Binny Mathew
Impact in
- Communication top 10%
- Social Media and Politics
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
Papers in
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- Hate Speech and Cyberbullying Detection 15
- Internet Traffic Analysis and Secure E-voting 6
- Topic Modeling 1
-
- Social Media and Politics 6
- Co-authors
- Animesh Mukherjee (12 shared papers)Punyajoy Saha (13 shared papers)Pawan Goyal (7 shared papers)Manish Gupta (1 shared paper)Mithun Das (1 shared paper)Adarsh Kumar (1 shared paper)Kanishk Singh (1 shared paper)Srijan Kumar (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (2 papers)arXiv (Cornell University) (2 papers)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Binny Mathew
15 papers receiving 221 citations
Peers
Comparison fields: 5 of 37
- Communication 77
- Artificial Intelligence 195
- Information Systems 40
- Signal Processing 16
- Human-Computer Interaction 8
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 12 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | 2020 | 52 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 16 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2024 | 2 | |
| 13 | Temporal effects of Unmoderated Hate speech in Gab. | 2019 | 2 |
| 14 | 2022 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 0 |
About Binny Mathew
Binny Mathew is a scholar working on Artificial Intelligence, Communication, Information Systems, Signal Processing and Clinical Psychology, having authored 16 papers that have together received 231 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (15 papers), Social Media and Politics (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Spam and Phishing Detection (4 papers), Advanced Malware Detection Techniques (2 papers), Cybercrime and Law Enforcement Studies (1 paper), Expert finding and Q&A systems (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Communication (77 citations), Artificial Intelligence (195 citations), Information Systems (40 citations), Signal Processing (16 citations) and Human-Computer Interaction (8 citations). Binny Mathew has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Animesh Mukherjee, Punyajoy Saha, Pawan Goyal, Manish Gupta, Mithun Das, Adarsh Kumar, Kanishk Singh, Srijan Kumar, Gaurav Verma and Jiawei Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proceedings of the ACM on Human-Computer Interaction, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, Proceedings of the International AAAI Conference on Web and Social Media 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.