Ashok Deb
Impact in
- Communication top 5%
- Social Media and Politics
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
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- Misinformation and Its Impacts 5
- Media Influence and Politics 1
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- Spam and Phishing Detection 3
- Co-authors
- Emilio Ferrara (6 shared papers)Luca Luceri (3 shared papers)Emily Chen (1 shared paper)Adam Badawy (1 shared paper)Silvia Giordano (1 shared paper)Kristina Lerman (1 shared paper)Steven B. Heymsfield (1 shared paper)J. D. Scudder (1 shared paper)
- Journals
- Current Obesity Reports (1 paper)First Monday (1 paper)Information (1 paper)Journal of Computational Social Science (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Ashok Deb
8 papers receiving 240 citations
Ashok Deb's Hit Papers
Peers
Comparison fields: 5 of 60
- Communication 80
- Information Systems 92
- Sociology and Political Science 152
- Statistical and Nonlinear Physics 37
- Signal Processing 32
Countries citing papers authored by Ashok Deb
This map shows the geographic impact of Ashok Deb'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 Ashok Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashok Deb more than expected).
Fields of papers citing papers by Ashok Deb
This network shows the impact of papers produced by Ashok Deb. 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 Ashok Deb. The network helps show where Ashok Deb may publish in the future.
Co-authors
The 13 scholars most cited alongside Ashok Deb, 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 | 60 | |
| 2 | 2021 | 55 | |
| 3 | 2019 | 37 | |
| 4 | 2019 | 36 | |
| 5 | 2018 | 28 | |
| 6 | Updates on Methods for Body Composition Analysis: Implications for Clinical Practice Hit paper breakdown → | 2025 | 16 |
| 7 | 2018 | 11 | |
| 8 | MODELING THE COMMUNICATIONS CAPABILITIES OF THE INFANTRY SOLDIER | 2001 | 3 |
About Ashok Deb
Ashok Deb is a scholar working on Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics, Artificial Intelligence and Communication, having authored 8 papers that have together received 246 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (5 papers), Spam and Phishing Detection (3 papers), Opinion Dynamics and Social Influence (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Social Media and Politics (1 paper), Body Composition Measurement Techniques (1 paper), Nutritional Studies and Diet (1 paper) and Media Influence and Politics (1 paper). The work is most often cited by research in Communication (80 citations), Information Systems (92 citations), Sociology and Political Science (152 citations), Statistical and Nonlinear Physics (37 citations) and Signal Processing (32 citations). Ashok Deb has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Emilio Ferrara, Luca Luceri, Emily Chen, Adam Badawy, Silvia Giordano, Kristina Lerman, Steven B. Heymsfield, J. D. Scudder, Diana M. Thomas and Yan Shen. Their work appears in journals such as Current Obesity Reports, First Monday, Information, Journal of Computational Social Science and arXiv (Cornell 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.