Sambarta Dasgupta
- Control and Systems Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Arijit BiswasSwagatam DasAjith AbrahamUmesh VaidyaVenkataramana AjjarapuMagesh ParamasivamBijaya Ketan PanigrahiV. Ravikumar Pandi
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Gene Regulatory Network Analysis (8 papers)Power System Optimization and Stability (5 papers)
- Journals
- IEEE Transactions on Power SystemsIEEE Transactions on Evolutionary ComputationApplied Mathematics and Computation
- Partner nations
- IndiaUnited StatesNorway
In The Last Decade
Sambarta Dasgupta
26 papers receiving 972 citations
Peers
Comparison fields: 5 of 80
- Control and Systems Engineering 479
- Electrical and Electronic Engineering 401
- Artificial Intelligence 324
- Computer Vision and Pattern Recognition 108
- Computational Theory and Mathematics 104
Countries citing papers authored by Sambarta Dasgupta
This map shows the geographic impact of Sambarta Dasgupta'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 Sambarta Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sambarta Dasgupta more than expected).
Fields of papers citing papers by Sambarta Dasgupta
This network shows the impact of papers produced by Sambarta Dasgupta. 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 Sambarta Dasgupta. The network helps show where Sambarta Dasgupta may publish in the future.
Co-authorship network of co-authors of Sambarta Dasgupta
This figure shows the co-authorship network connecting the top 25 collaborators of Sambarta Dasgupta. A scholar is included among the top collaborators of Sambarta Dasgupta 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 Sambarta Dasgupta. Sambarta Dasgupta 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 | 18 | |
| 3 | 14 | |
| 4 | 67 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 135 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 21 | |
| 12 | 55 | |
| 13 | 184 | |
| 14 | 27 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 27 | |
| 18 | 11 | |
| 19 | 21 | |
| 20 | 8 |
About Sambarta Dasgupta
Sambarta Dasgupta is a scholar working on Modeling and Simulation, Energy Engineering and Power Technology and Artificial Intelligence, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Gene Regulatory Network Analysis (8 papers) and Power System Optimization and Stability (5 papers). The work is most often cited by research in Control and Systems Engineering (479 citations), Modeling and Simulation (83 citations) and Artificial Intelligence (324 citations). Sambarta Dasgupta has collaborated with scholars based in India, United States and Norway. Frequent co-authors include Arijit Biswas, Swagatam Das, Ajith Abraham, Umesh Vaidya, Venkataramana Ajjarapu, Magesh Paramasivam, Bijaya Ketan Panigrahi, V. Ravikumar Pandi, Rajeev Rajaram and Amit Konar. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Evolutionary Computation and Applied Mathematics and Computation.
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.