G. Seroussi
Impact in
-
- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Chaos-based Image/Signal Encryption
- Signal Processing top 0.5%
- Video Coding and Compression Technologies
Papers in
-
- Algorithms and Data Compression 40
- Coding theory and cryptography 23
- Machine Learning and Algorithms 10
-
- Cellular Automata and Applications 20
- Co-authors
- M.J. Weinberger (43 shared papers)Guillermo Sapiro (5 shared papers)Ian F. Blake (3 shared papers)Nigel P. Smart (2 shared papers)Erik Ordentlich (15 shared papers)Ron M. Roth (12 shared papers)Nader H. Bshouty (2 shared papers)Sergio Verdú (5 shared papers)
- Journals
- IEEE Transactions on Information Theory (29 papers)Theoretical Computer Science (3 papers)IEEE Transactions on Image Processing (3 papers)Nanotechnology (2 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesUruguayIsrael
In The Last Decade
G. Seroussi
90 papers receiving 3.9k citations
G. Seroussi's Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 2.3k
- Signal Processing 841
- Artificial Intelligence 2.2k
- Information Systems 887
- Computational Theory and Mathematics 447
Countries citing papers authored by G. Seroussi
This map shows the geographic impact of G. Seroussi'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. Seroussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Seroussi more than expected).
Fields of papers citing papers by G. Seroussi
This network shows the impact of papers produced by G. Seroussi. 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. Seroussi. The network helps show where G. Seroussi may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Seroussi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS Hit paper breakdown → | 2000 | 1126 |
| 2 | Elliptic Curves in Cryptography Hit paper breakdown → | 1999 | 980 |
| 3 | 2002 | 337 | |
| 4 | 2005 | 151 | |
| 5 | 1988 | 126 | |
| 6 | 2005 | 91 | |
| 7 | Inequalities for the L1 Deviation of the Empirical Distribution | 2003 | 74 |
| 8 | 2000 | 73 | |
| 9 | 2002 | 71 | |
| 10 | 2000 | 70 | |
| 11 | Advances in Elliptic Curve Cryptography (London Mathematical Society Lecture Note Series) | 2005 | 70 |
| 12 | 1985 | 67 | |
| 13 | 1986 | 62 | |
| 14 | 2002 | 58 | |
| 15 | 2000 | 56 | |
| 16 | 1980 | 53 | |
| 17 | 2005 | 51 | |
| 18 | 2010 | 47 | |
| 19 | 2004 | 43 | |
| 20 | 2008 | 39 |
About G. Seroussi
G. Seroussi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 100 papers that have together received 4.4k indexed citations. Recurring topics across this work include Algorithms and Data Compression (40 papers), Coding theory and cryptography (23 papers), Cellular Automata and Applications (20 papers), Advanced Data Compression Techniques (19 papers), Error Correcting Code Techniques (17 papers), Image and Signal Denoising Methods (11 papers), Machine Learning and Algorithms (10 papers) and DNA and Biological Computing (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Signal Processing (841 citations), Artificial Intelligence (2.2k citations), Information Systems (887 citations) and Computational Theory and Mathematics (447 citations). G. Seroussi has collaborated with scholars based in United States, Uruguay and Israel. Frequent co-authors include M.J. Weinberger, Guillermo Sapiro, Ian F. Blake, Nigel P. Smart, Erik Ordentlich, Ron M. Roth, Nader H. Bshouty, Sergio Verdú, Tsachy Weissman and A. Lempel. Their work appears in journals such as IEEE Transactions on Information Theory, Theoretical Computer Science, IEEE Transactions on Image Processing, Nanotechnology and Bioinformatics.
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.