Haimonti Dutta
- Human-Computer Interaction top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- M. K. BhuyanAmarjeet SinghRabul Hussain LaskarNipun BatraCynthia RudinRebecca J. PassonneauAxinia RadevaDebanga Raj Neog
- Topics
- Hand Gesture Recognition Systems (9 papers)Human Pose and Action Recognition (6 papers)Time Series Analysis and Forecasting (4 papers)
- Journals
- Expert Systems with ApplicationsMachine LearningIEEE Transactions on Instrumentation and Measurement
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Haimonti Dutta
15 papers receiving 116 citations
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 39
- Computer Vision and Pattern Recognition 37
- Electrical and Electronic Engineering 36
- Control and Systems Engineering 28
- Artificial Intelligence 26
Countries citing papers authored by Haimonti Dutta
This map shows the geographic impact of Haimonti Dutta'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 Haimonti Dutta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haimonti Dutta more than expected).
Fields of papers citing papers by Haimonti Dutta
This network shows the impact of papers produced by Haimonti Dutta. 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 Haimonti Dutta. The network helps show where Haimonti Dutta may publish in the future.
Co-authorship network of co-authors of Haimonti Dutta
This figure shows the co-authorship network connecting the top 25 collaborators of Haimonti Dutta. A scholar is included among the top collaborators of Haimonti Dutta 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 Haimonti Dutta. Haimonti Dutta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 28 | |
| 13 | Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid. | 2 |
| 14 | 10 | |
| 15 | 35 | |
| 16 | 2 |
About Haimonti Dutta
Haimonti Dutta is a scholar working on Human-Computer Interaction, Rehabilitation and Signal Processing, having authored 16 papers that have together received 130 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (9 papers), Human Pose and Action Recognition (6 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Human-Computer Interaction (39 citations), Computer Vision and Pattern Recognition (37 citations) and Health Informatics (2 citations). Haimonti Dutta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include M. K. Bhuyan, Amarjeet Singh, Rabul Hussain Laskar, Nipun Batra, Cynthia Rudin, Rebecca J. Passonneau, Axinia Radeva, Debanga Raj Neog, Karl F. MacDorman and Debajit Sarma. Their work appears in journals such as Expert Systems with Applications, Machine Learning and IEEE Transactions on Instrumentation and Measurement.
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.