Vadim Kagan

781 total citations · 1 hit paper
7 papers, 479 citations indexed

About

Vadim Kagan is a scholar working on Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vadim Kagan has authored 7 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vadim Kagan's work include Spam and Phishing Detection (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Misinformation and Its Impacts (2 papers). Vadim Kagan is often cited by papers focused on Spam and Phishing Detection (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Misinformation and Its Impacts (2 papers). Vadim Kagan collaborates with scholars based in United States and United Kingdom. Vadim Kagan's co-authors include V. S. Subrahmanian, John P. Dickerson, Alessandro Flammini, Amos Azaria, Kristina Lerman, Aram Galstyan, Filippo Menczer, Linhong Zhu, Emilio Ferrara and Andrew W. Stevens and has published in prestigious journals such as Sensors, Computer and Journal of the American Medical Informatics Association.

In The Last Decade

Vadim Kagan

7 papers receiving 453 citations

Hit Papers

The DARPA Twitter Bot Challenge 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Vadim Kagan
Comparison fields: 5 of 66
  • Information Systems 279
  • Sociology and Political Science 261
  • Artificial Intelligence 172
  • Signal Processing 113
  • Statistical and Nonlinear Physics 87
Replace Jialun Qin with:
Jialun Qin United States
Xichen Zhang Canada
Lisa Kaati Sweden
Gabriel Magno Brazil
Hazim Almuhimedi United States
Zafar Gilani United Kingdom
Shirin Nilizadeh United States
Tahora H. Nazer United States
Natali Ruchansky United States
Florian Lemmerich Germany
Jialun Qin United States View profile →
Citations per field, relative to Vadim Kagan
Vadim Kagan · 1×
Citations per year, relative to Vadim Kagan
Vadim Kagan · 1×

Countries citing papers authored by Vadim Kagan

Since Specialization
Citations

This map shows the geographic impact of Vadim 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 Vadim Kagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vadim Kagan more than expected).

Fields of papers citing papers by Vadim Kagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vadim 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 Vadim Kagan. The network helps show where Vadim Kagan may publish in the future.

Co-authorship network of co-authors of Vadim Kagan

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Kagan. A scholar is included among the top collaborators of Vadim Kagan 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 Vadim Kagan. Vadim Kagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 4
2 36
3 3
4
The DARPA Twitter Bot Challenge breakdown →
251
5 53
6 126
7 6

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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