James J. Dunne

14 total papers · 1.5k total citations
8 papers, 814 citations indexed

About

James J. Dunne is a scholar working on Biomedical Engineering, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, James J. Dunne has authored 8 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 3 papers in Surgery and 3 papers in Orthopedics and Sports Medicine. Recurrent topics in James J. Dunne's work include Muscle activation and electromyography studies (4 papers), Sports injuries and prevention (3 papers) and Shoulder Injury and Treatment (3 papers). James J. Dunne is often cited by papers focused on Muscle activation and electromyography studies (4 papers), Sports injuries and prevention (3 papers) and Shoulder Injury and Treatment (3 papers). James J. Dunne collaborates with scholars based in United States, Australia and Netherlands. James J. Dunne's co-authors include Scott L. Delp, Ajay Seth, Carmichael Ong, Ayman Habib, Jennifer L. Hicks, Samuel R. Hamner, Thomas K. Uchida, Matthew Millard, Michael Sherman and Joy P. Ku and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and PLoS Computational Biology.

In The Last Decade

James J. Dunne

8 papers receiving 803 citations

Hit Papers

OpenSim: Simulating muscu... 2018 2026 2020 2023 2018 200 400 600

Author Peers

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

Author Last Decade Papers Cites
James J. Dunne 582 177 143 139 116 8 814
Carmichael Ong 715 1.2× 154 0.9× 116 0.8× 179 1.3× 137 1.2× 12 966
Saunders N. Whittlesey 513 0.9× 356 2.0× 149 1.0× 204 1.5× 126 1.1× 9 890
Elena Ceseracciu 659 1.1× 191 1.1× 201 1.4× 89 0.6× 118 1.0× 16 923
Jeremy O’Connor 381 0.7× 134 0.8× 155 1.1× 154 1.1× 66 0.6× 15 819
Shrinidhi Kowshika Lakshmikanth 478 0.8× 120 0.7× 83 0.6× 97 0.7× 105 0.9× 12 888
W. Scott Selbie 402 0.7× 305 1.7× 138 1.0× 205 1.5× 67 0.6× 22 933
Pete B. Shull 545 0.9× 137 0.8× 262 1.8× 155 1.1× 165 1.4× 19 992
Enrica Papi 311 0.5× 173 1.0× 142 1.0× 185 1.3× 61 0.5× 25 828
Charles E. Clauser 352 0.6× 153 0.9× 82 0.6× 114 0.8× 97 0.8× 9 838
R.J. Jaeger 606 1.0× 197 1.1× 186 1.3× 242 1.7× 212 1.8× 27 1000

Countries citing papers authored by James J. Dunne

Since Specialization
Citations

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

Fields of papers citing papers by James J. Dunne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Dunne. 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 James J. Dunne. The network helps show where James J. Dunne may publish in the future.

Co-authorship network of co-authors of James J. Dunne

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Dunne. A scholar is included among the top collaborators of James J. Dunne 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 James J. Dunne. James J. Dunne 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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