G. Guy
Impact in
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- Computer Graphics and Visualization Techniques
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- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Image and Object Detection Techniques
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
Papers in
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- Advanced Vision and Imaging 4
- Image and Object Detection Techniques 2
- Advanced Image Processing Techniques 2
- Image Retrieval and Classification Techniques 2
- Image and Video Quality Assessment 1
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- Computer Graphics and Visualization Techniques 4
- Co-authors
- Gérard Medioni (4 shared papers)I. Dinstein (3 shared papers)Joseph Tzelgov (2 shared papers)Avishai Henik (2 shared papers)Gad M. Landau (1 shared paper)
- Journals
- Pattern Recognition (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Signal Processing (1 paper)International Journal of Computer Vision (1 paper)University of Southern California Digital Library (1 paper)
- Partner nations
- United StatesIsraelRussia
In The Last Decade
G. Guy
9 papers receiving 391 citations
Peers
Comparison fields: 5 of 51
- Computer Graphics and Computer-Aided Design 65
- Computer Vision and Pattern Recognition 320
- Computational Mathematics 3
- Media Technology 42
- Biophysics 25
Countries citing papers authored by G. Guy
This map shows the geographic impact of G. Guy'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 G. Guy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Guy more than expected).
Fields of papers citing papers by G. Guy
This network shows the impact of papers produced by G. Guy. 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 G. Guy. The network helps show where G. Guy may publish in the future.
Co-authors
The 5 scholars most cited alongside G. Guy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 209 | |
| 2 | 1997 | 123 | |
| 3 | 1989 | 20 | |
| 4 | 2002 | 20 | |
| 5 | 2003 | 17 | |
| 6 | 1991 | 11 | |
| 7 | 2003 | 7 | |
| 8 | 2002 | 5 | |
| 9 | 2015 | 4 |
About G. Guy
G. Guy is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 9 papers that have together received 416 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (2 papers), Image and Object Detection Techniques (2 papers), Advanced Image Processing Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Image and Video Quality Assessment (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (65 citations), Computer Vision and Pattern Recognition (320 citations), Computational Mathematics (3 citations), Media Technology (42 citations) and Biophysics (25 citations). G. Guy has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Gérard Medioni, I. Dinstein, Joseph Tzelgov, Avishai Henik and Gad M. Landau. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Signal Processing, International Journal of Computer Vision and University of Southern California Digital Library.
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.