Matthew Brehmer

51 total papers · 2.1k total citations
27 papers, 1.3k citations indexed

About

Matthew Brehmer is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Matthew Brehmer has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Matthew Brehmer's work include Data Visualization and Analytics (20 papers), Multimedia Communication and Technology (10 papers) and Video Analysis and Summarization (9 papers). Matthew Brehmer is often cited by papers focused on Data Visualization and Analytics (20 papers), Multimedia Communication and Technology (10 papers) and Video Analysis and Summarization (9 papers). Matthew Brehmer collaborates with scholars based in United States, Canada and United Kingdom. Matthew Brehmer's co-authors include Tamara Munzner, Bongshin Lee, Donghao Ren, Nathalie Henry Riche, Eun Kyoung Choe, Benjamin Bach, Stephen Ingram, Petra Isenberg, Tobias Höllerer and Jonathan Stray and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Alzheimer Disease & Associated Disorders and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Matthew Brehmer

26 papers receiving 1.2k citations

Hit Papers

A Multi-Level Typology of... 2013 2026 2017 2021 2013 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
Matthew Brehmer 1.0k 330 265 165 127 27 1.3k
Younah Kang 882 0.8× 352 1.1× 215 0.8× 175 1.1× 111 0.9× 31 1.2k
Bum Chul Kwon 926 0.9× 630 1.9× 204 0.8× 117 0.7× 154 1.2× 61 1.7k
Fanny Chevalier 846 0.8× 316 1.0× 149 0.6× 180 1.1× 172 1.4× 64 1.2k
Anastasia Bezerianos 883 0.8× 262 0.8× 156 0.6× 311 1.9× 146 1.1× 52 1.2k
Marian Dörk 693 0.7× 295 0.9× 179 0.7× 161 1.0× 88 0.7× 55 1.1k
Enrico Bertini 974 0.9× 716 2.2× 194 0.7× 136 0.8× 149 1.2× 66 1.7k
G. Robertson 462 0.4× 208 0.6× 248 0.9× 213 1.3× 92 0.7× 28 1.1k
Kristin Cook 955 0.9× 383 1.2× 128 0.5× 106 0.6× 233 1.8× 18 1.4k
Wesley Willett 737 0.7× 203 0.6× 178 0.7× 437 2.6× 66 0.5× 49 1.3k
Wenwen Dou 794 0.8× 471 1.4× 159 0.6× 81 0.5× 118 0.9× 70 1.4k

Countries citing papers authored by Matthew Brehmer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Brehmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Brehmer

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