Ariel Nof
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
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- Complexity and Algorithms in Graphs
Papers in
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- Complexity and Algorithms in Graphs 7
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- Cryptography and Data Security 13
- Privacy-Preserving Technologies in Data 5
- Cryptographic Implementations and Security 2
- Security and Verification in Computing 1
- Co-authors
- Yehuda LindellToshinori ArakiJun FurukawaKazuma OharaBenny PinkasShay GueronNiv GilboaYuval Ishai
- Journals
- Journal of Cryptology (3 papers)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- IsraelJapanUnited States
In The Last Decade
Ariel Nof
13 papers receiving 430 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 408
- Computational Theory and Mathematics 118
- Information Systems 129
- Computer Networks and Communications 63
- Signal Processing 27
Countries citing papers authored by Ariel Nof
This map shows the geographic impact of Ariel Nof'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 Ariel Nof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Nof more than expected).
Fields of papers citing papers by Ariel Nof
This network shows the impact of papers produced by Ariel Nof. 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 Ariel Nof. The network helps show where Ariel Nof may publish in the future.
Co-authors
The 20 scholars most cited alongside Ariel Nof, 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 | 2023 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 86 | |
| 8 | 2017 | 50 | |
| 9 | 2017 | 8 | |
| 10 | 2017 | 25 | |
| 11 | 2016 | 194 | |
| 12 | 2016 | 3 | |
| 13 | 2015 | 25 |
About Ariel Nof
Ariel Nof is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Hardware and Architecture and Electrical and Electronic Engineering, having authored 13 papers that have together received 448 indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Complexity and Algorithms in Graphs (7 papers), Privacy-Preserving Technologies in Data (5 papers), Blockchain Technology Applications and Security (4 papers), Cloud Data Security Solutions (3 papers), Cryptographic Implementations and Security (2 papers), Cryptography and Residue Arithmetic (2 papers) and Security and Verification in Computing (1 paper). The work is most often cited by research in Artificial Intelligence (408 citations), Computational Theory and Mathematics (118 citations), Information Systems (129 citations), Computer Networks and Communications (63 citations) and Signal Processing (27 citations). Ariel Nof has collaborated with scholars based in Israel, Japan and United States. Frequent co-authors include Yehuda Lindell, Toshinori Araki, Jun Furukawa, Kazuma Ohara, Benny Pinkas, Shay Gueron, Niv Gilboa, Yuval Ishai, Elette Boyle and Daniel Escudero. Their work appears in journals such as Journal of Cryptology, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and Zenodo (CERN European Organization for Nuclear Research).
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.