G. Yuval
Impact in
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- Chaos-based Image/Signal Encryption
Papers in
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- Numerical Methods and Algorithms 2
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- Logic, programming, and type systems 2
- Co-authors
- Vijay V. Vazirani (2 shared papers)Kamal Jain (2 shared papers)Raymond W. Yeung (1 shared paper)Michael Ian Shamos (1 shared paper)Josh Benaloh (1 shared paper)John R. Douceur (1 shared paper)William J. Bolosky (1 shared paper)Atul Adya (1 shared paper)
- Journals
- Software Practice and Experience (3 papers)IEEE Transactions on Information Theory (1 paper)Physics Letters A (1 paper)BIT Numerical Mathematics (1 paper)Information Processing Letters (5 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
G. Yuval
18 papers receiving 288 citations
Peers
Comparison fields: 5 of 39
- Computer Graphics and Computer-Aided Design 25
- Computer Vision and Pattern Recognition 111
- Computer Networks and Communications 122
- Computational Theory and Mathematics 86
- Signal Processing 50
Countries citing papers authored by G. Yuval
This map shows the geographic impact of G. Yuval'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. Yuval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Yuval more than expected).
Fields of papers citing papers by G. Yuval
This network shows the impact of papers produced by G. Yuval. 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. Yuval. The network helps show where G. Yuval may publish in the future.
Co-authors
The 8 scholars most cited alongside G. Yuval, 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 | 1979 | 90 | |
| 2 | 1976 | 55 | |
| 3 | 2006 | 33 | |
| 4 | 1976 | 32 | |
| 5 | 1997 | 28 | |
| 6 | 1975 | 22 | |
| 7 | 2005 | 19 | |
| 8 | 1976 | 10 | |
| 9 | 1975 | 10 | |
| 10 | 1977 | 4 | |
| 11 | 1977 | 3 | |
| 12 | 1976 | 2 | |
| 13 | 1975 | 2 | |
| 14 | 2003 | 2 | |
| 15 | 1978 | 2 | |
| 16 | 1977 | 2 | |
| 17 | 1975 | 1 | |
| 18 | 1976 | 1 | |
| 19 | 1976 | 0 | |
| 20 | 2018 | 0 |
About G. Yuval
G. Yuval is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 20 papers that have together received 318 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (3 papers), Cooperative Communication and Network Coding (2 papers), Numerical Methods and Algorithms (2 papers), Logic, programming, and type systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Interconnection Networks and Systems (2 papers), DNA and Biological Computing (2 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (25 citations), Computer Vision and Pattern Recognition (111 citations), Computer Networks and Communications (122 citations), Computational Theory and Mathematics (86 citations) and Signal Processing (50 citations). G. Yuval has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Vijay V. Vazirani, Kamal Jain, Raymond W. Yeung, Michael Ian Shamos, Josh Benaloh, John R. Douceur, William J. Bolosky and Atul Adya. Their work appears in journals such as Software Practice and Experience, IEEE Transactions on Information Theory, Physics Letters A, BIT Numerical Mathematics and Information Processing Letters.
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.