An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields

被引:0
|
作者
Pablo Dorta-González
María Isabel Dorta-González
Rafael Suárez-Vega
机构
[1] Universidad de Las Palmas de Gran Canaria,TiDES Research Institute
[2] Universidad de La Laguna,Departamento de Ingeniería Informática
来源
Scientometrics | 2015年 / 102卷
关键词
Researcher assessment; Author metric; Bibliometric indicator; Citation analysis; Source normalization; Citation potential;
D O I
暂无
中图分类号
学科分类号
摘要
The citation potential is a measure of the probability of being cited. Obviously, it is different among fields of science, social science, and humanities because of systematic differences in publication and citation behaviour across disciplines. In the past, the citation potential was studied at journal level considering the average number of references in established groups of journals (for example, the crown indicator is based on the journal subject categories in the Web of Science database). In this paper, some characterizations of the author’s scientific research through three different research dimensions are proposed: production (journal papers), impact (journal citations), and reference (bibliographical sources). Then, we propose different measures of the citation potential for authors based on a proportion of these dimensions. An empirical application, in a set of 120 randomly selected highly productive authors from the CSIC Research Centre (Spain) in four subject areas, shows that the ratio between production and impact dimensions is a normalized measure of the citation potential at the level of individual authors. Moreover, this ratio reduces the between-group variance in relation to the within-group variance in a higher proportion than the rest of the indicators analysed. Furthermore, it is consistent with the type of journal impact indicator used. A possible application of this result is in the selection and promotion process within interdisciplinary institutions, since it allows comparisons of authors based on their particular scientific research.
引用
收藏
页码:1467 / 1496
页数:29
相关论文
共 50 条
  • [31] Quantification and Analysis of Scientific Language Variation Across Research Fields
    Zhou, Pei
    Chen, Muhao
    Chang, Kai-Wei
    Zaniolo, Carlo
    2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, : 199 - 203
  • [32] A distributional approach to multinationality measures of international scientific collaboration
    Glänzel, W
    De Lange, C
    8TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS AND INFORMETRICS, VOLS 1 AND 2 - ISSI-2001, PROCEEDINGS, 2001, : 179 - 189
  • [33] A distributional approach to multinationality measures of international scientific collaboration
    Glänzel, W
    de Lange, C
    SCIENTOMETRICS, 2002, 54 (01) : 75 - 89
  • [34] A distributional approach to multinationality measures of international scientific collaboration
    Wolfgang Glänzel
    Cornelius de Lange
    Scientometrics, 2002, 54 : 75 - 89
  • [35] A Collaborative Approach Toward Scientific Paper Recommendation Using Citation Context
    Sakib, Nazmus
    Ahmad, Rodina Binti
    Haruna, Khalid
    IEEE ACCESS, 2020, 8 : 51246 - 51255
  • [36] A citation-based approach to automatic topical indexing of scientific literature
    Mahdi, Abdulhussain E.
    Joorabchi, Arash
    JOURNAL OF INFORMATION SCIENCE, 2010, 36 (06) : 798 - 811
  • [37] Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?
    Klavans, Richard
    Boyack, Kevin W.
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2017, 68 (04) : 984 - 998
  • [38] HIERARCHICAL BIBLIOMETRY - A NEW OBJECTIVE-MEASURE OF INDIVIDUAL SCIENTIFIC PERFORMANCE TO REPLACE PUBLICATION COUNTS AND TO COMPLEMENT CITATION MEASURES
    TRENCHARD, PM
    JOURNAL OF INFORMATION SCIENCE, 1992, 18 (01) : 69 - 75
  • [39] A Scientific Theme Emergence Defection Approach based on Citation Graph Analysis
    Qian, Tieyun
    Sheu, Phillip C-Y
    Li, Shijun
    Wang, Lina
    20TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL 2, PROCEEDINGS, 2008, : 269 - +
  • [40] Detecting emerging research fronts based on topological measures in citation networks of scientific publications
    Shibata, Naoki
    Kajikawa, Yuya
    Takeda, Yoshiyuki
    Matsushima, Katsumori
    TECHNOVATION, 2008, 28 (11) : 758 - 775