1559:"As a matter of fact, I think it would be quite easy. You could set up a foundation, with an annual endowment of thirty million dollars. Research workers in need of funds could apply for grants, if they could mail out a convincing case. Have ten committees, each committee, each composed of twelve scientists, appointed to pass on these applications. Take the most active scientists out of the laboratory and make them members of these committees. And the very best men in the field should be appointed as chairman at salaries of fifty thousand dollars each. Also have about twenty prizes of one hundred thousand dollars each for the best scientific papers of the year. This is just about all you would have to do. Your lawyers could easily prepare a charter for the foundation. As a matter of fact, any of the National Science Foundation bills which were introduced in the Seventy-ninth and Eightieth Congress could perfectly well serve as a model."
40:
1564:"First of all, the best scientists would be removed from their laboratories and kept busy on committees passing on applications for funds. Secondly the scientific workers in need of funds would concentrate on problems which were considered promising and were pretty certain to lead to publishable results. For a few years there might be a great increase in scientific output; but by going after the obvious, pretty soon science would dry out. Science would become something like a parlor game. Somethings would be considered interesting, others not. There would be fashions. Those who followed the fashions would get grants. Those who wouldn’t would not, and pretty soon they would learn to follow the fashion, too."
1494:, have praised author-level metrics as a "useful yardstick with which to compare, in an unbiased way, different individuals competing for the same resource when an important evaluation criterion is scientific achievement." However, other members of the scientific community, and even Hirsch himself, have criticized them as particularly susceptible to
660:-index captures the citation impact of the publications. One can be easily convinced that ranking in coauthorship networks should take into account both measures to generate a realistic and acceptable ranking." Several author ranking systems have been proposed already, for instance the Phys Author Rank Algorithm.
745:
SciVal. FWCI equals to the total citations actually received divided by the total citations that would be expected based on the average of the considered field. FWCI of 1 means that the output performs just as expected for the global average. More than 1 means that the author outperforms the average,
3251:
I proposed the H-index hoping it would be an objective measure of scientific achievement. By and large, I think this is believed to be the case. But I have now come to believe that it can also fail spectacularly and have severe unintended negative consequences. I can understand how the sorcerer's
711:, “he RG Score allows real-time feedback from the people who matter: the scientists themselves.” RG Score has been reported to be correlated with existing author-level metrics and has an undisclosed calculation methodology. Two studies reported that RG Score seems to incorporate the
2073:
West, Jevin D.; Jensen, Michael C.; Dandrea, Ralph J.; Gordon, Gregory J.; Bergstrom, Carl T. (April 2013). "Author-level
Eigenfactor metrics: Evaluating the influence of authors, institutions, and countries within the social science research network community".
234:
which attempt to measure the bibliometric impact of academic journals rather than individuals. However, metrics originally developed for academic journals can be reported at researcher level, such as the author-level eigenfactor and the author impact factor.
1779:
West, Jevin D.; Jensen, Michael C.; Dandrea, Ralph J.; Gordon, Gregory J.; Bergstrom, Carl T. (2013). "Author-level
Eigenfactor metrics: Evaluating the influence of authors, institutions, and countries within the social science research network community".
226:
These quantitative comparisons between researchers are mostly done to distribute resources (such as money and academic positions). However, there is still debate in the academic world about how effectively author-level metrics accomplish this objective.
214:
of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or
293:-index is equal to 4 because the 4th publication has 4 citations and the 5th has only 3. In contrast, if the same publications have 25, 8, 5, 3, and 3 citations, then the index is 3 because the fourth paper has only 3 citations.
1178:
1071:-index combines the number of citations, the number of coauthors, the age of publications into a single value, which is independent of the number of publications and conveniently ranges from 0.0 to 9.9. With
1443:. Unlike the h-index, AIF is able to capture trends and variations of the impact of the scientific output of scientists over time, which is a growing measure taking into account the whole career path.
1528:. A study analyzing >120 million papers in the specific field of biology showed that the validity of citation-based measures is being compromised and their usefulness is lessening. As predicted by
1458:
There are a number of models proposed to incorporate the relative contribution of each author to a paper, for instance by accounting for the rank in the sequence of authors. A generalization of the
481:
To avoid incentivizing hyperautorship with more than 100 coauthors per paper it might be simpler to divide citation counts by the number of authors before ordering the papers and obtaining the
3407:
1782:
606:
379:
1462:-index and some other indices that gives additional information about the shape of the author's citation function (heavy-tailed, flat/peaked, etc.) has been proposed. Because the
2499:
von Bohlen und
Halbach O (2011). "How to judge a book by its cover? How useful are bibliometric indices for the evaluation of "scientific quality" or "scientific productivity"?".
727:
SciVal rankings of individual authors. While it was found to be correlated with different university rankings, the correlation in between these rankings themselves was higher.
1474:-index is a cumulative measure, it contains intrinsic auto-correlation that led to significant overestimation of its predictability. Thus, the true predictability of future
2351:
417:
964:-index accounts not only for the citations but for the quality of the citations in terms of the collaboration distance between citing and cited authors. A scientist has
1421:
1292:
900:
764:
1257:
674:
The i-10 index indicates the number of academic publications an author has written that have been cited by at least 10 sources. It was introduced in July 2011 by
784:
1466:-index was never meant to measure future publication success, recently, a group of researchers has investigated the features that are most predictive of future
1441:
1398:
1378:
1358:
1338:
873:
437:
3401:
Emilio
Ferrara & Alfonso Romero; Romero (2013). "Scientific impact evaluation and the effect of self-citations: Mitigating the bias by discounting the
541:
lower percentages are mass producers. As these metrics are percentages, they are intended to give a qualitative description to supplement the quantitative
1513:, a practice in which an editor of a journal forces authors to add spurious citations to their own articles before the journal will agree to publish it.
2116:
Kameshwaran, Sampath; Pandit, Vinayaka; Mehta, Sameep; Viswanadham, Nukala; Dixit, Kashyap (2010). "Outcome aware ranking in interaction networks".
2102:
2687:
Bras-Amorós, M.; Domingo-Ferrer, J.; Torra, V (2011). "A bibliometric index based on the collaboration distance between cited and citing authors".
2314:
1542:, also expressed criticism of the decision-making system for scientific funding in his book "The Voice of the Dolphins and Other Stories". Senator
634:
for single authors. Eigenfactor regards authors as nodes in a network of citations. The score of an author according to this metric is his or her
1505:-index can be manipulated through self-citations, and even computer-generated nonsense documents can be used for that purpose, for example using
1208:-index, accounting for the non-entropic distribution of citations, has been proposed and it has been shown to be in a very good correlation with
1092:
719:– users that are the most active on ResearchGate usually do not have high RG scores. It was also found to be strongly positively correlated with
616:
is an effective way to mitigate this bias, obtaining a universal impact metric that allows comparison of scholars across different disciplines.
289:
this position). For example, if we have a researcher with 5 publications A, B, C, D, and E with 10, 8, 5, 4, and 3 citations, respectively, the
4353:
2819:"A citation-based, author- and age-normalized, logarithmic index for evaluation of individual researchers independently of publication counts"
4338:
4181:
3830:
39:
2259:
190:
1501:
Work in bibliometrics has demonstrated multiple techniques for the manipulation of popular author-level metrics. The most used metric
4348:
935:-index for ignored citations, and therefore is especially useful for highly cited scientists and for comparing those with the same
2189:
443:-index, although it depends on the field, can be normalized by a simple rescaling factor. For example, assuming as standard the
2420:
1525:
3756:
3729:
3702:
3783:
2438:
3683:
Labor-Health, Education, and
Welfare Appropriations for 1962, Hearings Before the Subcommittee of ... , 87-1 on H.R. 7035
1547:
4108:
3793:
3766:
3739:
3712:
2149:
4171:
3823:
2133:
3019:
Gągolewski, M.; Grzegorzewski, P. (2009). "A geometric approach to the construction of scientific impact indices".
