P.C. Teo

24 total papers · 1.2k total citations
21 papers, 849 citations indexed

About

P.C. Teo is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computational Mechanics. According to data from OpenAlex, P.C. Teo has authored 21 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 4 papers in Computational Mechanics. Recurrent topics in P.C. Teo's work include Advanced Vision and Imaging (7 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Numerical Analysis Techniques (4 papers). P.C. Teo is often cited by papers focused on Advanced Vision and Imaging (7 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Numerical Analysis Techniques (4 papers). P.C. Teo collaborates with scholars based in United States, Israel and Singapore. P.C. Teo's co-authors include David J. Heeger, Brian A. Wandell, Guillermo Sapiro, Yacov Hel-Or, Munidasa Winslow, Mythily Subramaniam, Michael Elad and Eero P. Simoncelli and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Pattern Recognition Letters.

In The Last Decade

P.C. Teo

21 papers receiving 778 citations

Author Peers

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

Author Last Decade Papers Cites
P.C. Teo 548 275 157 93 65 21 849
Yuri Ostrovsky 487 0.9× 476 1.7× 43 0.3× 44 0.5× 68 1.0× 18 1.0k
Kate Devlin 418 0.8× 106 0.4× 119 0.8× 165 1.8× 27 0.4× 22 715
Mark Thurston 511 0.9× 55 0.2× 142 0.9× 20 0.2× 47 0.7× 16 742
T. Troscianko 332 0.6× 564 2.1× 91 0.6× 174 1.9× 45 0.7× 37 939
Morgan McGuire 585 1.1× 104 0.4× 162 1.0× 36 0.4× 44 0.7× 45 1.0k
Kelly Rehm 333 0.6× 348 1.3× 28 0.2× 45 0.5× 473 7.3× 33 1.1k
Christina A. Burbeck 313 0.6× 666 2.4× 104 0.7× 181 1.9× 45 0.7× 28 951
Mukund Balasubramanian 283 0.5× 260 0.9× 52 0.3× 47 0.5× 210 3.2× 27 948
Hancheng Zhu 891 1.6× 124 0.5× 386 2.5× 32 0.3× 16 0.2× 56 1.0k
P. Kruizinga 606 1.1× 102 0.4× 219 1.4× 41 0.4× 81 1.2× 17 926

Countries citing papers authored by P.C. Teo

Since Specialization
Citations

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

Fields of papers citing papers by P.C. Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.C. Teo. 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 P.C. Teo. The network helps show where P.C. Teo may publish in the future.

Co-authorship network of co-authors of P.C. Teo

This figure shows the co-authorship network connecting the top 25 collaborators of P.C. Teo. A scholar is included among the top collaborators of P.C. Teo 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 P.C. Teo. P.C. Teo 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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