Souradeep Dutta
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 10%
- Software top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Sriram SankaranarayananXin ChenAshish TiwariSusmit JhaArijit MallickInsup LeeSourya RoyRadoslav Ivanov
- Topics
- Adversarial Robustness in Machine Learning (8 papers)Fault Detection and Control Systems (5 papers)Model Reduction and Neural Networks (4 papers)
- Journals
- IFAC-PapersOnLineACM Transactions on Cyber-Physical SystemsProceedings of the International Conference on Automated Planning and Scheduling
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Souradeep Dutta
14 papers receiving 169 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 129
- Control and Systems Engineering 76
- Computational Theory and Mathematics 48
- Software 30
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Souradeep Dutta
This map shows the geographic impact of Souradeep 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 Souradeep Dutta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Souradeep Dutta more than expected).
Fields of papers citing papers by Souradeep Dutta
This network shows the impact of papers produced by Souradeep 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 Souradeep Dutta. The network helps show where Souradeep Dutta may publish in the future.
Co-authorship network of co-authors of Souradeep Dutta
This figure shows the co-authorship network connecting the top 25 collaborators of Souradeep Dutta. A scholar is included among the top collaborators of Souradeep 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 Souradeep Dutta. Souradeep 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 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 81 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 33 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 1 |
About Souradeep Dutta
Souradeep Dutta is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 14 papers that have together received 172 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Fault Detection and Control Systems (5 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Software (30 citations), Artificial Intelligence (129 citations) and Control and Systems Engineering (76 citations). Souradeep Dutta has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Sriram Sankaranarayanan, Xin Chen, Ashish Tiwari, Susmit Jha, Arijit Mallick, Insup Lee, Sourya Roy, Radoslav Ivanov, Diego Manzanas Lopez and Xin Chen. Their work appears in journals such as IFAC-PapersOnLine, ACM Transactions on Cyber-Physical Systems and Proceedings of the International Conference on Automated Planning and Scheduling.
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.