1881:
Batista P. D.; et al. (2006). "Is it possible to compare researchers with different scientific interests?".
1746:
4118:
1532:, quantity of publications is not a good metric anymore as a result of shorter papers and longer author lists.
183:
119:
4368:
2722:
1470:-index. It is possible to try the predictions using an online tool. However, later work has shown that since
570:
318:
136:
1554:. Szilard's work focuses on metrics slowing scientific progress, rather than on specific methods of gaming:
4404:
4389:
4363:
4333:
3816:
2923:
Wu, Qiang (2009). "The w-index: A measure to assess scientific impact by focusing on widely cited papers".
4328:
3881:
3311:
Gálvez RH (March 2017). "Assessing author self-citation as a mechanism of relevant knowledge diffusion".
2392:
Yu, Min-Chun (February 2016). "ResearchGate: An effective altmetric indicator for active researchers?".
2283:
Yu, Min-Chun (February 2016). "ResearchGate: An effective altmetric indicator for active researchers?".
4343:
4323:
2118:
Proceedings of the 19th ACM international conference on
Information and knowledge management – CIKM '10
2028:
Kaur, Jasleen; Radicchi, Filippo; Menczer, Filippo (2013). "Universality of scholarly impact metrics".
4394:
3464:
1685:
517:
metrics measure the relative area within a scientist's citation distribution in the low impact area,
176:
23:
4358:
2238:
1482:-index can be timed to analyze its evolution during one's career, employing different time windows.
3356:
2103:"Towards simultaneously exploiting structure and outcomes in interaction networks for node ranking"
1883:
485:, as originally suggested by Hirsch. This index, also called h-frac, is not highly correlated with
2319:
Proceedings of the
Quantifying and Analysing Scholarly Communication on the Web Workshop (ASCW'15)
4260:
4204:
2352:"A relational altmetric? Network centrality on ResearchGate as an indicator of scientific impact"
2337:
Exploring the
ResearchGate score as an academic metric: Reflections and implications for practice
1043:-index on the number of highly cited papers and has many cited paper and uncited paper under the
384:
3755:
Welpe, Isabell M.; Wollersheim, Jutta; Ringelhan, Stefanie; Osterloh, Margit (7 November 2014).
4300:
4016:
3972:
3681:
2456:
2233:
1539:
635:
82:
2162:
1403:
4290:
4265:
4042:
3951:
3863:
1262:
712:
463: = 9. This method has not been readily adopted, perhaps because of its complexity.
231:
55:
2218:
2101:
Kashyap Dixit; S Kameshwaran; Sameep Mehta; Vinayaka Pandit; N Viswanadham (February 2009).
4399:
4280:
4245:
4199:
4087:
4032:
3542:
3487:
3138:
3115:
Penner, Orion; Pan, Raj K.; Petersen, Alexander M.; Kaski, Kimmo; Fortunato, Santo (2013).
3071:
2905:
2746:
2602:
1951:
1837:
1700:
1635:
878:
720:
156:
749:
741:
Field-weighted
Citation Impact (FWCI) is an author-level metric introduced and applied by
8:
3839:
3186:-index to a publication and citation time window: A case study of a timed Hirsch index".
1239:
3546:
3491:
3142:
3075:
2909:
2750:
2606:
1955:
1841:
1704:
1639:
769:
567:-index has been shown to have a strong discipline bias. However, a simple normalization
4250:
3886:
3858:
3640:
3617:
3605:
3511:
3434:
3416:
3378:
3347:
3328:
3293:
3240:
3213:
3195:
3159:
3128:
3116:
3092:
3059:
3036:
2996:
2969:
2950:
2932:
2895:
2845:
2818:
2762:
2736:
2625:
2586:
2567:
2374:
2251:
2055:
2037:
1974:
1941:
1929:
1910:
1892:
1858:
1827:
1818:
1813:
1724:
1658:
1625:
1613:
1426:
1383:
1363:
1343:
1323:
858:
422:
3606:"Over-optimization of academic publishing metrics: observing Goodhart's Law in action"
3231:
Hirsch, Jorge E. (2020). "Superconductivity, What the H? The
Emperor Has No Clothes".
715:
into the calculation. The RG Score was found to be negatively correlated with network
270:
is the function that corresponds to the number of citations for each publication, the
4306:
4194:
4161:
3982:
3903:
3789:
3762:
3735:
3708:
3645:
3560:
3503:
3453:
3383:
3345:
3285:
3164:
3097:
3001:
2954:
2669:
2630:
2571:
2518:
2501:
2129:
2100:
1979:
1914:
1863:
1716:
1663:
1580:
1529:
1510:
1495:
827:
is the number of years since the first published paper of the scientist; also called
126:
97:
92:
3727:
3515:
3438:
3297:
3217:
2766:
1728:
4295:
4209:
3931:
3853:
3635:
3627:
3550:
3495:
3426:
3373:
3365:
3332:
3320:
3277:
3205:
3154:
3146:
3087:
3079:
3028:
2991:
2981:
2942:
2840:
2830:
2797:
2754:
2704:
2696:
2661:
2620:
2610:
2557:
2549:
2510:
2401:
2378:
2366:
2292:
2255:
2243:
2121:
2083:
2059:
2047:
2010:
1969:
1959:
1902:
1853:
1845:
1791:
1761:
1708:
1653:
1643:
513:
upper, to give a more accurate representation of the distribution shape. The three
281:
from the largest to the lowest value. Then, we look for the last position in which
216:
207:
163:
3040:
2835:
4270:
4067:
4057:
4004:
3987:
3913:
3631:
2986:
2615:
2315:"A Critical Look at the ResearchGate Score as a Measure of Scientific Reputation"
1964:
1551:
1491:
141:
131:
31:
3704:
Opening Science: The Evolving Guide on How the Internet is Changing Research ...
3478:
Wilhite, A. W.; Fong, E. A. (2012). "Coercive Citation in Academic Publishing".
2514:
1520:-index is considered as a decision criterion for research funding agencies, the
653:
4219:
4189:
4125:
4092:
4062:
4011:
3898:
3893:
3555:
3530:
3281:
3055:
2727:
2665:
1585:
1543:
1018:
679:
107:
102:
3369:
3324:
3209:
3032:
2968:
Tscharntke, T.; Hochberg, M. E.; Rand, T. A.; Resh, V. H.; Krauss, J. (2007).
2802:
2781:
2700:
2553:
2405:
2296:
2051:
2014:
1906:
1712:
4383:
4275:
4082:
4052:
3936:
3921:
3265:
1814:"Author Impact Factor: Tracking the dynamics of individual scientific impact"
1317:
211:
151:
3499:
2970:"Author Sequence and Credit for Contributions in Multiauthored Publications"
2886:
Silagadze, Z. K. (2010). "Citation entropy and research impact estimation".
2125:
2001:
index research output measurement: Two approaches to enhance its accuracy".
