Ben Nassi
Impact in
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Security and Verification in Computing
- Cryptographic Implementations and Security
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Adversarial Robustness in Machine Learning 8
- Cryptographic Implementations and Security 6
- Security and Verification in Computing 4
- Internet Traffic Analysis and Secure E-voting 3
-
- Autonomous Vehicle Technology and Safety 4
- Co-authors
- Yuval Elovici (20 shared papers)Adi Shamir (5 shared papers)Ryusuke Masuoka (2 shared papers)Ron Bitton (2 shared papers)Asaf Shabtai (2 shared papers)Yisroel Mirsky (2 shared papers)Erez Shmueli (1 shared paper)Boris Zadov (5 shared papers)
- Journals
- Sensors (2 papers)Computer (1 paper)Communications of the ACM (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)IEEE Security & Privacy (1 paper)
- Partner nations
- IsraelUnited StatesJapan
In The Last Decade
Ben Nassi
22 papers receiving 315 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 158
- Automotive Engineering 33
- Aerospace Engineering 89
- Signal Processing 23
- Computer Networks and Communications 56
Countries citing papers authored by Ben Nassi
This map shows the geographic impact of Ben Nassi'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 Ben Nassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Nassi more than expected).
Fields of papers citing papers by Ben Nassi
This network shows the impact of papers produced by Ben Nassi. 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 Ben Nassi. The network helps show where Ben Nassi may publish in the future.
Co-authors
The 24 scholars most cited alongside Ben Nassi, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2020 | 65 | |
| 3 | 2018 | 35 | |
| 4 | 2019 | 30 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Ben Nassi
Ben Nassi is a scholar working on Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing, having authored 24 papers that have together received 322 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Cryptographic Implementations and Security (6 papers), Digital Media Forensic Detection (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Security and Verification in Computing (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), UAV Applications and Optimization (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (158 citations), Automotive Engineering (33 citations), Aerospace Engineering (89 citations), Signal Processing (23 citations) and Computer Networks and Communications (56 citations). Ben Nassi has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Yuval Elovici, Adi Shamir, Ryusuke Masuoka, Ron Bitton, Asaf Shabtai, Yisroel Mirsky, Erez Shmueli, Boris Zadov, Eran Tromer and Lior Rokach. Their work appears in journals such as Sensors, Computer, Communications of the ACM, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and IEEE Security & Privacy.
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.