Michigan Law Review

2.7k papers and 34.2k indexed citations

About

The 2.7k papers published in Michigan Law Review in the last decades have received a total of 34.2k indexed citations. Papers published in Michigan Law Review usually cover Political Science and International Relations (979 papers), Law (820 papers) and Economics and Econometrics (525 papers) specifically the topics of Legal Systems and Judicial Processes (483 papers), Legal and Constitutional Studies (286 papers) and American Constitutional Law and Politics (263 papers). The most active scholars publishing in Michigan Law Review are Michael Lipsky, Ian R. Macneil, Sissela Bok, Peter P. Lejins, Charles R. Beitz, Benjamin H. Barton, Malcolm M Feeley, John C. Coffee, Susan Moller Okin and Richard A. Posner.

In The Last Decade

Michigan Law Review

1.5k papers receiving 14.5k citations

Countries where authors publish in Michigan Law Review

Since Specialization
Citations

This map shows the geographic impact of research published in Michigan Law Review. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Michigan Law Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michigan Law Review more than expected).

Fields of papers published in Michigan Law Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Michigan Law Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Michigan Law Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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