Michael Hanchard

70 total papers · 1.7k total citations
29 papers, 551 citations indexed

About

Michael Hanchard is a scholar working on Sociology and Political Science, Cultural Studies and Political Science and International Relations. According to data from OpenAlex, Michael Hanchard has authored 29 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 4 papers in Cultural Studies and 3 papers in Political Science and International Relations. Recurrent topics in Michael Hanchard's work include Race, History, and American Society (6 papers), Political theory and Gramsci (3 papers) and Brazilian cultural history and politics (2 papers). Michael Hanchard is often cited by papers focused on Race, History, and American Society (6 papers), Political theory and Gramsci (3 papers) and Brazilian cultural history and politics (2 papers). Michael Hanchard collaborates with scholars based in United States, Canada and United Kingdom. Michael Hanchard's co-authors include John Burdick, Erin Aeran Chung, Kim D. Butler, Kenneth Maxwell, William I. Robinson, Robert Gooding‐Williams, David Theo Goldberg and Juliet Hooker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Foreign Affairs and The American Historical Review.

In The Last Decade

Michael Hanchard

28 papers receiving 393 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Hanchard 388 122 121 82 51 29 551
Denise Ferreira da Silva 301 0.8× 134 1.1× 102 0.8× 70 0.9× 56 1.1× 16 592
Mark Rifkin 287 0.7× 126 1.0× 80 0.7× 130 1.6× 68 1.3× 39 603
Michel Feher 275 0.7× 44 0.4× 102 0.8× 65 0.8× 36 0.7× 25 585
Adolfo Gilly 251 0.6× 48 0.4× 118 1.0× 76 0.9× 37 0.7× 26 476
W. Fitzhugh Brundage 392 1.0× 88 0.7× 87 0.7× 55 0.7× 47 0.9× 43 566
Frances E. Mascia‐Lees 231 0.6× 86 0.7× 46 0.4× 117 1.4× 30 0.6× 21 505
Albert Memmi 298 0.8× 46 0.4× 104 0.9× 105 1.3× 82 1.6× 46 585
Pauline Turner Strong 231 0.6× 60 0.5× 83 0.7× 141 1.7× 34 0.7× 28 618
Bill Schwarz 306 0.8× 69 0.6× 117 1.0× 93 1.1× 104 2.0× 47 537
Nikhil Pal Singh 394 1.0× 94 0.8× 117 1.0× 39 0.5× 39 0.8× 16 509

Countries citing papers authored by Michael Hanchard

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hanchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Hanchard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Hanchard. The network helps show where Michael Hanchard may publish in the future.

Co-authorship network of co-authors of Michael Hanchard

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hanchard. A scholar is included among the top collaborators of Michael Hanchard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Hanchard. Michael Hanchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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