Roei Schuster
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Security and Verification in Computing
- Topic Modeling
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Topic Modeling 4
- Security and Verification in Computing 2
- Cryptography and Data Security 2
- Natural Language Processing Techniques 2
- Privacy-Preserving Technologies in Data 2
- Internet Traffic Analysis and Secure E-voting 1
-
- Advanced Malware Detection Techniques 3
- Co-authors
- Eran Tromer (4 shared papers)Vitaly Shmatikov (2 shared papers)Ali Shahin Shamsabadi (2 shared papers)Ilia Shumailov (2 shared papers)Nicolas Papernot (2 shared papers)Franziska Boenisch (2 shared papers)Adam Dziedzic (2 shared papers)Daniel Genkin (1 shared paper)
- Journals
- Computational Linguistics (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Roei Schuster
10 papers receiving 253 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 71
- Artificial Intelligence 183
- Information Systems 60
- Hardware and Architecture 16
- Computer Networks and Communications 51
Countries citing papers authored by Roei Schuster
This map shows the geographic impact of Roei Schuster'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 Roei Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roei Schuster more than expected).
Fields of papers citing papers by Roei Schuster
This network shows the impact of papers produced by Roei Schuster. 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 Roei Schuster. The network helps show where Roei Schuster may publish in the future.
Co-authors
The 16 scholars most cited alongside Roei Schuster, 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 | 80 | |
| 2 | 2018 | 60 | |
| 3 | 2019 | 54 | |
| 4 | 2023 | 19 | |
| 5 | 2021 | 14 | |
| 6 | 2016 | 8 | |
| 7 | 2020 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2020 | 1 |
About Roei Schuster
Roei Schuster is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Sociology and Political Science and Demography, having authored 10 papers that have together received 257 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Advanced Malware Detection Techniques (3 papers), Security and Verification in Computing (2 papers), Cryptography and Data Security (2 papers), Natural Language Processing Techniques (2 papers), Privacy-Preserving Technologies in Data (2 papers), Privacy, Security, and Data Protection (2 papers) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Signal Processing (71 citations), Artificial Intelligence (183 citations), Information Systems (60 citations), Hardware and Architecture (16 citations) and Computer Networks and Communications (51 citations). Roei Schuster has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Eran Tromer, Vitaly Shmatikov, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot, Franziska Boenisch, Adam Dziedzic, Daniel Genkin, Mor Geva and Jonathan Berant. Their work appears in journals such as Computational Linguistics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and arXiv (Cornell University).
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.