Sigal Ar
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
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- Robotic Path Planning Algorithms
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
Papers in
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- Evolutionary Algorithms and Applications 2
- Metaheuristic Optimization Algorithms Research 2
- Algorithms and Data Compression 2
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- Numerical Methods and Algorithms 2
- Co-authors
- Ayellet Tal (4 shared papers)Bernard Chazelle (1 shared paper)Michael Elad (1 shared paper)Richard J. Lipton (1 shared paper)Ronitt Rubinfeld (1 shared paper)Madhu Sudan (1 shared paper)Jin‐Yi Cai (1 shared paper)
- Journals
- Computer Graphics Forum (2 papers)SIAM Journal on Computing (1 paper)Computational Geometry (1 paper)Symposium on Discrete Algorithms (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Sigal Ar
6 papers receiving 102 citations
Peers
Comparison fields: 5 of 27
- Computer Graphics and Computer-Aided Design 36
- Computer Vision and Pattern Recognition 58
- Computational Mechanics 36
- Signal Processing 14
- Discrete Mathematics and Combinatorics 4
Countries citing papers authored by Sigal Ar
This map shows the geographic impact of Sigal Ar'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 Sigal Ar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sigal Ar more than expected).
Fields of papers citing papers by Sigal Ar
This network shows the impact of papers produced by Sigal Ar. 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 Sigal Ar. The network helps show where Sigal Ar may publish in the future.
Co-authors
The 7 scholars most cited alongside Sigal Ar, 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 | 1998 | 36 | |
| 2 | 2000 | 31 | |
| 3 | Directed Search In A 3D Objects Database Using SVM | 2000 | 29 |
| 4 | 2002 | 15 | |
| 5 | 1994 | 6 | |
| 6 | 2002 | 3 |
About Sigal Ar
Sigal Ar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 6 papers that have together received 120 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Algorithms and Data Compression (2 papers), Numerical Methods and Algorithms (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Data Management and Algorithms (1 paper), Image Processing and 3D Reconstruction (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (36 citations), Computer Vision and Pattern Recognition (58 citations), Computational Mechanics (36 citations), Signal Processing (14 citations) and Discrete Mathematics and Combinatorics (4 citations). Sigal Ar has collaborated with scholars based in United States and Israel. Frequent co-authors include Ayellet Tal, Bernard Chazelle, Michael Elad, Richard J. Lipton, Ronitt Rubinfeld, Madhu Sudan and Jin‐Yi Cai. Their work appears in journals such as Computer Graphics Forum, SIAM Journal on Computing, Computational Geometry and Symposium on Discrete Algorithms.
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.