1648:
3649:
3564:
3507:
3387:
3289:
3168:
3101:
3005:
2673:
2634:
2522:
1983:
1867:
1720:
1667:
1575:
1173:{\displaystyle L=\ln \left({\sum _{i}{\frac {c_{i}}{a_{i}y_{i}}}}\right)+1}
708:
704:
220:
1930:"The h-index is no longer an effective correlate of scientific reputation"
4255:
4113:
4072:
3926:
3728:
Sally Morris; Ed Barnas; Douglas LaFrenier; Margaret Reich (2013-02-21).
3579:
3400:
2686:
2339:. Quantifying and Analysing Scholarly Communication on the Web (ASCW'15).
1765:
1535:
1521:
992:) citations are from authors which are at collaboration distance at most
652:
It has been argued that "For an individual researcher, a measure such as
631:
114:
65:
2708:
2475:
2219:"ResearchGate: Disseminating, communicating, and measuring Scholarship?"
1897:
1630:
980:
citations are from authors which are at collaboration distance at least
4135:
4037:
1047:-core. This improvement can enhance the measurement sensitivity of the
716:
50:
3808:
3531:"Highly cited researcher banned from journal board for citation abuse"
3430:
3408:
Journal of the American Society for Information Science and Technology
3150:
2946:
2925:
Journal of the American Society for Information Science and Technology
2758:
2370:
2247:
2087:
2076:
Journal of the American Society for Information Science and Technology
1849:
1795:
1783:
Journal of the American Society for Information Science and Technology
4156:
3999:
3461:
Laboratoire d'Informatique de Grenoble RR-LIG-2008 (technical report)
723:
university rankings at the institutional level, but only weakly with
146:
3083:
2562:
529:
center, and the area from publications with the highest visibility,
4229:
4224:
4151:
3941:
3622:
3245:
2741:
2457:"Subject Guides: 6. Measure Impact: Field-Weighted Citation Impact"
1946:
1478:-index is much lower compared to what has been claimed before. The
746:
and less than 1 means that the author underperforms. For instance,
724:
537:
upper percentages are perfectionists, whereas scientists with high
87:
3782:
Ding, Ying; Rousseau, Ronald; Wolfram, Dietmar (6 November 2014).
3421:
3200:
3133:
2937:
2900:
2042:
1832:
1360:
is the mean number of citations given by papers published in year
4166:
4130:
4077:
3754:
2359:
Journal of the Association for Information Science and Technology
2226:
Journal of the Association for Information Science and Technology
2115:
1614:"An index to quantify an individual's scientific research output"
849:
271:
75:
70:
3758:
Incentives and Performance: Governance of Research Organizations
3680:
Committee, United States Congress Senate Appropriations (1961).
3346:
Christoph Bartneck & Servaas Kokkelmans; Kokkelmans (2011).
1997:
Bornmann, Lutz; Mutz, Rüdiger; Daniel, Hans-Dieter (2010). "The
4214:
3977:
3967:
1506:
742:
675:
3577:
3454:
Ike Antkare one of the great stars in the scientific firmament
1880:
656:
captures the structural properties of the network whereas the
315:-index normalized by the number of authors has been proposed:
4285:
3946:
2817:
Belikov, Aleksey V.; Belikov, Vitaly V. (22 September 2015).
3994:
3018:
1039:
The RA-index accommodates improving the sensitivity of the
489:-index and is currently correlated with scientific awards.
2967:
2421:"Guides: Research Metrics: Field-Weighted Citation Impact"
1186:-index is automatically calculated by the Exaly database.
3304:
2721:
2648:
Dodson, M.V. (2009). "Citation analysis: Maintenance of
2498:
16:
Metrics of the bibliometric impact of individual authors
2790:
DESIDOC Journal of Library & Information Technology
2212:
2210:
2072:
1778:
3114:
2152:, Google, 16 November 2011, retrieved 24 November 2011
455:
is multiplied by three, that is, a mathematician with
277:
is computed as follows. First, we order the values of
1429:
1406:
1386:
1366:
1346:
1326:
1265:
1242:
1095:
923:-index, the square root of surplus citations for the
881:
861:
772:
752:
573:
425:
387:
321:
3053:
2861:
2207:
2190:"ResearchGate Releases RG Score - Klout for Boffins"
1259:
citations each and the other papers have fewer than
3781:
3352:-index manipulation through self-citation analysis"
3117:"On the Predictability of Future Impact in Science"
2654:
Biochemical and Biophysical Research Communications
2027:
1449:
439:papers. It was found that the distribution of the
2349:
1996:
1435:
1415:
1392:
1372:
1352:
1332:
1286:
1251:
1172:
894:
867:
778:
758:
600:
431:
411:
373:
285:is greater than or equal to the position (we call
1526:increasing the average length of coauthors' lists
1025:-index and the most cited paper of a researcher.
459: = 3 is equivalent to a biologist with
4381:
3785:Measuring Scholarly Impact: Methods and Practice
3701:Bartling, Sönke; Friesike, Sascha (2013-12-16).
3700:
2473:
875:articles, which have received together at least
3604:Fire, Michael; Guestrin, Carlos (1 June 2019).
2725:; Mendes, J.F.F. (2015). "Ranking Scientists".
2536:Egghe, Leo (2006). "Theory and practise of the
1618:Proceedings of the National Academy of Sciences
855:is introduced in 2006 as largest number of top
3661:
3659:
3060:"Future impact: Predicting scientific success"
2816:
2779:
2585:Zhang, Chun-Ting (2009). Joly, Etienne (ed.).
2350:Hoffmann, C. P.; Lutz, C.; Meckel, M. (2016).
2216:
1874:
419:being the number of authors considered in the
3824:
2163:""Professoren der nächsten Generation" | NZZ"
707:in 2012. According to ResearchGate's CEO Dr.
501:Three additional metrics have been proposed:
184:
3603:
3451:
3182:Schreiber, Michael (2015). "Restricting the
1927:
1811:
589:
582:
3667:The Voice of the Dolphins and Other Stories
3656:
3477:
3445:
3831:
3817:
1546:read excerpts of this criticism in a 1962
451:for mathematics collapses with it if this
191:
177:
3679:
3639:
3621:
3580:"Behavior mining in h-index ranking game"
3578:Rustam Tagiew; Dmitry I. Ignatov (2017).
3554:
3529:Noorden, Richard Van (February 6, 2020).
3420:
3377:
3310:
3244:
3199:
3181:
3158:
3132:
3091:
2995:
2985:
2936:
2899:
2885:
2844:
2834:
2801:
2740:
2624:
2614:
2561:
2330:
2328:
2312:
2308:
2306:
2237:
2041:
1973:
1963:
1945:
1896:
1857:
1831:
1812:Pan, Raj Kumar; Fortunato, Santo (2014).
1657:
1647:
1629:
1320:applied to authors. The AIF of an author
630:Author-level Eigenfactor is a version of
3471:
1807:
1805:
1683:
1607:
1605:
1603:
1601:
703:is an author-level metric introduced by
3838:
3528:
3522:
3263:
2780:Fatchur Rochim, Adian (November 2018).
2187:
1236:of a researcher's papers have at least
601:{\displaystyle h/\langle h\rangle _{d}}
374:{\displaystyle h_{I}=h^{2}/N_{a}^{(T)}}
4382:
3230:
2715:
2647:
2334:
2325:
2313:Kraker, Peter; Lex, Elisabeth (2015).
