Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance |
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| Institution: | 1. School of Software, Dalian University of Technology, Dalian 116024, PR China;2. Center for Molecular Medicine, School of Life Science and Biotechnology, Dalian University of Technology, Dalian 116024, PR China;1. CNRS (LAMSADE, UMR 7243) & Université Paris Dauphine, Place du Maréchal de Lattre de Tassigny, F-75775 Paris Cedex 16, France;2. Ghent University, Department of Data Analysis, H. Dunantlaan, 1, B-9000 Gent, Belgium;1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, PR China;2. Institute for Education and Information Sciences, IBW, University of Antwerp (UA), Antwerp B-2000, Belgium;3. KU Leuven, Department of Mathematics, Leuven B-3000, Belgium;4. National Science Library, Chinese Academy of Sciences, Beijing 100190, PR China;5. Kent Business School, University of Kent, Canterbury CT2 7PE, UK;1. WISE Lab, Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian 116085, China;2. School of Public Administration and Law, Dalian University of Technology, Dalian 116085, China;3. DUT – Drexel Joint Institute for the Study of Knowledge Visualization and Scientific Discovery, Dalian University of Technology, Dalian 116085, China |
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| 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. |
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| Keywords: | Bibliometrics Citations Research evaluation |
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