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Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance

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  • Liu, Yu
  • Yang, Yongliang

Abstract

Most current h-type indicators use only a single number to measure a scientist's productivity and impact of his/her published works. Although a single number is simple to calculate, it fails to outline his/her academic performance varying with time. We empirically study the basic h-index sequence for cumulative publications with consideration of the yearly citation performance (for convenience, referred as L-Sequence). L-Sequence consists of a series of L factors. Based on the citations received in the corresponding individual year, every factor along a scientist's career span is calculated by using the h index formula. Thus L-Sequence shows the scientist's dynamic research trajectory and provides insight into his/her scientific performance at different periods. Furthermore, L∝, summing up all factors of L-Sequence, is for the evaluation of the whole research career as alternative to other h-index variants. Importantly, the partial factors of the L-Sequence can be adapted for different evaluation tasks. Moreover, L-Sequence could be used to highlight outstanding scientists in a specific period whose research interests can be used to study the history and trends of a specific discipline.

Suggested Citation

  • Liu, Yu & Yang, Yongliang, 2014. "Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance," Journal of Informetrics, Elsevier, vol. 8(3), pages 478-485.
    • Handle: RePEc:eee:infome:v:8:y:2014:i:3:p:478-485
    DOI: 10.1016/j.joi.2014.03.002
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    References listed on IDEAS

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    Cited by:

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    2. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.

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