2303:
2150:"Google Scholar Citations Open To All"
1744:
1611:
4339:Academic databases and search engines
3812:
3669:. New York: Simon and Schuster. 1961.
3054:Acuna, Daniel E.; Allesina, Stefano;
2584:
2535:
2529:
1921:
1802:
1747:"How scientometry is killing science"
1598:
1509:. Metrics can also be manipulated by
2866:Free database of papers and journals
2188:Knowles, Jamillah (10 August 2012).
2148:Connor, James; Google Scholar Blog.
1772:
1740:
1738:
1679:
1677:
1550:on the slowing of government-funded
3266:"The Art of Scientific Performance"
2385:
447:s for biology, the distribution of
13:
4109:Academic journal publishing reform
3731:The Handbook of Journal Publishing
3694:
3257:
2922:
2859:
2391:
2282:
1490:Some academics, such as physicist
1407:
1316:Author Impact Factor (AIF) is the
1087:-index is defined by the formula:
238:
14:
4416:
2454:
2418:
2217:Thelwall, M.; Kousha, K. (2014).
1735:
1674:
1612:Hirsch, J. E. (7 November 2005).
230:Author-level metrics differ from
3252:apprentice must have felt. (p.5)
2587:"The e-Index, Complementing the
1232:-index is defined as follow: if
521:lower, the area captured by the
38:
3673:
3597:
3571:
3394:
3339:
3270:Trends in Ecology and Evolution
3224:
3175:
3108:
3047:
3012:
2961:
2916:
2879:
2853:
2810:
2773:
2680:
2641:
2578:
2492:
2474:Anne-Wil Harzing (2008-04-23).
2467:
2448:
2431:
2412:
2343:
2276:
2265:from the original on 2018-02-18
2181:
2155:
2142:
2094:
2066:
1686:"The mismeasurement of science"
3734:. Cambridge University Press.
2439:"Snowball Metrics Recipe Book"
2021:
1990:
1281:
1269:
735:Field-weighted Citation Impact
404:
398:
366:
360:
1:
4369:Category:Scientific documents
2836:10.12688/f1000research.7070.1
1928:Koltun, V; Hafner, D (2021).
1591:
1294:citations, that researcher's
4364:Category:Academic publishing
2987:10.1371/journal.pbio.0050018
2652:-index and use of e-index".
2616:10.1371/journal.pone.0005429
2591:-Index for Excess Citations"
1965:10.1371/journal.pone.0253397
1524:to this competition implies
1485:
612:of scholars in a discipline
533:upper. Scientists with high
7:
2515:10.1016/j.aanat.2011.03.011
2394:Computers in Human Behavior
2285:Computers in Human Behavior
2110:IBM Research Report R109002
1684:Peter A., Lawrence (2007).
1569:
786:% more likely to be cited.
412:{\displaystyle N_{a}^{(T)}}
10:
4421:
4182:Indexes and search engines
3632:10.1093/gigascience/giz053
3556:10.1038/d41586-020-00335-7
3282:10.1016/j.tree.2018.08.003
2666:10.1016/j.bbrc.2009.07.091
1745:Şengör, Celâl. AM (2014).
1017:-index corresponds to the
4316:
4238:
4180:
4144:
4101:
4025:
3960:
3912:
3874:
3846:
3587:CEUR Workshop Proceedings
3465:Joseph Fourier University
3370:10.1007/s11192-010-0306-5
3325:10.1007/s11192-017-2330-1
3210:10.1016/j.joi.2014.12.005
3033:10.1007/s11192-008-2253-y
2803:10.14429/djlit.38.6.12937
2701:10.1016/j.joi.2010.11.001
2554:10.1007/s11192-006-0144-7
2406:10.1016/j.chb.2015.11.007
2297:10.1016/j.chb.2015.11.007
2052:10.1016/j.joi.2013.09.002
2015:10.1016/j.joi.2010.03.005
1907:10.1007/s11192-006-0090-4
1713:10.1016/j.cub.2007.06.014
1450:Additional variations of
1079:as number of authors and
678:as part of their work on
2461:canterbury.libguides.com
1416:{\displaystyle \Delta y}
1075:as number of citations,
624:Author-level Eigenfactor
4359:Style/formatting guides
4261:Scholarly communication
3961:Other publication types
3500:10.1126/science.1212540
3188:Journal of Informetrics
2782:"Improving fairness of
2689:Journal of Informetrics
2126:10.1145/1871437.1871470
2030:Journal of Informetrics
2003:Journal of Informetrics
1649:10.1073/pnas.0507655102
1522:game-theoretic solution
1380:to papers published by
1287:{\displaystyle 10(w+1)}
4301:Least publishable unit
3973:Collection of articles
3264:Seppelt, Ralf (2018).
2860:Engine, exaly Search.
1567:
1540:nuclear chain reaction
1538:, the inventor of the
1437:
1417:
1394:
1374:
1354:
1334:
1288:
1253:
1174:
896:
869:
780:
760:
713:journal impact factors
636:eigenvector centrality
602:
433:
413:
375:
83:Bibliographic coupling
4291:Electronic publishing
4266:Scientific literature
4043:Article-level metrics
3452:Labbé, Cyril (2010).
2862:"exaly Search Engine"
2335:Jordan, Katy (2015).
1556:
1516:Additionally, if the
1438:
1418:
1395:
1375:
1355:
1335:
1289:
1254:
1175:
897:
895:{\displaystyle g^{2}}
870:
807:-index is defined as
781:
761:
603:
434:
414:
376:
232:journal-level metrics
219:using statistical or
4334:Open-access journals
4281:Open scientific data
4088:SCImago Journal Rank
4048:Author-level metrics
4033:Acknowledgment index
2476:"Reflections on the
2425:libguides.usc.edu.au
2167:Neue Zürcher Zeitung
1766:10.1130/GSATG226GW.1
1427:
1404:
1384:
1364:
1344:
1324:
1310:Author Impact Factor
1263:
1240:
1093:
1083:as number of years,
879:
859:
770:
759:{\displaystyle 1.55}
750:
721:Quacquarelli Symonds
571:
423:
385:
319:
204:Author-level metrics
4405:Cheating in science
4390:Academic publishing
4329:Scientific journals
3840:Academic publishing
3547:2020Natur.578..200V
3492:2012Sci...335..542W
3233:Physics and Society
3143:2013NatSR...3E3052P
3076:2012Natur.489..201A
2910:2009arXiv0905.1039S
2751:2015NatPh..11..882D
2607:2009PLoSO...4.5429Z
1956:2021PLoSO..1653397K
1842:2014NatSR...4E4880P
1705:2007CBio...17.R583L
1640:2005PNAS..10216569H
1624:(46): 16569–16572.
1252:{\displaystyle 10w}
408:
370:
212:bibliometric impact
4349:Copyright policies
4344:University presses
4251:Scientific writing
4119:Citation advantage
4026:Impact and ranking
3859:Scientific journal
3121:Scientific Reports
3056:Kording, Konrad P.
1819:Scientific Reports
1433:
1423:years before year
1413:
1390:
1370:
1350:
1330:
1284:
1249:
1170:
1122:
931:, complements the
892:
865:
779:{\displaystyle 55}
776:
756:
697:ResearchGate Score
598:
483:fractional h-index
429:
409:
388:
371:
350:
120:Proximity Analysis
4377:
4376:
4354:Preprint policies
4324:Academic journals
4307:Publish or perish
4162:Version of record
4102:Reform and access
3904:Literature review
3541:(7794): 200–201.
