Yisroel Mirsky
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Yuval EloviciMordechai GuriLior RokachAsaf ShabtaiBracha ShapiraBen NassiYoram HaddadWenke Lee
- Topics
- Advanced Malware Detection Techniques (13 papers)Adversarial Robustness in Machine Learning (10 papers)Network Security and Intrusion Detection (6 papers)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Yisroel Mirsky
27 papers receiving 369 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 190
- Signal Processing 143
- Computer Networks and Communications 127
- Information Systems 116
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Yisroel Mirsky
This map shows the geographic impact of Yisroel Mirsky'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 Yisroel Mirsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yisroel Mirsky more than expected).
Fields of papers citing papers by Yisroel Mirsky
This network shows the impact of papers produced by Yisroel Mirsky. 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 Yisroel Mirsky. The network helps show where Yisroel Mirsky may publish in the future.
Co-authorship network of co-authors of Yisroel Mirsky
This figure shows the co-authorship network connecting the top 25 collaborators of Yisroel Mirsky. A scholar is included among the top collaborators of Yisroel Mirsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yisroel Mirsky. Yisroel Mirsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 52 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | GSMem: data exfiltration from air-gapped computers over GSM frequencies | 81 |
| 19 | 3 | |
| 20 | Power efficient femtocell distribution strategies | 5 |
About Yisroel Mirsky
Yisroel Mirsky is a scholar working on Health Informatics, Signal Processing and Artificial Intelligence, having authored 28 papers that have together received 390 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (13 papers), Adversarial Robustness in Machine Learning (10 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Signal Processing (143 citations), Health Informatics (9 citations) and Artificial Intelligence (190 citations). Yisroel Mirsky has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Yuval Elovici, Mordechai Guri, Lior Rokach, Asaf Shabtai, Bracha Shapira, Ben Nassi, Yoram Haddad, Wenke Lee, Yang Liu and Battista Biggio. Their work appears in journals such as Communications of the ACM, American Journal of Roentgenology and Computers & 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.