On the behavior of journal impact factor rank-order distribution |
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| Institution: | 1. Centro de Investigaciones Interdisciplinarias en Ciencias y Humanidades, Universidad Nacional Autónoma de México, México 04510, D.F., Mexico;2. Instituto de Física, Universidad Nacional Autónoma de México, México 04510, D.F., Mexico;3. Facultad de Ciencias, Universidad Nacional Autónoma de México, México 04510, D.F., Mexico;1. DIEF, Università di Firenze, Viale Morgagni 40-44, 50134 Firenze, Italy;2. DIIES, Università Mediterranea di Reggio Calabria, Via Graziella, 89122 Reggio Calabria, Italy;3. Lehrstuhl für Mathematik mit Schwerpunkt Digitale Bildverarbeitung and FORWISS, Universität Passau, Innstr. 43, 94032 Passau, Germany;1. ICT, Universidade Federal de Alfenas, Campus Avançado de Poços de Caldas Cidade Universitária, BR 267 Km 533 Rodovia José Aurélio Vilela, 11.999, Brazil;2. Lab. of Fluid Dynamic, IMPA, Dona Castorina 110, Jardim Botânico, Rio de Janeiro, Brazil;3. Centro de Matemática (CMUP), Faculdade de Economia (FEP), Universidade do Porto (UP), Rua Dr. Roberto Frias 4200-464, Porto, Portugal;4. TU Delft, Civil Engineering and Geosciences, Stevinweg 1, 2628 CE Delft, The Netherlands |
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| Abstract: | An empirical law for the rank-order behavior of journal impact factors is found. Using an extensive data base on impact factors including journals on education, agrosciences, geosciences, mathematics, chemistry, medicine, engineering, physics, biosciences and environmental, computer and material sciences, we have found extremely good fittings outperforming other rank-order models. Based in our results, we propose a two-exponent Lotkaian Informetrics. Some extensions to other areas of knowledge are discussed. |
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