Matthew Peterson

71 total papers · 1.4k total citations
27 papers, 852 citations indexed

About

Matthew Peterson is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Matthew Peterson has authored 27 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 13 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Matthew Peterson's work include Face Recognition and Perception (17 papers), Visual Attention and Saliency Detection (8 papers) and Face recognition and analysis (7 papers). Matthew Peterson is often cited by papers focused on Face Recognition and Perception (17 papers), Visual Attention and Saliency Detection (8 papers) and Face recognition and analysis (7 papers). Matthew Peterson collaborates with scholars based in United States, United Kingdom and Israel. Matthew Peterson's co-authors include Miguel P. Eckstein, Zhongwei Zhang, Wen Zhang, Binh T. Pham, Barbara Beyer, Wayne N. Frankel, Nancy Kanwisher, Jing Lin, Jason A. Droll and Hong Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Matthew Peterson

22 papers receiving 827 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Peterson 662 241 197 92 80 27 852
Patrick T. Goodbourn 464 0.7× 82 0.3× 179 0.9× 53 0.6× 93 1.2× 36 701
Isabelle Boutet 506 0.8× 160 0.7× 185 0.9× 95 1.0× 60 0.8× 32 700
Gary Bargary 429 0.6× 74 0.3× 319 1.6× 55 0.6× 69 0.9× 22 755
M. Fabre‐Thorpe 704 1.1× 146 0.6× 97 0.5× 22 0.2× 36 0.5× 32 808
Stefano Baldassi 679 1.0× 103 0.4× 105 0.5× 15 0.2× 35 0.4× 32 787
Colin J. Palmer 664 1.0× 61 0.3× 136 0.7× 37 0.4× 225 2.8× 35 1.0k
Charles A. Collin 697 1.1× 246 1.0× 266 1.4× 30 0.3× 24 0.3× 65 1.0k
Pia Rämä 718 1.1× 94 0.4× 166 0.8× 11 0.1× 29 0.4× 36 914
Lawrie S. McKay 780 1.2× 30 0.1× 142 0.7× 90 1.0× 61 0.8× 12 904
Carlos M. Coelho 347 0.5× 34 0.1× 217 1.1× 46 0.5× 59 0.7× 42 932

Countries citing papers authored by Matthew Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Peterson

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