3431:10.1002/asi.22976
3151:10.1038/srep03052
2947:10.1002/asi.21276
2894:(2010): 2325–33.
2888:Acta Phys. Pol. B
2786:-index: RA-index"
2759:10.1038/nphys3533
2723:Dorogovtsev, S.N.
2502:Annals of Anatomy
2371:10.1002/asi.23423
2248:10.1002/asi.23236
2088:10.1002/asi.22790
1850:10.1038/srep04880
1796:10.1002/asi.22790
1699:(15): R583–R585.
1511:coercive citation
1496:gaming the system
1447:
1446:
1436:{\displaystyle y}
1393:{\displaystyle X}
1373:{\displaystyle y}
1353:{\displaystyle y}
1333:{\displaystyle X}
1157:
1113:
984:, and the other (
868:{\displaystyle g}
432:{\displaystyle h}
210:that measure the
201:
200:
127:Coercive citation
4412:
4395:Citation metrics
4296:Ingelfinger rule
4210:Semantic Scholar
3932:Technical report
3854:Academic journal
3833:
3826:
3819:
3810:
3809:
3805:
3803:
3802:
3778:
3776:
3775:
3751:
3749:
3748:
3724:
3722:
3721:
3688:
3687:
3677:
3671:
3670:
3663:
3654:
3653:
3643:
3625:
3601:
3595:
3594:
3584:
3575:
3569:
3568:
3558:
3526:
3520:
3519:
3475:
3469:
3468:
3458:
3449:
3443:
3442:
3424:
3398:
3392:
3391:
3381:
3343:
3337:
3336:
3319:(3): 1801–1812.
3308:
3302:
3301:
3261:
3255:
3254:
3248:
3228:
3222:
3221:
3203:
3179:
3173:
3172:
3162:
3136:
3112:
3106:
3105:
3095:
3070:(7415): 201–02.
3051:
3045:
3044:
3016:
3010:
3009:
2999:
2989:
2965:
2959:
2958:
2940:
2920:
2914:
2913:
2903:
2883:
2877:
2876:
2874:
2872:
2857:
2851:
2850:
2848:
2838:
2814:
2808:
2807:
2805:
2777:
2771:
2770:
2744:
2719:
2713:
2712:
2684:
2678:
2677:
2645:
2639:
2638:
2628:
2618:
2582:
2576:
2575:
2565:
2533:
2527:
2526:
2496:
2490:
2489:
2487:
2486:
2471:
2465:
2464:
2452:
2446:
2445:
2443:
2435:
2429:
2428:
2416:
2410:
2409:
2389:
2383:
2382:
2356:
2347:
2341:
2340:
2332:
2323:
2322:
2310:
2301:
2300:
2280:
2274:
2273:
2271:
2270:
2264:
2241:
2223:
2214:
2205:
2204:
2202:
2200:
2185:
2179:
2178:
2176:
2174:
2159:
2153:
2146:
2140:
2139:
2113:
2107:
2098:
2092:
2091:
2070:
2064:
2063:
2045:
2025:
2019:
2018:
1994:
1988:
1987:
1977:
1967:
1949:
1925:
1919:
1918:
1900:
1878:
1872:
1871:
1861:
1835:
1809:
1800:
1799:
1776:
1770:
1769:
1751:
1742:
1733:
1732:
1690:
1681:
1672:
1671:
1661:
1651:
1633:
1609:
1442:
1440:
1439:
1434:
1422:
1420:
1419:
1414:
1399:
1397:
1396:
1391:
1379:
1377:
1376:
1371:
1359:
1357:
1356:
1351:
1339:
1337:
1336:
1331:
1312:
1311:
1293:
1291:
1290:
1285:
1258:
1256:
1255:
1250:
1225:
1224:
1200:
1199:
1179:
1177:
1176:
1171:
1163:
1159:
1158:
1156:
1155:
1154:
1145:
1144:
1134:
1133:
1124:
1121:
1064:
1063:
1035:
1034:
1009:
1008:
956:
955:
915:
914:
901:
899:
898:
893:
891:
890:
874:
872:
871:
866:
844:
843:
799:
798:
785:
783:
782:
777:
765:
763:
762:
757:
737:
736:
692:
691:
670:
669:
648:
647:
638:in the network.
626:
625:
607:
605:
604:
599:
597:
596:
581:
559:
558:
477:
476:
438:
436:
435:
430:
418:
416:
415:
410:
407:
396:
380:
378:
377:
372:
369:
358:
349:
344:
343:
331:
330:
307:
306:
262:
261:
243:
242:
208:citation metrics
193:
186:
179:
164:Kardashian Index
42:
32:Citation metrics
19:
18:
4420:
4419:
4415:
4414:
4413:
4411:
4410:
4409:
4380:
4379:
4378:
4373:
4312:
4271:Learned society
4234:
4176:
4140:
4097:
4068:Journal ranking
4058:Citation impact
4021:
3956:
3914:Grey literature
3908:
3870:
3842:
3837:
3800:
3798:
3796:
3773:
3771:
3769:
3746:
3744:
3742:
3719:
3717:
3715:
3697:
3695:Further reading
3692:
3691:
3686:. p. 1498.
3678:
3674:
3665:
3664:
3657:
3602:
3598:
3582:
3576:
3572:
3527:
3523:
3486:(6068): 542–3.
3476:
3472:
3456:
3450:
3446:
3415:(11): 2332–39.
3399:
3395:
3344:
3340:
3309:
3305:
3276:(33): 805–809.
3262:
3258:
3229:
3225:
3180:
3176:
3113:
3109:
3084:10.1038/489201a
3052:
3048:
3017:
3013:
2966:
2962:
2921:
2917:
2884:
2880:
2870:
2868:
2858:
2854:
2815:
2811:
2778:
2774:
2720:
2716:
2685:
2681:
2646:
2642:
2583:
2579:
2534:
2530:
2497:
2493:
2484:
2482:
2472:
2468:
2453:
2449:
2441:
2437:
2436:
2432:
2417:
2413:
2390:
2386:
2354:
2348:
2344:
2333:
2326:
2311:
2304:
2281:
2277:
2268:
2266:
2262:
2239:10.1.1.589.5396
2221:
2215:
2208:
2198:
2196:
2186:
2182:
2172:
2170:
2161:
2160:
2156:
2147:
2143:
2136:
2120:. p. 229.
2105:
2099:
2095:
2071:
2067:
2026:
2022:
1995:
1991:
1940:(6): e0253397.
1926:
1922:
1898:physics/0509048
1879:
1875:
1810:
1803:
1777:
1773:
1749:
1743:
1736:
1693:Current Biology
1688:
1682:
1675:
1631:physics/0508025
1610:
1599:
1594:
1572:
1552:cancer research
1492:Jorge E. Hirsch
1488:
1456:
1428:
1425:
1424:
1405:
1402:
1401:
1400:in a period of
1385:
1382:
1381:
1365:
1362:
1361:
1345:
1342:
1341:
1325:
1322:
1321:
1309:
1308:
1264:
1261:
1260:
1241:
1238:
1237:
1219:
1218:
1194:
1193:
1150:
1146:
1140:
1136:
1135:
1129:
1125:
1123:
1117:
1112:
1108:
1094:
1091:
1090:
1058:
1057:
1032:
1031:
1003:
1002:
950:
949:
943:-index group).
