Eyal Kushilevitz
- Artificial Intelligence top 0.1%
- Computational Theory and Mathematics top 0.1%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Rafail OstrovskyBenny ChorYuval IshaiOded GoldreichMadhu SudanYishay MansourNoam NisanTal Malkin
- Topics
- Cryptography and Data Security (76 papers)Complexity and Algorithms in Graphs (69 papers)Privacy-Preserving Technologies in Data (31 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryJournal of the ACM
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Eyal Kushilevitz
124 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 4.6k
- Computational Theory and Mathematics 1.9k
- Computer Networks and Communications 1.4k
- Information Systems 743
- Computer Vision and Pattern Recognition 492
Countries citing papers authored by Eyal Kushilevitz
This map shows the geographic impact of Eyal Kushilevitz'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 Eyal Kushilevitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyal Kushilevitz more than expected).
Fields of papers citing papers by Eyal Kushilevitz
This network shows the impact of papers produced by Eyal Kushilevitz. 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 Eyal Kushilevitz. The network helps show where Eyal Kushilevitz may publish in the future.
Co-authorship network of co-authors of Eyal Kushilevitz
This figure shows the co-authorship network connecting the top 25 collaborators of Eyal Kushilevitz. A scholar is included among the top collaborators of Eyal Kushilevitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eyal Kushilevitz. Eyal Kushilevitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 116 | |
| 2 | 17 | |
| 3 | Cryptography by Cellular Automata or How Fast Can Complexity Emerge in Nature | 9 |
| 4 | 2 | |
| 5 | 47 | |
| 6 | 63 | |
| 7 | 29 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 124 | |
| 11 | 18 | |
| 12 | 14 | |
| 13 | 24 | |
| 14 | From Differential Cryptanalysis to Ciphertext-Only Attacks | 1 |
| 15 | 150 | |
| 16 | 15 | |
| 17 | 8 | |
| 18 | Learning Decision Trees Using the Fourier Sprectrum (Extended Abstract) | 1 |
| 19 | 74 | |
| 20 | Secret sharing over infinite domains (extended abstract) | 3 |
About Eyal Kushilevitz
Eyal Kushilevitz is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 126 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cryptography and Data Security (76 papers), Complexity and Algorithms in Graphs (69 papers) and Privacy-Preserving Technologies in Data (31 papers). The work is most often cited by research in Artificial Intelligence (4.6k citations), Computational Theory and Mathematics (1.9k citations) and Computer Networks and Communications (1.4k citations). Eyal Kushilevitz has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Rafail Ostrovsky, Benny Chor, Yuval Ishai, Oded Goldreich, Madhu Sudan, Yishay Mansour, Noam Nisan, Tal Malkin, Yuval Rabani and Yael Gertner. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Journal of the ACM.
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.