Krishanu Maity
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
- Topic Modeling
Papers in
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- Hate Speech and Cyberbullying Detection 11
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- Advanced Malware Detection Techniques 4
- Co-authors
- Sriparna Saha (10 shared papers)Pushpak Bhattacharyya (7 shared papers)Nimisha Ghosh (2 shared papers)Manjeevan Seera (1 shared paper)Sriparna Saha (3 shared papers)Dhirendra Nath Thatoi (1 shared paper)Kitsuchart Pasupa (2 shared papers)Mohan D. Rao (1 shared paper)
- Journals
- IEEE Transactions on Computational Social Systems (4 papers)IEEE Internet Computing (1 paper)IEEE Access (1 paper)Journal of Failure Analysis and Prevention (1 paper)2022 26th International Conference on Pattern Recognition (ICPR) (1 paper)
In The Last Decade
Krishanu Maity
20 papers receiving 195 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 51
- Artificial Intelligence 145
- Information Systems 45
- Social Psychology 38
- Computer Networks and Communications 35
Countries citing papers authored by Krishanu Maity
This map shows the geographic impact of Krishanu Maity'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 Krishanu Maity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishanu Maity more than expected).
Fields of papers citing papers by Krishanu Maity
This network shows the impact of papers produced by Krishanu Maity. 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 Krishanu Maity. The network helps show where Krishanu Maity may publish in the future.
Co-authors
The 8 scholars most cited alongside Krishanu Maity, 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 | 2022 | 51 | |
| 2 | 2022 | 29 | |
| 3 | 2019 | 22 | |
| 4 | 2018 | 20 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 10 | |
| 8 | 2018 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2018 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Krishanu Maity
Krishanu Maity is a scholar working on Artificial Intelligence, Signal Processing, Social Psychology, Information Systems and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 202 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (11 papers), Bullying, Victimization, and Aggression (5 papers), Advanced Malware Detection Techniques (4 papers), Software Engineering Research (2 papers), Infrastructure Maintenance and Monitoring (1 paper), Virology and Viral Diseases (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Signal Processing (51 citations), Artificial Intelligence (145 citations), Information Systems (45 citations), Social Psychology (38 citations) and Computer Networks and Communications (35 citations). Krishanu Maity has collaborated with scholars based in India, Thailand and Malaysia. Frequent co-authors include Sriparna Saha, Pushpak Bhattacharyya, Nimisha Ghosh, Manjeevan Seera, Sriparna Saha, Dhirendra Nath Thatoi, Kitsuchart Pasupa and Mohan D. Rao. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Internet Computing, IEEE Access, Journal of Failure Analysis and Prevention and 2022 26th International Conference on Pattern Recognition (ICPR).
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.