Separating the articles of authors with the same name

TL;DR

This paper presents a clustering method based on probabilistic distances to distinguish articles of authors sharing the same name, aiding citation analysis without requiring complete publication lists.

Contribution

It introduces a novel distance-based clustering approach to separate authors with identical names, improving accuracy in author disambiguation tasks.

Findings

Effective clustering of articles by author identity

Simplifies citation analysis processes

Useful for authors with common names

Abstract

I describe a method to separate the articles of different authors with the same name. It is based on a distance between any two publications, defined in terms of the probability that they would have as many coincidences if they were drawn at random from all published documents. Articles with a given author name are then clustered according to their distance, so that all articles in a cluster belong very likely to the same author. The method has proven very useful in generating groups of papers that are then selected manually. This simplifies considerably citation analysis when the author publication lists are not available.