Yaron Kassner
Impact in
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
- Software System Performance and Reliability
- Caching and Content Delivery
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting
- Data Stream Mining Techniques
Papers in
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- Network Security and Intrusion Detection 7
- Network Traffic and Congestion Control 3
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- Internet Traffic Analysis and Secure E-voting 6
- Algorithms and Data Compression 2
- Machine Learning and Algorithms 1
- Co-authors
- Gil Einziger (11 shared papers)Roy Friedman (10 shared papers)Ran Ben Basat (9 shared papers)Vyas Sekar (1 shared paper)Vladimir Braverman (1 shared paper)Zaoxing Liu (1 shared paper)Xiaoqi Chen (1 shared paper)
- Journals
- IEEE/ACM Transactions on Networking (2 papers)Algorithmica (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Yaron Kassner
10 papers receiving 405 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 384
- Artificial Intelligence 264
- Hardware and Architecture 50
- Signal Processing 61
- Computational Mathematics 1
Countries citing papers authored by Yaron Kassner
This map shows the geographic impact of Yaron Kassner'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 Yaron Kassner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaron Kassner more than expected).
Fields of papers citing papers by Yaron Kassner
This network shows the impact of papers produced by Yaron Kassner. 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 Yaron Kassner. The network helps show where Yaron Kassner may publish in the future.
Co-authors
The 7 scholars most cited alongside Yaron Kassner, 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 | 2019 | 143 | |
| 2 | 2016 | 121 | |
| 3 | 2017 | 57 | |
| 4 | 2017 | 48 | |
| 5 | 2019 | 21 | |
| 6 | 2015 | 19 | |
| 7 | 2017 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2018 | 2 | |
| 10 | 2016 | 1 | |
| 11 | 2017 | 1 |
About Yaron Kassner
Yaron Kassner is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 11 papers that have together received 422 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Network Packet Processing and Optimization (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Network Traffic and Congestion Control (3 papers), Complexity and Algorithms in Graphs (2 papers), Algorithms and Data Compression (2 papers), Advanced Optical Network Technologies (1 paper) and Machine Learning and Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (384 citations), Artificial Intelligence (264 citations), Hardware and Architecture (50 citations), Signal Processing (61 citations) and Computational Mathematics (1 citation). Yaron Kassner has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Gil Einziger, Roy Friedman, Ran Ben Basat, Vyas Sekar, Vladimir Braverman, Zaoxing Liu and Xiaoqi Chen. Their work appears in journals such as IEEE/ACM Transactions on Networking, Algorithmica and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.