909:
908:
886:
882:
880:
877:
876:
860:
857:
856:
838:
837:
793:
792:
771:
768:
767:
751:
748:
747:
734:
733:
689:
688:
667:
666:
645:
644:
623:
622:
608:by the average
592:
588:
577:
572:
569:
568:
552:
551:
470:
469:
424:
421:
420:
397:
392:
386:
383:
382:
359:
354:
345:
339:
335:
326:
322:
320:
317:
316:
300:
299:
256:
255:
241:
239:List of metrics
221:graph-theoretic
197:
168:
132:Citation cartel
17:
12:
11:
5:
4418:
4408:
4407:
4402:
4397:
4392:
4375:
4374:
4372:
4371:
4366:
4361:
4356:
4351:
4346:
4341:
4336:
4331:
4326:
4320:
4318:
4314:
4313:
4311:
4310:
4303:
4298:
4293:
4288:
4283:
4278:
4273:
4268:
4263:
4258:
4253:
4248:
4242:
4240:
4239:Related topics
4236:
4235:
4233:
4232:
4227:
4222:
4220:Web of Science
4217:
4212:
4207:
4202:
4197:
4192:
4190:Google Scholar
4186:
4184:
4178:
4177:
4175:
4174:
4169:
4164:
4159:
4154:
4148:
4146:
4142:
4141:
4139:
4138:
4133:
4128:
4126:Serials crisis
4123:
4122:
4121:
4111:
4105:
4103:
4099:
4098:
4096:
4095:
4093:Scientometrics
4090:
4085:
4080:
4075:
4070:
4065:
4063:Citation index
4060:
4055:
4050:
4045:
4040:
4035:
4029:
4027:
4023:
4022:
4020:
4019:
4014:
4012:Poster session
4009:
4008:
4007:
4002:
3992:
3991:
3990:
3985:
3975:
3970:
3964:
3962:
3958:
3957:
3955:
3954:
3949:
3944:
3939:
3934:
3929:
3924:
3918:
3916:
3910:
3909:
3907:
3906:
3901:
3899:Position paper
3896:
3894:Review article
3891:
3890:
3889:
3878:
3876:
3872:
3871:
3869:
3868:
3867:
3866:
3856:
3850:
3848:
3844:
3843:
3836:
3835:
3828:
3821:
3813:
3807:
3806:
3795:978-3319103761
3794:
3779:
3768:978-3319097848
3767:
3752:
3741:978-1107653603
3740:
3725:
3714:978-3319000251
3713:
3696:
3693:
3690:
3689:
3672:
3655:
3596:
3570:
3521:
3470:
3444:
3393:
3357:Scientometrics
3338:
3313:Scientometrics
3303:
3256:
3223:
3174:
3127:(3052): 3052.
3107:
3046:
3021:Scientometrics
3011:
2960:
2931:(3): 609–614.
2915:
2878:
2852:
2809:
2796:(6): 378–386.
2772:
2735:(11): 882–84.
2728:Nature Physics
2714:
2679:
2640:
2577:
2548:(1): 131–152.
2542:Scientometrics
2528:
2491:
2466:
2455:Tauro, Kiera.
2447:
2430:
2411:
2384:
2365:(4): 765–775.
2342:
2324:
2302:
2275:
2232:(5): 876–889.
2206:
2180:
2154:
2141:
2134:
2093:
2082:(4): 787–801.
2065:
2020:
1989:
1920:
1884:Scientometrics
1873:
1801:
1790:(4): 787–801.
1771:
1734:
1673:
1596:
1595:
1593:
1590:
1589:
1588:
1586:Scientometrics
1583:
1581:Goodhart's law
1578:
1571:
1568:
1548:senate hearing
1544:J. Lister Hill
1530:Goodhart's law
1487:
1484:
1455:
1448:
1445:
1444:
1432:
1412:
1409:
1389:
1369:
1349:
1329:
1314:
1304:
1303:
1283:
1280:
1277:
1274:
1271:
1268:
1248:
1245:
1227:
1214:
1213:
1202:
1189:
1188:
1181:
1180:
1169:
1166:
1162:
1153:
1149:
1143:
1139:
1132:
1128:
1120:
1116:
1111:
1107:
1104:
1101:
1098:
1066:
1053:
1052:
1037:
1027:
1026:
1019:geometric mean
1011:
998:
997:
958:
945:
944:
917:
904:
903:
889:
885:
864:
846:
833:
832:
801:
788:
787:
775:
755:
739:
729:
728:
694:
684:
683:
680:Google Scholar
672:
662:
661:
650:
640:
639:
628:
618:
617:
595:
591:
587:
584:
580:
576:
561:
547:
546:
499:
491:
490:
479:
465:
464:
428:
406:
403:
400:
395:
391:
368:
365:
362:
357:
353:
348:
342:
338:
334:
329:
325:
311:An individual
309:
295:
294:
264:
251:
250:
247:
240:
237:
223:principles).
199:
198:
196:
195:
188:
181:
173:
170:
169:
167:
166:
161:
160:
159:
154:
149:
139:
134:
129:
124:
123:
122:
112:
111:
110:
105:
100:
95:
85:
80:
79:
78:
73:
68:
58:
53:
47:
44:
43:
35:
34:
28:
27:
15:
9:
6:
4:
3:
2:
4417:
4406:
4403:
4401:
4398:
4396:
4393:
4391:
4388:
4387:
4385:
4370:
4367:
4365:
4362:
4360:
4357:
4355:
4352:
4350:
4347:
4345:
4342:
4340:
4337:
4335:
4332:
4330:
4327:
4325:
4322:
4321:
4319:
4315:
4308:
4304:
4302:
4299:
4297:
4294:
4292:
4289:
4287:
4284:
4282:
4279:
4277:
4276:Open research
4274:
4272:
4269:
4267:
4264:
4262:
4259:
4257:
4254:
4252:
4249:
4247:
4244:
4243:
4241:
4237:
4231:
4228:
4226:
4223:
4221:
4218:
4216:
4213:
4211:
4208:
4206:
4203:
4201:
4198:
4196:
4193:
4191:
4188:
4187:
4185:
4183:
4179:
4173:
4170:
4168:
4165:
4163:
4160:
4158:
4155:
4153:
4150:
4149:
4147:
4143:
4137:
4134:
4132:
4129:
4127:
4124:
4120:
4117:
4116:
4115:
4112:
4110:
4107:
4106:
4104:
4100:
4094:
4091:
4089:
4086:
4084:
4083:Impact factor
4081:
4079:
4076:
4074:
4071:
4069:
4066:
4064:
4061:
4059:
4056:
4054:
4053:Bibliometrics
4051:
4049:
4046:
4044:
4041:
4039:
4036:
4034:
4031:
4030:
4028:
4024:
4018:
4015:
4013:
4010:
4006:
4003:
4001:
3998:
3997:
3996:
3993:
3989:
3986:
3984:
3981:
3980:
3979:
3976:
3974:
3971:
3969:
3966:
3965:
3963:
3959:
3953:
3950:
3948:
3945:
3943:
3940:
3938:
3937:Annual report
3935:
3933:
3930:
3928:
3925:
3923:
3922:Working paper
3920:
3919:
3917:
3915:
3911:
3905:
3902:
3900:
3897:
3895:
3892:
3888:
3885:
3884:
3883:
3880:
3879:
3877:
3873:
3865:
3864:Public health
3862:
3861:
3860:
3857:
3855:
3852:
3851:
3849:
3845:
3841:
3834:
3829:
3827:
3822:
3820:
3815:
3814:
3811:
3797:
3791:
3787:
3786:
3780:
3770:
3764:
3760:
3759:
3753:
3743:
3737:
3733:
3732:
3726:
3716:
3710:
3706:
3705:
3699:
3698:
3685:
3684:
3676:
3668:
3662:
3660:
3651:
3647:
3642:
3637:
3633:
3629:
3624:
3619:
3615:
3611:
3607:
3600:
3592:
3588:
3581:
3574:
3566:
3562:
3557:
3552:
3548:
3544:
3540:
3536:
3532:
3525:
3517:
3513:
3509:
3505:
3501:
3497:
3493:
3489:
3485:
3481:
3474:
3466:
3462:
3455:
3448:
3440:
3436:
3432:
3428:
3423:
3418:
3414:
3410:
3409:
3404:
3397:
3389:
3385:
3380:
3375:
3371:
3367:
3363:
3359:
3358:
3353:
3351:
3342:
3334:
3330:
3326:
3322:
3318:
3314:
3307:
3299:
3295:
3291:
3287:
3283:
3279:
3275:
3271:
3267:
3260:
3253:
3247:
3242:
3238:
3234:
3227:
3219:
3215:
3211:
3207:
3202:
3197:
3193:
3189:
3185:
3178:
3170:
3166:
3161:
3156:
3152:
3148:
3144:
3140:
3135:
3130:
3126:
3122:
3118:
3111:
3103:
3099:
3094:
3089:
3085:
3081:
3077:
3073:
3069:
3065:
3061:
3057:
3050:
3042:
3038:
3034:
3030:
3027:(3): 617–34.
