Punyajoy Saha
- Communication top 10%
- Social Media and Politics 5
- Swearing, Euphemism, Multilingualism 2
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection 17
- Internet Traffic Analysis and Secure E-voting 6
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- Spam and Phishing Detection 4
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- Advanced Malware Detection Techniques 3
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- Sexuality, Behavior, and Technology 1
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- Freedom of Expression and Defamation 1
- Co-authors
- Animesh MukherjeeBinny MathewPawan GoyalSomnath BanerjeeManish GuptaMithun DasKanishk SinghAdarsh Kumar
- 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)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Punyajoy Saha
16 papers receiving 212 citations
Peers
Comparison fields: 5 of 35
- Communication 73
- Artificial Intelligence 195
- Information Systems 39
- Signal Processing 18
- Human-Computer Interaction 7
Countries citing papers authored by Punyajoy Saha
This map shows the geographic impact of Punyajoy Saha'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 Punyajoy Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Punyajoy Saha more than expected).
Fields of papers citing papers by Punyajoy Saha
This network shows the impact of papers produced by Punyajoy Saha. 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 Punyajoy Saha. The network helps show where Punyajoy Saha may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Punyajoy Saha, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 1 | |
| 12 | Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection. | 2021 | 2 |
| 13 | 2021 | 3 | |
| 14 | 2020 | 49 | |
| 15 | 2020 | 14 | |
| 16 | 2020 | 2 | |
| 17 | Temporal effects of Unmoderated Hate speech in Gab. | 2019 | 2 |
| 18 | 2019 | 83 |
About Punyajoy Saha
Punyajoy Saha is a scholar working on Communication, Artificial Intelligence and Signal Processing, having authored 18 papers that have together received 221 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (17 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Social Media and Politics (5 papers), Spam and Phishing Detection (4 papers), Advanced Malware Detection Techniques (3 papers), Swearing, Euphemism, Multilingualism (2 papers), Sexuality, Behavior, and Technology (1 paper) and Freedom of Expression and Defamation (1 paper). The work is most often cited by research in Communication (73 citations), Artificial Intelligence (195 citations) and Information Systems (39 citations). Punyajoy Saha has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Animesh Mukherjee, Binny Mathew, Pawan Goyal, Somnath Banerjee, Manish Gupta, Mithun Das, Kanishk Singh, Adarsh Kumar, Debajit Chakraborty and Torsten Zesch. 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 ACM SIGWEB Newsletter.
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.