Coherent measures of the impact of co-authors in peer review journals and in proceedings publications
Marcel Ausloos

TL;DR
This paper introduces empirical measures to quantify the impact of co-authors across different publication types, revealing linear relationships and power laws that suggest co-authorship is a more positive indicator of research impact than traditional metrics like the Hirsch index.
Contribution
It uncovers new empirical relationships between co-author core values and citation measures across publication types, supporting co-authorship as a valuable impact metric.
Findings
Linear relationship between coauthor core values in journals and proceedings
Power law relationship between coauthor core and number of coauthors
Co-authorship measures outperform Hirsch index in indicating research impact
Abstract
This paper focuses on the coauthor effect in different types of publications, usually not equally respected in measuring research impact. {\it A priori} unexpected relationships are found between the total coauthor core value, , of a leading investigator (LI), and the related values for their publications in either peer review journals () or in proceedings (). A surprisingly linear relationship is found: . Furthermore, another relationship is found concerning the measure of the total number of citations, , i.e. the surface of the citation size-rank histogram up to . Another linear relationship exists : . These empirical findings coefficients (0.4 and 1.36) are supported by considerations based on an empirical power law found between the number of joint publications of an author…
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