3026:
3022:
3015:
3007:
3003:
2998:
2993:
2988:
2983:
2979:
2975:
2971:
2964:
2956:
2952:
2948:
2944:
2939:
2934:
2930:
2926:
2919:
2911:
2907:
2902:
2897:
2893:
2889:
2882:
2867:
2863:
2856:
2847:
2842:
2837:
2832:
2828:
2824:
2823:F1000Research
2820:
2813:
2804:
2799:
2795:
2791:
2787:
2785:
2776:
2768:
2764:
2760:
2756:
2752:
2748:
2743:
2738:
2734:
2730:
2729:
2724:
2718:
2710:
2706:
2702:
2698:
2695:(2): 248–64.
2694:
2690:
2683:
2675:
2671:
2667:
2663:
2660:(4): 625–26.
2659:
2655:
2651:
2644:
2636:
2632:
2627:
2622:
2617:
2612:
2608:
2604:
2600:
2596:
2592:
2590:
2581:
2573:
2569:
2564:
2559:
2555:
2551:
2547:
2543:
2539:
2532:
2524:
2520:
2516:
2512:
2509:(3): 191–96.
2508:
2504:
2503:
2495:
2481:
2479:
2470:
2462:
2458:
2451:
2440:
2434:
2426:
2422:
2415:
2407:
2403:
2400:: 1001–1006.
2399:
2395:
2388:
2380:
2376:
2372:
2368:
2364:
2360:
2353:
2346:
2338:
2331:
2329:
2320:
2316:
2309:
2307:
2298:
2294:
2291:: 1001–1006.
2290:
2286:
2279:
2261:
2257:
2253:
2249:
2245:
2240:
2235:
2231:
2227:
2220:
2213:
2211:
2195:
2191:
2184:
2168:
2164:
2158:
2151:
2145:
2137:
2135:9781450300995
2131:
2127:
2123:
2119:
2111:
2104:
2097:
2089:
2085:
2081:
2077:
2069:
2061:
2057:
2053:
2049:
2044:
2039:
2036:(4): 924–32.
2035:
2031:
2024:
2016:
2012:
2009:(3): 407–14.
2008:
2004:
2000:
1993:
1985:
1981:
1976:
1971:
1966:
1961:
1957:
1953:
1948:
1943:
1939:
1935:
1931:
1924:
1916:
1912:
1908:
1904:
1899:
1894:
1891:(1): 179–89.
1890:
1886:
1885:
1877:
1869:
1865:
1860:
1855:
1851:
1847:
1843:
1839:
1834:
1829:
1825:
1821:
1820:
1815:
1808:
1806:
1797:
1793:
1789:
1785:
1784:
1775:
1767:
1763:
1760:(12): 44–45.
1759:
1755:
1748:
1741:
1739:
1730:
1726:
1722:
1718:
1714:
1710:
1706:
1702:
1698:
1694:
1687:
1680:
1678:
1669:
1665:
1660:
1655:
1650:
1645:
1641:
1637:
1632:
1627:
1623:
1619:
1615:
1608:
1606:
1604:
1602:
1597:
1587:
1584:
1582:
1579:
1577:
1574:
1573:
1566:
1565:
1561:
1560:
1555:
1553:
1549:
1545:
1541:
1537:
1533:
1531:
1527:
1523:
1519:
1514:
1512:
1508:
1504:
1499:
1497:
1493:
1483:
1481:
1477:
1473:
1469:
1465:
1461:
1453:
1430:
1410:
1387:
1367:
1347:
1327:
1319:
1318:Impact Factor
1315:
1313:
1306:
1305:
1301:
1297:
1278:
1275:
1272:
1266:
1246:
1243:
1235:
1231:
1228:
1226:
1222:
1216:
1215:
1211:
1207:
1203:
1201:
1197:
1191:
1190:
1187:
1185:
1167:
1164:
1160:
1151:
1147:
1141:
1137:
1130:
1126:
1118:
1114:
1109:
1105:
1102:
1099:
1096:
1089:
1088:
1086:
1082:
1078:
1074:
1070:
1067:
1065:
1061:
1055:
1054:
1050:
1046:
1042:
1038:
1036:
1029:
1028:
1024:
1020:
1016:
1012:
1010:
1006:
1000:
999:
995:
991:
987:
983:
979:
975:
971:
967:
963:
959:
957:
953:
947:
946:
942:
938:
934:
930:
926:
922:
918:
916:
912:
906:
905:
887:
883:
862:
854:
852:
847:
845:
841:
835:
834:
830:
826:
822:
818:
814:
810:
806:
802:
800:
796:
790:
789:
773:
753:
744:
740:
738:
731:
730:
726:
722:
718:
714:
710:
706:
702:
698:
695:
693:
686:
685:
681:
677:
673:
671:
664:
663:
659:
655:
651:
649:
642:
641:
637:
633:
629:
627:
620:
619:
615:
611:
593:
585:
578:
574:
566:
562:
560:
556:
549:
548:
544:
540:
536:
532:
528:
524:
520:
516:
512:
508:
504:
500:
498:
497:
493:
492:
488:
484:
480:
478:
474:
467:
466:
462:
458:
454:
450:
446:
442:
426:
401:
393:
389:
363:
355:
351:
346:
340:
336:
332:
327:
323:
314:
310:
308:
304:
297:
296:
292:
288:
284:
280:
276:
274:
269:
266:Formally, if
265:
263:
259:
253:
252:
248:
245:
244:
236:
233:
228:
224:
222:
218:
213:
209:
205:
194:
189:
187:
182:
180:
175:
174:
172:
171:
165:
162:
158:
155:
153:
152:Impact factor
150:
148:
145:
144:
143:
142:Journal-level
140:
138:
135:
133:
130:
128:
125:
121:
118:
117:
116:
113:
109:
106:
104:
101:
99:
96:
94:
91:
90:
89:
86:
84:
81:
77:
74:
72:
69:
67:
64:
63:
62:
59:
57:
56:Article-level
54:
52:
49:
48:
46:
45:
41:
37:
36:
33:
30:
29:
25:
21:
20:
4047:
3799:. Retrieved
3788:. Springer.
