An empirical analysis of the use of alphabetical authorship in scientific publishing
Ludo Waltman

TL;DR
This paper empirically examines the declining trend of alphabetical authorship in scientific publishing across all fields, highlighting its prevalence in specific disciplines and its relation to the number of authors.
Contribution
It provides a comprehensive empirical analysis of alphabetical authorship usage across scientific fields and over time, revealing patterns and declines.
Findings
Use of alphabetical authorship is declining over time.
Less than 4% of publications used alphabetical order in 2011.
Most common in mathematics, economics, and high energy physics.
Abstract
There are different ways in which the authors of a scientific publication can determine the order in which their names are listed. Sometimes author names are simply listed alphabetically. In other cases, authorship order is determined based on the contribution authors have made to a publication. Contribution-based authorship can facilitate proper credit assignment, for instance by giving most credits to the first author. In the case of alphabetical authorship, nothing can be inferred about the relative contribution made by the different authors of a publication. In this paper, we present an empirical analysis of the use of alphabetical authorship in scientific publishing. Our analysis covers all fields of science. We find that the use of alphabetical authorship is declining over time. In 2011, the authors of less than 4% of all publications intentionally chose to list their names…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBiomedical Text Mining and Ontologies · scientometrics and bibliometrics research · Academic integrity and plagiarism
