Comparing the impact of subfields in scientific journals

被引：0
作者：
Xiomara S. Q. Chacon
Thiago C. Silva
Diego R. Amancio
机构：
[1] University of São Paulo,Department of Computer Science, Institute of Mathematics and Computer Science
[2] Universidade Católica de Brasília,Department of Computing and Mathematics, Faculty of Philosophy, Sciences, and Literatures in Ribeirão Preto
[3] University of São Paulo,undefined
来源：
Scientometrics | 2020年 / 125卷
关键词：
Citation success; Impact factor; Journal impact; Journal metrics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The impact factor has been extensively used in the last years to assess journals visibility and prestige. While it is useful to compare journals, the specificities of subfields visibility in journals are overlooked whenever visibility is measured only at the journal level. In this paper, we analyze the subfields visibility in a subset of over 450,000 Physics papers. We show that the visibility of subfields is not regular in the considered dataset. In particular years, the variability in subfields impact factor in a journal reached 75% of the average subfields impact factor. We also found that differences of subfields visibility in the same journal can be even higher than differences of visibility between different journals. Our results show that subfields impact is an important factor accounting for journals visibility.
引用
收藏
页码：625 / 639
页数：14
相关论文
共 105 条
  • [1] Abramo G(2010)Citations versus journal impact factor as proxy of quality: Could the latter ever be preferable? Scientometrics 84 821-833
  • [2] D’Angelo C(2013)Impact factor distortions Science 340 787-842
  • [3] Di Costa F(2012)Complex networks analysis of language complexity Europhysics Letters 100 58002-434
  • [4] Alberts B(2012)Using complex networks concepts to assess approaches for citations in scientific papers Scientometrics 91 827-323
  • [5] Amancio DR(2012)On the use of topological features and hierarchical characterization for disambiguating names in collaborative networks Europhysics Letters 99 48002-663
  • [6] Aluisio SM(2012)Three-feature model to reproduce the topology of citation networks and the effects from authors’ visibility on their h-index Journal of Informetrics 6 427-206
  • [7] Oliveira ON(2015)Concentric network symmetry grasps authors’ styles in word adjacency networks Europhysics Letters 110 68001-1385
  • [8] Costa LDF(2017)Standing on the shoulders of giants Journal of Informetrics 11 307-429
  • [9] Amancio DR(2020)Impact factor volatility of a single paper: A comprehensive analysis Quantitative Science Studies 1 639-418
  • [10] Nunes MGV(2016)Using complex networks for text classification: Discriminating informative and imaginative documents Europhysics Letters 113 28007-931
12345678910