Amit Klein
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Caching and Content Delivery
Papers in
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- Network Security and Intrusion Detection 6
- Caching and Content Delivery 5
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- IPv6, Mobility, Handover, Networks, Security 6
- Co-authors
- Haya Shulman (4 shared papers)Michael Waidner (4 shared papers)Benny Pinkas (3 shared papers)Yonit Kesten (2 shared papers)Jonathan Berger (1 shared paper)Amir Pnueli (2 shared papers)V. E. Kravtsov (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)USENIX Security Symposium (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (2 papers)Lancaster EPrints (Lancaster University) (1 paper)
In The Last Decade
Amit Klein
13 papers receiving 161 citations
Peers
Comparison fields: 5 of 18
- Signal Processing 48
- Computer Networks and Communications 99
- Artificial Intelligence 126
- Information Systems 60
- Software 10
Countries citing papers authored by Amit Klein
This map shows the geographic impact of Amit Klein'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 Amit Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Klein more than expected).
Fields of papers citing papers by Amit Klein
This network shows the impact of papers produced by Amit Klein. 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 Amit Klein. The network helps show where Amit Klein may publish in the future.
Co-authors
The 7 scholars most cited alongside Amit Klein, 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 | 2017 | 35 | |
| 2 | 2018 | 32 | |
| 3 | 2002 | 29 | |
| 4 | 2019 | 21 | |
| 5 | 2017 | 12 | |
| 6 | From IP ID to Device ID and KASLR Bypass. | 2019 | 9 |
| 7 | 2022 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 1999 | 6 | |
| 10 | 2011 | 4 | |
| 11 | Hacking Web Applications Using Cookie Poisoning | 2002 | 3 |
| 12 | 2017 | 3 | |
| 13 | 1999 | 2 |
About Amit Klein
Amit Klein is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Signal Processing, having authored 13 papers that have together received 169 indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (6 papers), Network Security and Intrusion Detection (6 papers), Caching and Content Delivery (5 papers), Network Packet Processing and Optimization (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Advanced Malware Detection Techniques (3 papers), Software Testing and Debugging Techniques (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Signal Processing (48 citations), Computer Networks and Communications (99 citations), Artificial Intelligence (126 citations), Information Systems (60 citations) and Software (10 citations). Amit Klein has collaborated with scholars based in Israel and Germany. Frequent co-authors include Haya Shulman, Michael Waidner, Benny Pinkas, Yonit Kesten, Jonathan Berger, Amir Pnueli and V. E. Kravtsov. Their work appears in journals such as Lecture notes in computer science, USENIX Security Symposium, Fraunhofer-Publica (Fraunhofer-Gesellschaft), Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Lancaster EPrints (Lancaster 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.