Article summary
A global ranking of political science departments is presented using publication and citation measures drawn from a multi-continent dataset.
A global ranking of political science departments is presented using publication and citation measures drawn from a multi-continent dataset.
Political science as a field increasingly demands transparency in data and methods so readers and reviewers can follow arguments and replicate findings. Yet citation practices have lagged: citations often refer to whole works rather than the specific pages or sections that support a claim.
The authority of U.S. Supreme Court majority opinions rests largely on their use as precedents. Existing studies of citation patterns face two key limitations: dyadic citations are usually aggregated to the case level, and citations are treated as if they arise independently. This paper presents a method that addresses both issues and models citations at the dyadic, network level.