Biblioranking fundamental physics |
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| Institution: | 1. Dipartimento di Fisica dell’Università di Pisa, Italy;2. CERN, Theory Division, Geneva, Switzerland;3. INFN, sezione di Genova, Italy;1. Dipartimento di Fisica dell’Università di Pisa, Italy;2. CERN, Theory Division, Geneva, Switzerland;3. INFN, sezione di Genova, Italy;1. School of Economics & Management, Nanjing University of Science and Technology, Nanjing, 210093, China;2. Department of Computer Science and Technology, Nanjing University, Nanjing, 210093, China;3. Facultair Onderzoekscentrum ECOOM, KU Leuven, Naamsestraat 61, Leuven B-3000, Belgium;4. University of Antwerp, Faculty of Social Sciences, Middelheimlaan 1, B-2020 Antwerp, Belgium;5. School of Information Management, Nanjing University, Nanjing, 210093, China;6. College of Information and Technology, Nanjing Agricultural University, Nanjing, 210095, China;1. Center for Analysis, Decisions, and Society (CADS) – Human Technopole, Milano, Italy;2. Università di Pavia, Pavia, Italy;3. Politecnico di Milano, Department of Management, Economics and Industrial Engineering, Italy;1. Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics 20 Myasnitskaya Ulitsa, Moscow code101000, Russian Federation;2. American Association for the Advancement of Science 1200 New York Ave NW, code20005, Washington, DC, USA;1. University of Hasselt, Belgium;2. University of Antwerp, Faculty of Social Sciences, B-2020 Antwerpen, Belgium;3. Centre for R&D Monitoring (ECOOM) and Dept. MSI, KU Leuven, Belgium |
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| Abstract: | Counting of number of papers, of citations and the h-index are the simplest bibliometric indices of the impact of research. We discuss some improvements. First, we replace citations with individual citations, fractionally shared among co-authors, to take into account that different papers and different fields have largely different average number of co-authors and of references. Next, we improve on citation counting applying the PageRank algorithm to citations among papers. Being time-ordered, this reduces to a weighted counting of citation descendants that we call PaperRank. We compute a related AuthorRank applying the PageRank algorithm to citations among authors. These metrics quantify the impact of an author or paper taking into account the impact of those authors that cite it. Finally, we show how self- and circular-citations can be eliminated by defining a closed market of Citation-coins. We apply these metrics to the InSpire database that covers fundamental physics, presenting results for papers, authors, journals, institutes, towns, countries for all-time and in recent time periods. |
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| Keywords: | Fractional counting Individual citations PaperRank AuthorRank Citation-coins |
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