Eylon Yogev
Impact in
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Machine Learning and Algorithms
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- Complexity and Algorithms in Graphs
Papers in
-
- Cryptography and Data Security 11
- Cryptographic Implementations and Security 5
- Machine Learning and Algorithms 4
- Stochastic Gradient Optimization Techniques 3
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- Complexity and Algorithms in Graphs 15
- Advanced Graph Theory Research 5
- Co-authors
- Moni Naor (9 shared papers)Ilan Komargodski (6 shared papers)David P. Woodruff (3 shared papers)Merav Parter (4 shared papers)Alon Rosen (2 shared papers)Tal Moran (2 shared papers)Eyal Ronen (1 shared paper)Rafael Pass (2 shared papers)
- Journals
- SIAM Journal on Computing (3 papers)Journal of the ACM (3 papers)Journal of Cryptology (2 papers)Algorithmica (1 paper)ACM SIGMOD Record (1 paper)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Eylon Yogev
22 papers receiving 128 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 102
- Computational Theory and Mathematics 47
- Management Science and Operations Research 18
- Computer Networks and Communications 31
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Eylon Yogev
This map shows the geographic impact of Eylon Yogev'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 Eylon Yogev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eylon Yogev more than expected).
Fields of papers citing papers by Eylon Yogev
This network shows the impact of papers produced by Eylon Yogev. 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 Eylon Yogev. The network helps show where Eylon Yogev may publish in the future.
Co-authors
The 16 scholars most cited alongside Eylon Yogev, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 20 | |
| 2 | 2019 | 14 | |
| 3 | 2014 | 14 | |
| 4 | 2023 | 12 | |
| 5 | 2020 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2017 | 9 | |
| 9 | 2015 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2023 | 1 |
About Eylon Yogev
Eylon Yogev is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 23 papers that have together received 139 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Cryptography and Data Security (11 papers), Cryptographic Implementations and Security (5 papers), Advanced Graph Theory Research (5 papers), Machine Learning and Algorithms (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Optimization and Search Problems (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Artificial Intelligence (102 citations), Computational Theory and Mathematics (47 citations), Management Science and Operations Research (18 citations), Computer Networks and Communications (31 citations) and Computer Vision and Pattern Recognition (26 citations). Eylon Yogev has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Moni Naor, Ilan Komargodski, David P. Woodruff, Merav Parter, Alon Rosen, Tal Moran, Eyal Ronen, Rafael Pass, Andreas Hülsing and Shay Moran. Their work appears in journals such as SIAM Journal on Computing, Journal of the ACM, Journal of Cryptology, Algorithmica and ACM SIGMOD Record.
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.