Krishanu Maity
Impact in
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
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- Blockchain Technology Applications and Security
Papers in
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- Hate Speech and Cyberbullying Detection 19
- Anomaly Detection Techniques and Applications 1
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- Context-Aware Activity Recognition Systems 1
- Co-authors
- Sriparna Saha (16 shared papers)Pushpak Bhattacharyya (8 shared papers)Rourab Paul (3 shared papers)Nimisha Ghosh (3 shared papers)Manjeevan Seera (1 shared paper)Sriparna Saha (4 shared papers)Kitsuchart Pasupa (5 shared papers)Mohan D. Rao (1 shared paper)
In The Last Decade
Krishanu Maity
26 papers receiving 311 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 223
- Information Systems 27
- Computer Networks and Communications 23
- Signal Processing 6
- Management Science and Operations Research 10
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 9 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 64 | |
| 2 | 2020 | 38 | |
| 3 | 2022 | 36 | |
| 4 | 2018 | 24 | |
| 5 | 2019 | 24 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2018 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Krishanu Maity
Krishanu Maity is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 27 papers that have together received 325 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (19 papers), Context-Aware Activity Recognition Systems (1 paper), Distributed Sensor Networks and Detection Algorithms (1 paper), Digital Filter Design and Implementation (1 paper), Structural Health Monitoring Techniques (1 paper), Anomaly Detection Techniques and Applications (1 paper), Fault Detection and Control Systems (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Artificial Intelligence (223 citations), Information Systems (27 citations), Computer Networks and Communications (23 citations), Signal Processing (6 citations) and Management Science and Operations Research (10 citations). Krishanu Maity has collaborated with scholars based in India, Thailand and Malaysia. Frequent co-authors include Sriparna Saha, Pushpak Bhattacharyya, Rourab Paul, Nimisha Ghosh, Manjeevan Seera, Sriparna Saha, Kitsuchart Pasupa, Mohan D. Rao and Dhirendra Nath Thatoi. Their work appears in journals such as IEEE Transactions on Computational Social Systems, Expert Systems with Applications, IEEE Internet Computing, IEEE Access and Lecture notes in computer science.
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.