J. Raviv
Impact in
- Computer Networks and Communications top 0.2%
- Error Correcting Code Techniques
- Wireless Communication Networks Research
- Cooperative Communication and Network Coding
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- Advanced Wireless Communication Techniques
- PAPR reduction in OFDM
Papers in
-
- Petri Nets in System Modeling 1
- Cellular Automata and Applications 1
- Co-authors
- F. Jelinek (1 shared paper)John Cocke (1 shared paper)L.R. Bahl (1 shared paper)Martin E. Hellman (1 shared paper)J. A. McLaughlin (1 shared paper)Moshe Ben-Bassat (1 shared paper)Dan Porath (1 shared paper)Dan Atsmon (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (4 papers)International Journal of Engineering Science (1 paper)PubMed (1 paper)Plant Science Letters (1 paper)Information and Control (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
J. Raviv
8 papers receiving 4.2k citations
J. Raviv's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 3.2k
- Electrical and Electronic Engineering 3.6k
- Artificial Intelligence 1.4k
- Signal Processing 377
- Computational Theory and Mathematics 429
Countries citing papers authored by J. Raviv
This map shows the geographic impact of J. Raviv'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 J. Raviv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Raviv more than expected).
Fields of papers citing papers by J. Raviv
This network shows the impact of papers produced by J. Raviv. 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 J. Raviv. The network helps show where J. Raviv may publish in the future.
Co-authors
The 8 scholars most cited alongside J. Raviv, 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 | Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) Hit paper breakdown → | 1974 | 3916 |
| 2 | 1970 | 241 | |
| 3 | 1967 | 98 | |
| 4 | 1968 | 86 | |
| 5 | 1978 | 74 | |
| 6 | 1966 | 7 | |
| 7 | 1980 | 3 | |
| 8 | 1965 | 3 |
About J. Raviv
J. Raviv is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, Control and Systems Engineering and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 4.4k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (2 papers), Petri Nets in System Modeling (1 paper), Cellular Automata and Applications (1 paper), Statistical Mechanics and Entropy (1 paper), Plant and Biological Electrophysiology Studies (1 paper), Advanced Wireless Communication Techniques (1 paper), Neural Networks and Applications (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Computer Networks and Communications (3.2k citations), Electrical and Electronic Engineering (3.6k citations), Artificial Intelligence (1.4k citations), Signal Processing (377 citations) and Computational Theory and Mathematics (429 citations). J. Raviv has collaborated with scholars based in United States and Israel. Frequent co-authors include F. Jelinek, John Cocke, L.R. Bahl, Martin E. Hellman, J. A. McLaughlin, Moshe Ben-Bassat, Dan Porath and Dan Atsmon. Their work appears in journals such as IEEE Transactions on Information Theory, International Journal of Engineering Science, PubMed, Plant Science Letters and Information and Control.
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.