3784:
3772:. Retrieved
3761:. Springer.
3757:
3745:. Retrieved
3730:
3718:. Retrieved
3703:
3682:
3675:
3666:
3613:
3609:
3599:
3590:
3586:
3573:
3538:
3534:
3524:
3483:
3479:
3473:
3460:
3447:
3412:
3406:
3402:
3396:
3364:(1): 85–98.
3361:
3355:
3349:
3341:
3316:
3312:
3306:
3273:
3269:
3259:
3250:
3236:
3232:
3226:
3191:
3187:
3183:
3177:
3124:
3120:
3110:
3067:
3063:
3049:
3024:
3020:
3014:
2977:
2974:PLOS Biology
2973:
2963:
2928:
2924:
2918:
2891:
2887:
2881:
2869:. Retrieved
2865:
2855:
2826:
2822:
2812:
2793:
2789:
2783:
2775:
2732:
2726:
2717:
2709:10261/138172
2692:
2688:
2682:
2657:
2653:
2649:
2643:
2601:(5): e5429.
2598:
2594:
2588:
2580:
2545:
2541:
2537:
2531:
2506:
2500:
2494:
2483:. Retrieved
2477:
2469:
2460:
2450:
2433:
2424:
2419:Cooke, Bec.
2414:
2397:
2393:
2387:
2362:
2358:
2345:
2336:
2318:
2288:
2284:
2278:
2267:. Retrieved
2229:
2225:
2197:. Retrieved
2194:The Next Web
2193:
2183:
2171:. Retrieved
2166:
2157:
2144:
2117:
2109:
2096:
2079:
2075:
2068:
2033:
2029:
2023:
2006:
2002:
1998:
1992:
1937:
1933:
1923:
1888:
1882:
1876:
1823:
1817:
1787:
1781:
1774:
1757:
1753:
1696:
1692:
1621:
1617:
1576:Academic age
1563:
1562:
1558:
1557:
1534:
1517:
1515:
1502:
1500:
1489:
1479:
1475:
1471:
1467:
1463:
1459:
1457:
1451:
1307:
1299:
1295:
1233:
1229:
1220:
1217:
1209:
1205:
1195:
1192:
1183:
1182:
1084:
1080:
1076:
1072:
1068:
1059:
1056:
1048:
1044:
1040:
1030:
1022:
1014:
1004:
1001:
993:
989:
985:
981:
977:
973:
969:
965:
961:
951:
948:
940:
939:-index (iso-
936:
932:
928:
927:-set beyond
924:
920:
910:
907:
850:
839:
836:
828:
824:
820:
816:
812:
808:
804:
794:
791:
732:
709:Ijad Madisch
705:ResearchGate
700:
696:
687:
665:
657:
654:Erdős number
646:Erdős number
643:
621:
613:
609:
564:
554:
550:
542:
538:
534:
530:
526:
522:
518:
514:
510:
509:center, and
506:
502:
495:
494:
486:
482:
472:
468:
460:
456:
452:
448:
444:
440:
312:
302:
298:
290:
286:
282:
278:
272:
267:
257:
254:
249:Description
229:
225:
203:
202:
61:Author-level
60:
4400:Game theory
4256:Peer review
4136:#ICanHazPDF
4114:Open access
4073:Eigenfactor
4017:Proceedings
3927:White paper
3610:GigaScience
3348:"Detecting
2169:(in German)
2114:; see also
1536:Leo Szilard
902:citations.
831:-quotient.
823:-index and
632:Eigenfactor
553:Normalized
471:Fractional
301:Individual
115:Co-citation
66:Eigenfactor
4384:Categories
4172:Retraction
4145:Versioning
4038:Altmetrics
3983:Biological
3801:2015-08-16
3774:2015-08-16
3747:2015-08-16
3720:2015-08-16
3707:Springer.
3623:1809.07841
3463:(Report).
3246:2001.09496
3194:: 150–55.
2980:(1): e18.
2742:1511.01545
2485:2013-07-18
2269:2018-07-30
1947:2102.03234
1592:References
1298:-index is
717:centrality
668:i-10-index
51:Altmetrics
4157:Postprint
4000:Monograph
3952:Lab notes
3422:1202.3119
3405:-index".
3201:1412.5050
3134:1306.0114
2955:119293304
2938:0805.4650
2901:0905.1039
2572:207236267
2540:-index".
2234:CiteSeerX
2043:1305.6339
1915:119068816
1833:1312.2650
1754:GSA Today
1486:Criticism
1408:Δ
1115:∑
1106:
1051:-index.
590:⟩
583:⟨
147:CiteScore
4230:OpenAlex
4225:Paperity
4152:Preprint
3988:Chemical
3942:Pamphlet
3887:Abstract
3847:Journals
3650:31144712
3593:: 52–61.
3565:32047304
3516:30073305
3508:22301307
3439:12693511
3388:21472020
3298:52890068
3290:30270172
3218:12320545
3169:24165898
3102:22972278
3058:(2012).
3006:17227141
2767:12533449
2674:19632203
2635:19415119
2595:PLOS ONE
2563:1942/981
2523:21507617
2260:Archived
1984:34181681
1934:PLOS ONE
1868:24814674
1826:: 4880.
1729:30518724
1721:17686424
1668:16275915
1570:See also
1340:in year
1033:RA-index
815:, where
725:Elsevier
701:RG Score
690:RG Score
545:-index.
525:-index,
217:journals
98:Dynamics
93:Analysis
88:Citation
24:a series
22:Part of
4246:Imprint
4167:Erratum
4131:Sci-Hub
4078:h-index
4005:Chapter
3641:6541803
3543:Bibcode
3488:Bibcode
3480:Science
3379:3043246
3333:6863843
3239:: 5–9.
3160:3810665
3139:Bibcode
3093:3770471
3072:Bibcode
2997:1769438
2906:Bibcode
2846:4654436
2829:: 884.
2747:Bibcode
2626:2673580
2603:Bibcode
2480:-index"
2444:. 2012.
2379:7769870
2256:8974197
2060:7415777
1975:8238192
1952:Bibcode
1859:4017244
1838:Bibcode
1701:Bibcode
1659:1283832
1636:Bibcode
1021:of the
968:-index
819:is the
505:lower,
381:, with
157:SCImago
76:H-index
71:G-index
4215:Scopus
4195:AMiner
3978:Patent
3968:Thesis
3875:Papers
3792:
3765:
3738:
3711:
3648:
3638:
3563:
3535:Nature
3514:
3506:
3437:
3386:
3376:
3331:
3296:
3288:
3216:
3167:
3157:
3100:
3090:
3064:Nature
3041:466433
3039:
3004:
2994:
2953:
2871:20 May
2843:
2765:
2672:
2633:
2623:
2570:
2521:
2377:
2254:
2236:
2199:26 May
2173:25 May
2132:
2058:
1982:
1972:
1913:
1866:
1856:
1727:
1719:
1666:
1656:
1507:SCIgen
1454:-index
1223:-index
1198:-index
1062:-index
1007:-index
954:-index
913:-index
853:-index
842:-index
797:-index
766:means
743:Scopus
676:Google
557:-index
475:-index
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