Abstract
How a scholar's achievement and productivity may change by the award of an academic prize is a topic of a long-term interest in research fields such as scientometrics. Numerous studies have explored the impact of receiving a Nobel Prize, a Turing Award, and other international awards on laureates' scholarly performance, but relatively less attention has been paid to the impact of Derek John de Solla Price Medal on its recipients. This paper adopts the methodology of Structural Variation Analysis (SVA) to evaluate how Price medalists' research are impacted, if any, in terms of citation, h-index, and structural variation patterns in underlying collaborative networks. Moreover, we compare the SVA metrics with other indicators such as composite scores and Highly Cited Researchers (HCR). Our results show that: a Price Medal award may not necessarily boost the medalist’s scholarly potential, actual academic impact and collaboration patterns in a degree that is statistically significant. But the SVA method is a better indicator to evaluate the Price Medalist, especially in five-year time windows.
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Notes
Michael J. Moravcsik, the prize-winner of 1985, whose record in WOS was only one paper. We considered his h-index and sum of times cited per years may be low on WOS. So we analyze the dataset except him.
Download from http://cluster.cis.drexel.edu/~cchen/citespace/download/.
Judit Bar-Ilan, who contributed greatly with original research to the development of the Bibliometrics, Scientometrics, Webometrics, Hirsch Index and Altmetrics, passed away in 2019 after an extremely courageous fight for life (Peritz, 2019).
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This research was supported by The National Social Science Fund of China(Grant No. 20BTQ085), By Dr. Yang Zhang and The Soft Science Project of Science and Technology Program of Guangdong Province(CN), 2019B101001024, By Dr. Jianhua Hou
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Appendices
Appendix A: Variable name illustration
Variable name | Annotation |
|---|---|
\(\Delta M\) | Modularity change rate |
AY | The award year of laureates |
PV | The peak value year of \(\Delta M\) |
X | Difference between the award year and peak value year |
Category A | Scholar whose award year is before the peak value year |
Category B | Scholar whose award year is after the peak value year |
Category C | Scholar whose award year is the peak value year |
Type ① | Scholar with monotonically increasing trend of \(\Delta M\) value |
Type ② | Scholar with monotonically decreasing trend of \(\Delta M\) value |
Type ③ | Scholar has no \(\Delta M\) value or the value was zero after medal reception |
Type ④ | Scholar with fluctuating \(\Delta M\) value |
PN | The year of peak number of co-authors |
\(\Delta Y\) | Difference between the award year and the year of peak number of co-authors |
Appendix B: The 100 scholars with the highest \(\Delta M\) value during 2014–2018
Ranking | Name (Award Year) | △M score | Ranking | Name | △M score | Ranking | Name | △M score |
|---|---|---|---|---|---|---|---|---|
1 | Thelwall M (2015) | 113.62 | 35 | Lariviere V | 20.65 | 69 | Tang Li | 16.01 |
2 | Mingers J | 70.17 | 36 | Jafarzadeh H | 20.64 | 70 | Choi S | 15.66 |
3 | Abramo G | 51.03 | 37 | Barnes C | 20.48 | 71 | Echeverry-Correa J D | 15.2 |
4 | Zitt M (2009) | 48.71 | 38 | Lee L | 20.2 | 72 | Wang J | 15.13 |
5 | Serenko A | 48.39 | 39 | Biggiero L | 20.16 | 73 | Hidalgo C | 15.03 |
6 | Guan J | 46.98 | 40 | Akoglu L | 20.07 | 74 | Olijnyk Nicholas V | 14.89 |
7 | Bornmann L (2019) | 44.09 | 40 | Tan Hui Xuan | 20.07 | 75 | Zhu Q | 14.87 |
8 | Ebadi A | 40.94 | 42 | Amjad T | 20.01 | 76 | Gonzalez-Teruel A | 14.82 |
9 | Haustein S | 40.3 | 43 | Lee H | 19.73 | 77 | Billah Syed Masum | 14.73 |
10 | Leydesdorff L (2003) | 39.09 | 44 | Jeong S | 19.65 | 78 | Luis Ortega Jose | 14.59 |
11 | Zupic I | 36.83 | 44 | Park J | 19.65 | 79 | Wang F | 14.58 |
12 | Yan E | 34.19 | 46 | Ke Q | 18.93 | 80 | Landini F | 14.36 |
13 | Huang M | 33.59 | 47 | Behnert C | 18.61 | 81 | Nykl M | 14.24 |
14 | Fairclough R | 33 | 48 | Schraven Daan F J | 18.23 | 82 | Kousha K | 14.09 |
15 | Cimenler O | 30.7 | 49 | Wood J | 18.15 | 82 | Ozcinar H | 14.09 |
16 | Zhu Y | 30.62 | 50 | Liu X | 18.03 | 84 | Shema H | 13.8 |
17 | Gallivan M | 29.99 | 51 | Bertsimas D | 17.68 | 85 | Shoup Jo Ann | 13.76 |
18 | Sriwannawit P | 27.19 | 52 | Costas R | 17.54 | 86 | Cabanac G | 13.75 |
19 | Bordons M | 26.48 | 53 | Mutschke P | 17.49 | 87 | Gorraiz J | 13.74 |
20 | Kim Y | 26.14 | 54 | Zhao D | 17.36 | 88 | Bhattacharya S | 13.67 |
21 | Armando Ronda-pupo Guillermo | 25.96 | 55 | Taba Seyedamir Tavakoli | 17.32 | 89 | Ferligoj A | 13.64 |
22 | Song Min | 25.46 | 56 | Fetscherin M | 17.24 | 90 | Ghiasi G | 13.55 |
23 | Park I | 23.99 | 57 | Zuccala A | 17.07 | 90 | Koseoglu Mehmet Ali | 13.55 |
24 | Rotolo D | 22.98 | 58 | Badar K | 16.83 | 92 | Nakamura H | 13.37 |
25 | Kraker P | 22.46 | 59 | Olmeda-Gomez C | 16.51 | 93 | Harzing A | 13.31 |
25 | Yang G | 22.46 | 60 | Gleich David F | 16.43 | 94 | Hwang Y | 13.04 |
27 | Das Gollapalli Sujatha | 22.4 | 61 | Zhu X | 16.39 | 94 | Yang S | 13.04 |
28 | Mohammadi E | 22.37 | 62 | Kim J | 16.35 | 96 | Bikard M | 13.01 |
29 | Demarest B | 22.18 | 63 | Fiala D | 16.33 | 97 | Yan B | 12.9 |
30 | Wagner Caroline S | 21.99 | 64 | Fang Hui | 16.16 | 98 | Wang M | 12.83 |
31 | Ravi K | 21.85 | 64 | Payumo Jane G | 16.16 | 99 | Martinez-Camara E | 12.82 |
32 | Alvarez R | 21.83 | 66 | Abrizah A | 16.12 | 100 | Liao Chien Hsiang | 12.57 |
33 | Wolfram D | 21.74 | 67 | Hoehle H | 16.1 | 101 | …… | …… |
34 | Moed Henk F (1999) | 20.9 | 68 | Katchanov Yurij L | 16.06 | 102 | …… | …… |
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Hou, J., Zheng, B., Zhang, Y. et al. How do Price medalists’ scholarly impact change before and after their awards?. Scientometrics 126, 5945–5981 (2021). https://doi.org/10.1007/s11192-021-03979-y
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DOI: https://doi.org/10.1007/s11192-021-03979-y