TY - JOUR
T1 - Modeling a successful citation trajectory structure for scholar's impact evaluation in Israeli academia
AU - Weinberger, Maor
AU - Zhitomirsky-Geffet, Maayan
N1 - Publisher Copyright: © 2023 The Authors
PY - 2023/5
Y1 - 2023/5
N2 - One of the main concerns of researchers and institutions is how to assess the future performance of scholars and identify their potential to become successful scientists. In this study, we model scholarly success in terms of the probability of a scholar belonging to a group of highly impactful scholars as determined by their citation trajectory structures. To this end, we developed a new set of impact measures based on a scholar's citation trajectory structure (rather than on absolute citation or h-index rates), that show a stable trend and scale for highly impactful scholars, independent of their field of study, seniority and citation index. These measures were then incorporated as influence factors into the logistic regression models and used as features for probabilistic classifiers based on these models to identify the successful scholars in the heterogeneous corpus of 400 of most and least cited professors from two Israeli universities. From the practical point of view, the study may yield useful insights and serve as an aid in making promotion decisions by institutions, as well as a self-assessment tool for researchers who strive to increase their academic influence and become leaders in their field.
AB - One of the main concerns of researchers and institutions is how to assess the future performance of scholars and identify their potential to become successful scientists. In this study, we model scholarly success in terms of the probability of a scholar belonging to a group of highly impactful scholars as determined by their citation trajectory structures. To this end, we developed a new set of impact measures based on a scholar's citation trajectory structure (rather than on absolute citation or h-index rates), that show a stable trend and scale for highly impactful scholars, independent of their field of study, seniority and citation index. These measures were then incorporated as influence factors into the logistic regression models and used as features for probabilistic classifiers based on these models to identify the successful scholars in the heterogeneous corpus of 400 of most and least cited professors from two Israeli universities. From the practical point of view, the study may yield useful insights and serve as an aid in making promotion decisions by institutions, as well as a self-assessment tool for researchers who strive to increase their academic influence and become leaders in their field.
KW - Citation trajectory structure
KW - Google Scholar
KW - Logistic regression classifier
KW - Scholarly impact
KW - Universal impact measures
KW - Web of Science
UR - http://www.scopus.com/inward/record.url?scp=85153409019&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.heliyon.2023.e15673
DO - https://doi.org/10.1016/j.heliyon.2023.e15673
M3 - مقالة
C2 - 37159699
SN - 2405-8440
VL - 9
JO - Heliyon
JF - Heliyon
IS - 5
M1 - e15673
ER -