ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions.

ABSTRACT: Academic institutions need to maintain publication lists for thousands of faculty and other scholars. Automated tools are essential to minimize the need for direct feedback from the scholars themselves who are practically unable to commit necessary effort to keep the data accurate. In relying exclusively on clustering techniques, author disambiguation applications fail to satisfy key use cases of academic institutions. Algorithms can perfectly group together a set of publications authored by a common individual, but, for them to be useful to an academic institution, they need to programmatically and recurrently map articles to thousands of scholars of interest en masse. Consistent with a savvy librarian's approach for generating a scholar's list of publications, identity-driven authorship

SUBMITTER: Albert PJ 

PROVIDER: S-EPMC8016248 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature