Binny Mathew
Impact in
- Communication top 5%
- Social Media and Politics
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
- Adversarial Robustness in Machine Learning
Papers in
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- Hate Speech and Cyberbullying Detection 22
- Internet Traffic Analysis and Secure E-voting 8
-
- Social Media and Politics 6
- Wikis in Education and Collaboration 2
- Co-authors
- Animesh Mukherjee (18 shared papers)Punyajoy Saha (17 shared papers)Pawan Goyal (10 shared papers)Seid Muhie Yimam (1 shared paper)Chris Biemann (1 shared paper)Mithun Das (1 shared paper)Manish Gupta (1 shared paper)Kanishk Singh (1 shared paper)
- Journals
- Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Proceedings of the National Academy of Sciences (1 paper)Lecture notes in computer science (2 papers)Frontiers in artificial intelligence and applications (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Binny Mathew
24 papers receiving 391 citations
Peers
Comparison fields: 5 of 44
- Communication 123
- Artificial Intelligence 349
- Information Systems 66
- Signal Processing 27
- Sociology and Political Science 94
Countries citing papers authored by Binny Mathew
This map shows the geographic impact of Binny Mathew'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 Binny Mathew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binny Mathew more than expected).
Fields of papers citing papers by Binny Mathew
This network shows the impact of papers produced by Binny Mathew. 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 Binny Mathew. The network helps show where Binny Mathew may publish in the future.
Co-authors
The 20 scholars most cited alongside Binny Mathew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2020 | 66 | |
| 3 | 2021 | 45 | |
| 4 | 2021 | 27 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 21 | |
| 7 | 2018 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 2 |
About Binny Mathew
Binny Mathew is a scholar working on Artificial Intelligence, Communication, Information Systems, Signal Processing and Sociology and Political Science, having authored 26 papers that have together received 419 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (22 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Social Media and Politics (6 papers), Spam and Phishing Detection (6 papers), Misinformation and Its Impacts (3 papers), Advanced Malware Detection Techniques (2 papers), Wikis in Education and Collaboration (2 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Communication (123 citations), Artificial Intelligence (349 citations), Information Systems (66 citations), Signal Processing (27 citations) and Sociology and Political Science (94 citations). Binny Mathew has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Animesh Mukherjee, Punyajoy Saha, Pawan Goyal, Seid Muhie Yimam, Chris Biemann, Mithun Das, Manish Gupta, Kanishk Singh, Adarsh M. Kumar and Florian Lemmerich. Their work appears in journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Proceedings of the ACM on Human-Computer Interaction, Proceedings of the National Academy of Sciences, Lecture notes in computer science and Frontiers in artificial intelligence and applications.
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.