Patrick C. Teo

1.2k citations
20 papers · 899 · h-index 12

Impact in

Papers in

    • Image Retrieval and Classification Techniques 5
    • Advanced Vision and Imaging 4
    • Image and Video Quality Assessment 3
    • Medical Image Segmentation Techniques 3
    • Advanced Image and Video Retrieval Techniques 2
    • Mathematical Analysis and Transform Methods 8

Patrick C. Teo

20 papers receiving 828 citations

Peers

Patrick C. Teo
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 575
  • Computer Graphics and Computer-Aided Design 46
  • Cognitive Neuroscience 203
  • Computational Mathematics 4
  • Signal Processing 27
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Citations per field
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Citations per year

Countries citing papers authored by Patrick C. Teo

Since Specialization
Citations

This map shows the geographic impact of Patrick 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 Patrick 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 Patrick C. Teo more than expected).

Fields of papers citing papers by Patrick C. Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Patrick 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 Patrick C. Teo Line = papers co-authored together Patrick C. Teo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002326
2 1997273
3 199489
4 200235
5 199825
6 199920
7 199917
8
Efficient Linear Re-rendering for Interactive Lighting Design
199716
9 199816
10 200216
11 199815
12 199613
13 200510
14
Theory and applications of steerable functions
19989
15 20028
16
A Computational Group-Theoretic Approach to Steerable Functions
19964
17 20023
18 20102
19 20021
20 20021

About Patrick C. Teo

Patrick C. Teo is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Signal Processing, having authored 20 papers that have together received 899 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (8 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Vision and Imaging (4 papers), Neural Networks and Applications (3 papers), Image and Video Quality Assessment (3 papers), Medical Image Segmentation Techniques (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (575 citations), Computer Graphics and Computer-Aided Design (46 citations), Cognitive Neuroscience (203 citations), Computational Mathematics (4 citations) and Signal Processing (27 citations). Patrick C. Teo has collaborated with scholars based in United States and Israel. Frequent co-authors include David J. Heeger, Guillermo Sapiro, Brian A. Wandell, Yacov Hel-Or, Michael Elad and Eero P. Simoncelli. Their work appears in journals such as Journal of Mathematical Imaging and Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging, Pattern Recognition Letters and IEEE International Conference on Computer Vision (ICCV).

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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