Ben Nassi
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Video Surveillance and Tracking Methods
- Handwritten Text Recognition Techniques
Papers in
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- Video Surveillance and Tracking Methods 6
- Digital Media Forensic Detection 2
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- Advanced Malware Detection Techniques 6
- Co-authors
- Yuval Elovici (19 shared papers)Adi Shamir (4 shared papers)Ron Bitton (1 shared paper)Ryusuke Masuoka (2 shared papers)Asaf Shabtai (2 shared papers)Yisroel Mirsky (2 shared papers)Erez Shmueli (1 shared paper)Boris Zadov (4 shared papers)
- Journals
- Sensors (2 papers)Computer (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Communications of the ACM (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- IsraelUnited StatesJapan
In The Last Decade
Ben Nassi
20 papers receiving 269 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 59
- Computer Vision and Pattern Recognition 83
- Human-Computer Interaction 21
- Aerospace Engineering 78
- Artificial Intelligence 106
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 20 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2020 | 60 | |
| 3 | 2018 | 31 | |
| 4 | 2019 | 27 | |
| 5 | 2018 | 13 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Ben Nassi
Ben Nassi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Automotive Engineering and Information Systems, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Malware Detection Techniques (6 papers), Autonomous Vehicle Technology and Safety (4 papers), Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers), Digital Media Forensic Detection (2 papers), UAV Applications and Optimization (2 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Signal Processing (59 citations), Computer Vision and Pattern Recognition (83 citations), Human-Computer Interaction (21 citations), Aerospace Engineering (78 citations) and Artificial Intelligence (106 citations). Ben Nassi has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Yuval Elovici, Adi Shamir, Ron Bitton, Ryusuke Masuoka, Asaf Shabtai, Yisroel Mirsky, Erez Shmueli, Boris Zadov, Rachit Agarwal and Daniel Genkin. Their work appears in journals such as Sensors, Computer, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Communications of the ACM 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.