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Bibliometric-based Study of Scientist Academic Genealogy

Ruihua Lv
Ruihua Lv
 e 
Huan Chang
Huan Chang
   | 14 apr 2021
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Article Category: Research Paper
Pubblicato online: 14 apr 2021
Pagine: 146 - 163
Ricevuto: 13 dic 2020
Accettato: 16 mar 2021
DOI: https://doi.org/10.2478/jdis-2021-0021
Parole chiave
© 2021 Ruihua Lv et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Purpose

This study aims to construct new models and methods of academic genealogy research based on bibliometrics.

Design/methodology/approach

This study proposes an academic influence scale for academic genealogy, and introduces the w index for bibliometric scaling of the academic genealogy. We then construct a two-dimensional (academic fecundity versus academic influence) evaluation system of academic genealogy, and validate it on the academic genealogy of a famous Chinese geologist.

Findings

The two-dimensional evaluation system can characterize the development and evolution of the academic genealogy, compare the academic influences of different genealogies, and evaluate individuals’ contributions to the inheritance and evolution of the academic genealogy. Individual academic influence is mainly indicated by the w index (the improved h index), which overcomes the situation of repeated measurements and distortion of results in the academic genealogy.

Practical implications

The two-dimensional evaluation system for the academic genealogy can better demonstrate the reproduction and the academic inheritance ability of a genealogy.

Research limitations

It is not comprehensive to only use the w index to characterize academic influence. It should also include scholars’ academic awards and academic part-timers and so on. In future work, we will integrate scholars’ academic awards and academic part-timers into the w index for a comprehensive reflection of scholars’ individual academic influences.

Originality/value

This study constructs new models and methods of academic genealogy research based on bibliometrics, which improves the quantitative assessment of academic genealogy and enriches its research and evaluation methods.
eISSN:
2543-683X
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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