P.C. Teo

1.2k citations
21 papers · 855 · h-index 13

Impact in

Papers in

P.C. Teo

21 papers receiving 785 citations

Peers

P.C. Teo
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 552
  • Media Technology 158
  • Cognitive Neuroscience 266
  • Computer Graphics and Computer-Aided Design 47
  • Signal Processing 51
Replace Christina A. Burbeck with:
Christina A. Burbeck United States
A. J. Ahumada United States
Hancheng Zhu China
Cosmin Grigorescu Netherlands
Chang-Yeong Kim South Korea
Michael P. Eckert United States
Martin Řeřábek Switzerland
Gavin Brelstaff Italy
Helge Seetzen Canada
Edoardo Provenzi France
P.C. Teo relative to Christina A. Burbeck United States Christina A. Burbeck's profile →
Citations per field
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Christina A. Burbeck · 1×
Citations per year

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-authors

The 7 scholars most cited alongside P.C. Teo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P.C. Teo Line = papers co-authored together P.C. Teo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002302
2 1997247
3 199478
4 200741
5 200234
6 199820
7
Efficient Linear Re-rendering for Interactive Lighting Design
199720
8 199917
9 200215
10 199914
11 199813
12 199612
13 199812
14 20058
15 20027
16
Theory and applications of steerable functions
19987
17
A Computational Group-Theoretic Approach to Steerable Functions
19964
18 20101
19 20021
20 20021

About P.C. Teo

P.C. Teo is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computational Mechanics, Signal Processing and Computational Theory and Mathematics, having authored 21 papers that have together received 855 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Medical Image Segmentation Techniques (6 papers), Advanced Numerical Analysis Techniques (4 papers), Advanced Image Processing Techniques (3 papers), Digital Filter Design and Implementation (3 papers), Image and Signal Denoising Methods (3 papers), Visual perception and processing mechanisms (3 papers) and Color Science and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (552 citations), Media Technology (158 citations), Cognitive Neuroscience (266 citations), Computer Graphics and Computer-Aided Design (47 citations) and Signal Processing (51 citations). P.C. Teo has collaborated with scholars based in United States, Israel and Jordan. Frequent co-authors include David J. Heeger, Guillermo Sapiro, Brian A. Wandell, Yacov Hel-Or, Munidasa Winslow, Michael Elad and Eero P. Simoncelli. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Pattern Recognition Letters, IEEE Transactions on Medical Imaging, IEEE Transactions on Pattern Analysis and Machine Intelligence and Annals of the Academy of Medicine Singapore.

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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