Ankush Chatterjee
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Natural Language Processing Techniques
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- Emotion and Mood Recognition
Papers in
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- Sentiment Analysis and Opinion Mining 3
- Topic Modeling 3
- Advanced Text Analysis Techniques 1
- Natural Language Processing Techniques 1
- AI in Service Interactions 1
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- Emotion and Mood Recognition 2
- Co-authors
- Puneet Agrawal (5 shared papers)Manoj Kumar Chinnakotla (1 shared paper)Michel Galley (1 shared paper)Radhakrishnan Srikanth (2 shared papers)Umang Gupta (2 shared papers)Manish Gupta (1 shared paper)
- Journals
- Computers in Human Behavior (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Ankush Chatterjee
5 papers receiving 395 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 356
- Experimental and Cognitive Psychology 121
- Social Psychology 66
- Information Systems 45
- Applied Psychology 10
Countries citing papers authored by Ankush Chatterjee
This map shows the geographic impact of Ankush Chatterjee'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 Ankush Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankush Chatterjee more than expected).
Fields of papers citing papers by Ankush Chatterjee
This network shows the impact of papers produced by Ankush Chatterjee. 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 Ankush Chatterjee. The network helps show where Ankush Chatterjee may publish in the future.
Co-authors
The 6 scholars most cited alongside Ankush Chatterjee, 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 | 2018 | 247 | |
| 2 | 2019 | 170 | |
| 3 | 2019 | 6 | |
| 4 | 2020 | 2 | |
| 5 | Emotion Detection from Text | 2017 | 1 |
About Ankush Chatterjee
Ankush Chatterjee is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 5 papers that have together received 426 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers), Emotion and Mood Recognition (2 papers), Advanced Text Analysis Techniques (1 paper), Complex Network Analysis Techniques (1 paper), Natural Language Processing Techniques (1 paper), Expert finding and Q&A systems (1 paper) and AI in Service Interactions (1 paper). The work is most often cited by research in Artificial Intelligence (356 citations), Experimental and Cognitive Psychology (121 citations), Social Psychology (66 citations), Information Systems (45 citations) and Applied Psychology (10 citations). Ankush Chatterjee has collaborated with scholars based in India and United States. Frequent co-authors include Puneet Agrawal, Manoj Kumar Chinnakotla, Michel Galley, Radhakrishnan Srikanth, Umang Gupta and Manish Gupta. Their work appears in journals such as Computers in Human Behavior 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.