On Oct. 4, 2023, Stanford University and Elsevier Data Repository released a publicly available database of top-cited scientists, the World’s Top 2% Scientists for 1960-2022 and the World’s Top 2% Scientists for 2022.
Totally, our three professors are ranked in the World’s Top 2% Scientists for 1960-2022, including two from the School of Materials Science and Engineering and one from the School of Mathematics and Statistics; and nine professors are ranked in the World’s Top 2% Scientists for 2022, including five from the School of Materials Science and Engineering, one from the School of Mathematics and Statistics, one from the School of River & Ocean Engineering, one from School of Economics and Management and one from the School of Mechatronics and Vehicle Engineering
List |
School |
Name |
The World’s Top 2% Scientists for 1960-2022 |
School of Materials Science and Engineering |
Jiang Jing |
Lunhong Ai |
||
School of Mathematics and Statistics |
Song Qiankun |
|
The World’s Top 2% Scientists for 2022 |
School of Materials Science and Engineering |
Jiang Jing |
Lunhong Ai |
||
Li Zhi |
||
Yuan Xiaoya |
||
Wang Xinzhi |
||
School of Mathematics and Statistics |
Song Qiankun |
|
School of River & Ocean Engineering |
Liu Zhen |
|
School of Economics and Management |
Wang Yong |
|
School of Mechatronics and Vehicle Engineering |
Chen Zhaowei |
As in known to all, the World’s Top 2% Scientists is the fruit of a program by and between Elsevier and the team of Prof. John P. A. Ioannidis from Stanford University and is released on the website of Elsevier’s Mendeley Data. The selection is based on the top near 7 million scientists based on the analysis of citation data system of the Scopus database and by such composite score (c-score) as citations (with and without self-citations), H-index, and co-authorship adjusted HM-index. The separate data are shown for career-long and, separately, for single recent year impact. The scientists are classified into 22 scientific fields and 176 sub-fields. The World’s Top 2% Scientists provides an index to measure scientists’ long-term scientific performance and can reflect scientists' impacts more objectively and truly.