American Communist History

219 papers and 235 indexed citations i.

About

The 219 papers published in American Communist History in the last decades have received a total of 235 indexed citations. Papers published in American Communist History usually cover Sociology and Political Science (128 papers), Political Science and International Relations (55 papers) and History (44 papers) specifically the topics of Race, History, and American Society (58 papers), Communism, Protests, Social Movements (40 papers) and American Political and Social Dynamics (20 papers). The most active scholars publishing in American Communist History are Victor G. Devinatz, Bryan D. Palmer, John McIlroy, Alan Campbell, Yale Richmond, Eric Arnesen, Robert W. Cherny, Robert V. Wells, John Earl Haynes and Robert Korstad.

In The Last Decade

Fields of papers published in American Communist History

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in American Communist History. 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 American Communist History.

Countries where authors publish in American Communist History

Since Specialization
Citations

This map shows the geographic impact of research published in American Communist History. 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 American Communist History with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites American Communist History more than expected).

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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