Binny Mathew

766 total citations
14 papers, 208 citations indexed

About

Binny Mathew is a scholar working on Artificial Intelligence, Communication and Information Systems. According to data from OpenAlex, Binny Mathew has authored 14 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Communication and 6 papers in Information Systems. Recurrent topics in Binny Mathew's work include Hate Speech and Cyberbullying Detection (13 papers), Social Media and Politics (6 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Binny Mathew is often cited by papers focused on Hate Speech and Cyberbullying Detection (13 papers), Social Media and Politics (6 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Binny Mathew collaborates with scholars based in India, Germany and Canada. Binny Mathew's co-authors include Animesh Mukherjee, Punyajoy Saha, Pawan Goyal, Manish Gupta, Mithun Das, Kanishk Singh, Adarsh Kumar and Torsten Zesch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Proceedings of the ACM on Human-Computer Interaction and arXiv (Cornell University).

In The Last Decade

Binny Mathew

14 papers receiving 200 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Binny Mathew India 7 182 71 51 37 19 14 208
Punyajoy Saha India 8 195 1.1× 73 1.0× 51 1.0× 39 1.1× 18 0.9× 18 221
Maximilian Wich Germany 8 205 1.1× 80 1.1× 59 1.2× 29 0.8× 23 1.2× 14 268
Michael Wojatzki Germany 7 216 1.2× 60 0.8× 21 0.4× 64 1.7× 25 1.3× 13 250
AbdelRahim Elmadany Canada 9 418 2.3× 23 0.3× 46 0.9× 46 1.2× 16 0.8× 34 457
Kaitlyn Zhou United States 9 127 0.7× 64 0.9× 100 2.0× 34 0.9× 9 0.5× 12 244
Lizhou Fan United States 7 132 0.7× 32 0.5× 46 0.9× 30 0.8× 16 0.8× 16 215
Véronique Moriceau France 9 227 1.2× 27 0.4× 29 0.6× 56 1.5× 25 1.3× 32 260
Simona Frenda Italy 6 169 0.9× 35 0.5× 38 0.7× 42 1.1× 34 1.8× 15 194
Fabio Poletto Italy 5 354 1.9× 96 1.4× 49 1.0× 73 2.0× 45 2.4× 6 362
Benjamin Cabrera Germany 4 146 0.8× 95 1.3× 82 1.6× 65 1.8× 22 1.2× 7 244

Countries citing papers authored by Binny Mathew

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Binny Mathew

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

All Works

14 of 14 papers shown
1.
Saha, Punyajoy, et al.. (2023). Hate Speech: Detection, Mitigation and Beyond. 1232–1235. 3 indexed citations
2.
Saha, Punyajoy, et al.. (2023). HateProof: Are Hateful Meme Detection Systems really Robust?. arXiv (Cornell University). 3734–3743. 3 indexed citations
3.
Saha, Punyajoy, et al.. (2023). On the rise of fear speech in online social media. Proceedings of the National Academy of Sciences. 120(11). e2212270120–e2212270120. 16 indexed citations
4.
Das, Mithun, et al.. (2023). HateMM: A Multi-Modal Dataset for Hate Video Classification. Proceedings of the International AAAI Conference on Web and Social Media. 17. 1014–1023. 14 indexed citations
5.
Saha, Punyajoy, Kanishk Singh, Adarsh Kumar, Binny Mathew, & Animesh Mukherjee. (2022). CounterGeDi: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5157–5163. 7 indexed citations
6.
Mathew, Binny, et al.. (2022). Platform Governance. GetMobile Mobile Computing and Communications. 26(1). 14–20. 1 indexed citations
7.
Saha, Punyajoy, et al.. (2021). You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. 31. 79–89. 3 indexed citations
8.
Mathew, Binny, et al.. (2020). Hate begets Hate. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW2). 1–24. 49 indexed citations
9.
Mathew, Binny, et al.. (2020). Hate speech in online social media. ACM SIGWEB Newsletter. 2020(Autumn). 1–8. 14 indexed citations
10.
Mathew, Binny, et al.. (2020). Interaction dynamics between hate and counter users on Twitter. 116–124. 10 indexed citations
11.
Mathew, Binny, et al.. (2020). Using Knowledge Graphs to improve Hate Speech Detection. 430–430. 2 indexed citations
12.
Mathew, Binny, et al.. (2020). Competing Topic Naming Conventions in Quora. 125–133. 1 indexed citations
13.
Mathew, Binny, et al.. (2019). Temporal effects of Unmoderated Hate speech in Gab.. arXiv (Cornell University). 2 indexed citations
14.
Mathew, Binny, et al.. (2019). Thou Shalt Not Hate: Countering Online Hate Speech. Proceedings of the International AAAI Conference on Web and Social Media. 13. 369–380. 83 indexed citations

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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