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Dissecting a Scholar Popularity Ranking into Different Knowledge Areas

  • Gabriel Pacheco
  • Pablo FigueiraEmail author
  • Jussara M. Almeida
  • Marcos A. Gonçalves
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9819)

Abstract

In this paper, we analyze a ranking of the most “popular” scholars working in Brazilian institutions. The ranking was built by first sorting scholars according to their h-index (based on Google scholar) and then by their total citation count. In our study, we correlate the positions of these top scholars with various academic features such as number of publications, years after doctorate, number of supervised students, as well as other popularity metrics. Moreover, we separate scholars by knowledge area so as to assess how each area is represented in the ranking as well as the importance of the academic features on ranking position across different areas. Our analyses help to dissect the ranking into each area, uncovering similarities and differences as to the relative importance of each feature to scholar popularity as well as the correlations between popularity metrics across knowledge areas.

Keywords

Citation analysis Scholar popularity Academic features 

Notes

Acknowledgments

This work was partially funded by projects InWeb (grant MCT/CNPq 573871/2008- 6) and MASWeb (grant FAPEMIG/PRONEX APQ-01400-14), and by the authors’ individual grants from CNPq, CAPES and FAPEMIG.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Gabriel Pacheco
    • 1
  • Pablo Figueira
    • 1
    Email author
  • Jussara M. Almeida
    • 1
  • Marcos A. Gonçalves
    • 1
  1. 1.Computer Science DepartmentUniversidade Federal de Minas GeraisBelo HorizonteBrazil

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