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Where demographics meets scientometrics: towards a dynamic career analysis

Author

Listed:
  • Lin Zhang

    (K.U. Leuven
    North China University of Water Conservancy and Electric Power)

  • Wolfgang Glänzel

    (K.U. Leuven
    Hungarian Academy of Sciences)

Abstract

In an earlier exercise some demographic methods were reformulated for application in a scientometric context. Age-pyramids based on annual publication output and citation impact was supplemented by the change of the mean age of the publications in the h-core at any time. Although the method was introduced to shed some demographic–scientometric light on the career of individual researchers, the second component, i.e., the age dynamics of the h-core can however be applied to higher levels of aggregation as well. However, the found paradigmatic shapes and patterns do not only characterise individual careers and positions, but are also typical of life cycles and subject-specific peculiarities. In the present study, the proposed approach is used to visualise the careers of scientists active in different fields of the sciences and social sciences and notably the second component, the h-core dynamics, is extended to the analysis of scientific journals from the same fields. In addition to the dynamics of productivity and citation impact, the evolution of co-authorship patterns of the same scientists is studied to capture another facet of individual academic careers.

Suggested Citation

  • Lin Zhang & Wolfgang Glänzel, 2012. "Where demographics meets scientometrics: towards a dynamic career analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 617-630, May.
  • Handle: RePEc:spr:scient:v:91:y:2012:i:2:d:10.1007_s11192-011-0590-8
    DOI: 10.1007/s11192-011-0590-8
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    References listed on IDEAS

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    1. Ali Gazni & Fereshteh Didegah, 2011. "Investigating different types of research collaboration and citation impact: a case study of Harvard University’s publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 251-265, May.
    2. Reinhold Kliegl & Douglas Bates, 2011. "International collaboration in psychology is on the rise," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 149-158, April.
    3. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    4. Blaise Cronin & Lokman I. Meho, 2007. "Timelines of creativity: A study of intellectual innovators in information science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 1948-1959, November.
    5. Quentin L. Burrell, 2007. "Hirsch index or Hirsch rate? Some thoughts arising from Liang’s data," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 19-28, October.
    6. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
    7. Tibor Braun & Wolfgang Glänzel & András Schubert, 2001. "Publication and cooperation patterns of the authors of neuroscience journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 499-510, July.
    8. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    9. Tibor Braun & Wolfgang Glänzel & András Schubert, 2001. "Publication and cooperation patterns of the authors of neuroscience journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 499-510, January.
    10. Jonathan M. Levitt & Mike Thelwall, 2009. "The most highly cited Library and Information Science articles: Interdisciplinarity, first authors and citation patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 45-67, January.
    11. Pablo Jensen & Jean-Baptiste Rouquier & Yves Croissant, 2009. "Testing bibliometric indicators by their prediction of scientists promotions," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 467-479, March.
    12. Wolfgang Glänzel & Bart Thijs, 2004. "Does co-authorship inflate the share of self-citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 395-404, November.
    13. Alain Molinari & Jean-Francois Molinari, 2008. "Mathematical aspects of a new criterion for ranking scientific institutions based on the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 339-356, May.
    14. Donald deB. Beaver, 2004. "Does collaborative research have greater epistemic authority?," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 399-408, August.
    15. Liming Liang, 2006. "h-index sequence and h-index matrix: Constructions and applications," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 153-159, October.
    16. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
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    Cited by:

    1. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    2. Guillaume Cabanac & Gilles Hubert & Béatrice Milard, 2015. "Academic careers in Computer Science: continuance and transience of lifetime co-authorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 135-150, January.

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