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Growth dynamics of scholarly and scientific journals

Author

Listed:
  • Michael Mabe

    (Elsevier Science)

  • Mayur Amin

    (Elsevier Science)

Abstract

Results are presented on journal growth dynamics at both the micro and macro levels, showingthat journal development clearly follows researcher behaviour and growth characteristics. At thesubject discipline level, the journal system is highly responsive to research events. Overall journalgrowth characteristics clearly show the predominance of 3.3% compound annual growth under anumber of different socio-political climates. It is proposed that this represents a lower limit tojournal growth rates and that this growth is the outcome of a self-organizing information systemthat reflects on the growth and specialization of knowledge. Potential models are suggested whichcould form attractive theoretical further lines of enquiry.

Suggested Citation

  • Michael Mabe & Mayur Amin, 2001. "Growth dynamics of scholarly and scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 147-162, April.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:1:d:10.1023_a:1010520913124
    DOI: 10.1023/A:1010520913124
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    Citations

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    Cited by:

    1. Jens Peter Andersen & Björn Hammarfelt, 2011. "Price revisited: on the growth of dissertations in eight research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 371-383, August.
    2. Mathias Dewatripont & Victor Ginsburgh & Patrick Legros & Alexis Walckiers, 2007. "Pricing of Scientific Journals and Market Power," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 400-410, 04-05.
    3. Sonia E. Monroy & Hernando Diaz, 2018. "Time series-based bibliometric analysis of the dynamics of scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1139-1159, June.
    4. Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2004. "Reconsidering Price's model of scientific growth: An overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 301-321, November.
    5. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    6. Xin Gu & Karen L. Blackmore, 2016. "Recent trends in academic journal growth," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 693-716, August.
    7. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    8. K. Brad Wray, 2020. "How is a revolutionary scientific paper cited?: the case of Hess’ “History of Ocean Basins”," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1677-1683, August.
    9. Xin Gu & Karen Blackmore, 2017. "Characterisation of academic journals in the digital age," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1333-1350, March.
    10. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    11. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    12. Liu, Meijun & Hu, Xiao & Wang, Yuandi & Shi, Dongbo, 2018. "Survive or perish: Investigating the life cycle of academic journals from 1950 to 2013 using survival analysis methods," Journal of Informetrics, Elsevier, vol. 12(1), pages 344-364.
    13. Xin Gu & Karen Blackmore, 2017. "Quantitative study on Australian academic science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1009-1035, November.
    14. Wang, Yuandi & Hu, Ruifeng & Liu, Meijun, 2017. "The geotemporal demographics of academic journals from 1950 to 2013 according to Ulrich’s database," Journal of Informetrics, Elsevier, vol. 11(3), pages 655-671.
    15. Khaled Belkadhi & Adel Trabelsi, 2020. "Toward a stochastically robust normalized impact factor against fraud and scams," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1871-1884, September.

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