Matt McKeon

9 total papers · 842 total citations
8 papers, 550 citations indexed

About

Matt McKeon is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Matt McKeon has authored 8 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Sociology and Political Science and 2 papers in Artificial Intelligence. Recurrent topics in Matt McKeon's work include Data Visualization and Analytics (5 papers), Video Analysis and Summarization (3 papers) and Multimedia Communication and Technology (3 papers). Matt McKeon is often cited by papers focused on Data Visualization and Analytics (5 papers), Video Analysis and Summarization (3 papers) and Multimedia Communication and Technology (3 papers). Matt McKeon collaborates with scholars based in United States, Switzerland and Denmark. Matt McKeon's co-authors include Martin Wattenberg, Fernanda Viégas, Frank van Ham, Joan Morris DiMicco, Stephen Voida, Derek Reilly, Roy Want, David Godden, Keith Edwards and Ali Mazalek and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Pervasive Computing and Informal Logic.

In The Last Decade

Matt McKeon

8 papers receiving 513 citations

Hit Papers

ManyEyes: a Site for Visu... 2007 2026 2013 2019 2007 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Matt McKeon 412 151 138 70 69 8 550
Heidi Lam 367 0.9× 98 0.6× 121 0.9× 46 0.7× 103 1.5× 17 502
Jon Meyer 249 0.6× 67 0.4× 101 0.7× 39 0.6× 75 1.1× 9 506
Roland Fernandez 341 0.8× 69 0.5× 125 0.9× 29 0.4× 33 0.5× 10 495
Souneil Park 189 0.5× 152 1.0× 125 0.9× 47 0.7× 73 1.1× 26 593
Bahador Saket 330 0.8× 90 0.6× 150 1.1× 34 0.5× 29 0.4× 23 497
Hyunmo Kang 234 0.6× 134 0.9× 62 0.4× 105 1.5× 44 0.6× 30 518
Sharon J. Laskowski 211 0.5× 70 0.5× 113 0.8× 54 0.8× 131 1.9× 30 460
Christopher Williamson 255 0.6× 54 0.4× 91 0.7× 46 0.7× 73 1.1× 14 610
H. Lam 470 1.1× 105 0.7× 155 1.1× 51 0.7× 47 0.7× 5 537
Charles D. Stolper 388 0.9× 62 0.4× 141 1.0× 31 0.4× 34 0.5× 11 488

Countries citing papers authored by Matt McKeon

Since Specialization
Citations

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

Fields of papers citing papers by Matt McKeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt McKeon. 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 Matt McKeon. The network helps show where Matt McKeon may publish in the future.

Co-authorship network of co-authors of Matt McKeon

This figure shows the co-authorship network connecting the top 25 collaborators of Matt McKeon. A scholar is included among the top collaborators of Matt McKeon 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 Matt McKeon. Matt McKeon 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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