Dima Kagan
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Spam and Phishing Detection 9
- Cybercrime and Law Enforcement Studies 2
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- Internet Traffic Analysis and Secure E-voting 4
- Co-authors
- Michael Fire (15 shared papers)Yuval Elovici (7 shared papers)Galit Fuhrmann Alpert (4 shared papers)Jacob Moran‐Gilad (1 shared paper)Rami Puzis (2 shared papers)Lior Rokach (1 shared paper)Itshak Melzer (1 shared paper)Amir Shapiro (1 shared paper)
- Journals
- Social Network Analysis and Mining (2 papers)Humanities and Social Sciences Communications (2 papers)GigaScience (2 papers)European Review of Aging and Physical Activity (1 paper)Neural Processing Letters (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Dima Kagan
13 papers receiving 237 citations
Peers
Comparison fields: 5 of 77
- Information Systems 118
- Signal Processing 45
- Statistical and Nonlinear Physics 39
- Computer Networks and Communications 62
- Transportation 16
Countries citing papers authored by Dima Kagan
This map shows the geographic impact of Dima Kagan'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 Dima Kagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dima Kagan more than expected).
Fields of papers citing papers by Dima Kagan
This network shows the impact of papers produced by Dima Kagan. 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 Dima Kagan. The network helps show where Dima Kagan may publish in the future.
Co-authors
The 10 scholars most cited alongside Dima Kagan, 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 | 2014 | 69 | |
| 2 | 2013 | 29 | |
| 3 | 2020 | 26 | |
| 4 | 2018 | 24 | |
| 5 | 2012 | 23 | |
| 6 | 2023 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2012 | 13 | |
| 9 | Social Privacy Protector - Protecting Users' Privacy in Social Networks | 2012 | 13 |
| 10 | 2017 | 12 | |
| 11 | 2014 | 9 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 |
About Dima Kagan
Dima Kagan is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 246 indexed citations. Recurring topics across this work include Spam and Phishing Detection (9 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Privacy, Security, and Data Protection (3 papers), Complex Network Analysis Techniques (2 papers), Cybercrime and Law Enforcement Studies (2 papers), Network Security and Intrusion Detection (2 papers), Machine Learning in Bioinformatics (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Information Systems (118 citations), Signal Processing (45 citations), Statistical and Nonlinear Physics (39 citations), Computer Networks and Communications (62 citations) and Transportation (16 citations). Dima Kagan has collaborated with scholars based in Israel and United States. Frequent co-authors include Michael Fire, Yuval Elovici, Galit Fuhrmann Alpert, Jacob Moran‐Gilad, Rami Puzis, Lior Rokach, Itshak Melzer, Amir Shapiro, Guy Shani and Esti Yeger‐Lotem. Their work appears in journals such as Social Network Analysis and Mining, Humanities and Social Sciences Communications, GigaScience, European Review of Aging and Physical Activity and Neural Processing Letters.
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.