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Author-level metrics

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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,
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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".
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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.
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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".
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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.
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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
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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"?".
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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
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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".
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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.
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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
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Gągolewski, M.; Grzegorzewski, P. (2009). "A geometric approach to the construction of scientific impact indices".
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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".
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Gálvez RH (March 2017). "Assessing author self-citation as a mechanism of relevant knowledge diffusion".
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Yu, Min-Chun (February 2016). "ResearchGate: An effective altmetric indicator for active researchers?".
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Yu, Min-Chun (February 2016). "ResearchGate: An effective altmetric indicator for active researchers?".
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Proceedings of the 19th ACM international conference on Information and knowledge management – CIKM '10
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Kaur, Jasleen; Radicchi, Filippo; Menczer, Filippo (2013). "Universality of scholarly impact metrics".
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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).
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Penner, Orion; Pan, Raj K.; Petersen, Alexander M.; Kaski, Kimmo; Fortunato, Santo (2013).
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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".
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into the calculation. The RG Score was found to be negatively correlated with network
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is the function that corresponds to the number of citations for each publication, the
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is the number of years since the first published paper of the scientist; also called
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upper, to give a more accurate representation of the distribution shape. The three
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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 ...
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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
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Journal of the American Society for Information Science and Technology
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Journal of the American Society for Information Science and Technology
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Journal of the American Society for Information Science and Technology
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Laboratoire d'Informatique de Grenoble RR-LIG-2008 (technical report)
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university rankings at the institutional level, but only weakly with
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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,
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upper percentages are perfectionists, whereas scientists with high
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Ding, Ying; Rousseau, Ronald; Wolfram, Dietmar (6 November 2014).
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is the mean number of citations given by papers published in year
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Journal of the Association for Information Science and Technology
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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
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Committee, United States Congress Senate Appropriations (1961).
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Christoph Bartneck & Servaas Kokkelmans; Kokkelmans (2011).
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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
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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).
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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
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Metrics of the bibliometric impact of individual authors
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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
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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: 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