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Soil science and the h index

Author

Listed:
  • Budiman Minasny

    (The University of Sydney)

  • Alfred E. Hartemink

    (ISRIC — World Soil Information)

  • Alex McBratney

    (The University of Sydney)

Abstract

Soil science is a relatively young and specialised field of science. This note discusses the use of the h index as a scientific output measure in soil science. We explore the governing factors of h index in soil science: the number of soil scientists, the number of papers published, the average number of citations, and the age of the scientist. We found the average relationship between h index and scientific age for soil science: h = 0.7 t. The h index for soil science is smaller than other major science disciplines but norms for h need to be established

Suggested Citation

  • Budiman Minasny & Alfred E. Hartemink & Alex McBratney, 2007. "Soil science and the h index," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 257-264, December.
    • Handle: RePEc:spr:scient:v:73:y:2007:i:3:d:10.1007_s11192-007-1811-z
    DOI: 10.1007/s11192-007-1811-z
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    References listed on IDEAS

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    1. Philip Ball, 2005. "Index aims for fair ranking of scientists," Nature, Nature, vol. 436(7053), pages 900-900, August.
    2. Michael G. Banks, 2006. "An extension of the Hirsch index: Indexing scientific topics and compounds," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 161-168, October.
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    Cited by:

    1. McCarty, Christopher & Jawitz, James W., 2013. "Attitudes about publishing and normal science advancement," Journal of Informetrics, Elsevier, vol. 7(4), pages 850-858.
    2. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "Cross-field evaluation of publications of research institutes using their contributions to the fields’ MVPs determined by h-index," Journal of Informetrics, Elsevier, vol. 7(2), pages 455-468.
    3. Tomislav Hengl & Budiman Minasny & Michael Gould, 2009. "A geostatistical analysis of geostatistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 491-514, August.
    4. Chao Lu & Ying Ding & Chengzhi Zhang, 2017. "Understanding the impact change of a highly cited article: a content-based citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 927-945, August.
    5. Claus-Christian Carbon, 2011. "The Carbon_h-Factor: Predicting Individuals' Research Impact at Early Stages of Their Career," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-7, December.

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