Measuring Influence in Science: Standing on the Shoulders of Which Giants?
Year: 2017
Type: preprint
Abstract: I study the measurement of the influence of scientists based on bibliographic data. I propose a new measure that accounts for indirect influence and allows to compare scientists across different fields of science. By contrast, common measures of influence that "count citations", such as the h-index, are unable to satisfy either of these two properties. I use the axiomatic method in two opposite ways: to highlight the two limitations of citation- counting schemes and their independence, and to carefully justify the assumptions made in the construction of the proposed measure.
Author: Antonin Macé
Language: English
Subfield: Library and Information Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2767628122
