Dima Kagan

13 papers receiving 237 citations

Peers

Dima Kagan
Comparison fields: 5 of 77
  • Information Systems 118
  • Signal Processing 45
  • Statistical and Nonlinear Physics 39
  • Computer Networks and Communications 62
  • Transportation 16
Replace Zafar Gilani with:
Zafar Gilani United Kingdom
Ting Hua United States
Philipp Singer Germany
Justin Song Canada
Salvatore Catanese Italy
Ming Dong China
Neetu Sardana India
Soheila Molaei Iran
Steven Van Canneyt Belgium
Hao Fu China
Dima Kagan relative to Zafar Gilani United Kingdom Zafar Gilani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dima Kagan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dima Kagan Line = papers co-authored together Dima Kagan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201469
2 201329
3 202026
4 201824
5 201223
6 202313
7 202113
8 201213
9
Social Privacy Protector - Protecting Users' Privacy in Social Networks
201213
10 201712
11 20149
12 20231
13 20241
14 20240
15 20250
16 20230

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.

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