Ben Nassi
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Hand Gesture Recognition Systems
Papers in
-
- Video Surveillance and Tracking Methods 5
- Chaos-based Image/Signal Encryption 2
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- Adversarial Robustness in Machine Learning 3
- Cryptographic Implementations and Security 2
- Co-authors
- Yuval Elovici (18 shared papers)Asaf Shabtai (2 shared papers)Adi Shamir (3 shared papers)Ron Bitton (1 shared paper)Ryusuke Masuoka (2 shared papers)Yisroel Mirsky (2 shared papers)Erez Shmueli (1 shared paper)Boris Zadov (4 shared papers)
- Journals
- Sensors (2 papers)Communications of the ACM (1 paper)IEEE Security & Privacy (1 paper)Computer (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- IsraelUnited StatesJapan
In The Last Decade
Ben Nassi
19 papers receiving 238 citations
Peers
Comparison fields: 5 of 44
- Signal Processing 51
- Human-Computer Interaction 21
- Computer Vision and Pattern Recognition 73
- Aerospace Engineering 72
- Artificial Intelligence 93
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 14 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2020 | 52 | |
| 3 | 2018 | 31 | |
| 4 | 2019 | 26 | |
| 5 | 2022 | 12 | |
| 6 | 2020 | 12 | |
| 7 | 2018 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 |
About Ben Nassi
Ben Nassi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Automotive Engineering and Information Systems, having authored 19 papers that have together received 248 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Adversarial Robustness in Machine Learning (3 papers), Chaos-based Image/Signal Encryption (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), UAV Applications and Optimization (2 papers) and Cryptographic Implementations and Security (2 papers). The work is most often cited by research in Signal Processing (51 citations), Human-Computer Interaction (21 citations), Computer Vision and Pattern Recognition (73 citations), Aerospace Engineering (72 citations) and Artificial Intelligence (93 citations). Ben Nassi has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Yuval Elovici, Asaf Shabtai, Adi Shamir, Ron Bitton, Ryusuke Masuoka, Yisroel Mirsky, Erez Shmueli, Boris Zadov, Lior Rokach and Thomas Ristenpart. Their work appears in journals such as Sensors, Communications of the ACM, IEEE Security & Privacy, Computer and IEEE Transactions on Information Forensics and Security.
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.