Matthew A. Chan

15 total papers · 1.2k total citations
4 papers, 659 citations indexed

About

Matthew A. Chan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Instrumentation. According to data from OpenAlex, Matthew A. Chan has authored 4 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Instrumentation. Recurrent topics in Matthew A. Chan's work include Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Optical Sensing Technologies (1 paper). Matthew A. Chan is often cited by papers focused on Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Optical Sensing Technologies (1 paper). Matthew A. Chan collaborates with scholars based in United States. Matthew A. Chan's co-authors include Gordon Wetzstein, Shalini De Mello, Koki Nagano, Eric R. Chan, Tero Karras, Boxiao Pan, Orazio Gallo, Leonidas Guibas, Sameh Khamis and Connor Z. Lin and has published in prestigious journals such as Optics Express and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Matthew A. Chan

2 papers receiving 647 citations

Hit Papers

Efficient Geometry-aware ... 2022 2026 2023 2024 2022 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Matthew A. Chan 539 325 296 53 36 4 659
Connor Z. Lin 571 1.1× 338 1.0× 319 1.1× 49 0.9× 36 1.0× 4 708
Amir Hertz 445 0.8× 263 0.8× 307 1.0× 46 0.9× 21 0.6× 12 722
Andreas Lehrmann 489 0.9× 275 0.8× 229 0.8× 78 1.5× 26 0.7× 8 558
Michael Niemeyer 480 0.9× 316 1.0× 280 0.9× 48 0.9× 66 1.8× 14 606
Ryota Natsume 675 1.3× 314 1.0× 546 1.8× 67 1.3× 36 1.0× 3 784
Craig Kolb 414 0.8× 483 1.5× 219 0.7× 26 0.5× 19 0.5× 7 701
Anpei Chen 603 1.1× 360 1.1× 280 0.9× 22 0.4× 60 1.7× 14 682
Cheng Sun 430 0.8× 313 1.0× 213 0.7× 19 0.4× 77 2.1× 8 582
Jesse D. Hall 447 0.8× 493 1.5× 259 0.9× 17 0.3× 15 0.4× 7 602
Zachi Karni 489 0.9× 522 1.6× 453 1.5× 50 0.9× 19 0.5× 12 782

Countries citing papers authored by Matthew A. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Chan

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