
Self-citation and its impact on scientific workflow assessment: The review of publications. Part I
Author(s) -
Vladimir Pislyakov
Publication year - 2022
Publication title -
naučnye i tehničeskie biblioteki
Language(s) - English
Resource type - Journals
eISSN - 2686-8601
pISSN - 1027-3689
DOI - 10.33186/1027-3689-2022-2-49-70
Subject(s) - citation , citation impact , computer science , workflow , citation analysis , discipline , data science , impact factor , bibliometrics , management science , sociology , library science , political science , social science , engineering , database , law
The author reviews publications on the problem of self-citation and resulting mispresentations at the stage bibliometric analysis. He introduces the definition of self-citation and its special cases, i. e. author’s, institutional, publisher’s and disciplinary. The formulas for general self-citation metrics, i. e. self-citation and self-citedness coefficients, are provided. The global publications on author’s, institutional, national and journal self-citation are reviewed thoroughly. The current concepts of the role and impact of self-citation on scientific activity assessment are generalized. On the basis of his analytical review, the author argues that the researchers obtain consensus on several aspects, e. g.: а) excessive and absent self-citation are both seen as pathologies; в) self-citation has insignificant impact on large research entities though this influence can be critical when analyzing contributions by individual authors; с) self-citation impact is well-expressed for scientific entities with weak bibliometric indicators, while the top scientists, organizations, journals, etc., get most of external links. The author examines the response of bibliometric indicators and databases to self-citation manipulations to adjust the indicators. Part I of the review is intended to define the basic concepts and terms and to examine the most popular author’s self-citation.