Shaunak D. Bopardikar
- Aerospace Engineering top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Francesco BulloJoão P. HespanhaAlberto SperanzonStephen L. SmithBrendan EnglotEloy GarcíaXiaobo TanSubhash Suri
- Topics
- Distributed Control Multi-Agent Systems (14 papers)Target Tracking and Data Fusion in Sensor Networks (12 papers)Optimization and Search Problems (11 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- United StatesIrelandFinland
In The Last Decade
Shaunak D. Bopardikar
63 papers receiving 626 citations
Peers
Comparison fields: 5 of 76
- Aerospace Engineering 298
- Computer Networks and Communications 211
- Computer Vision and Pattern Recognition 204
- Artificial Intelligence 145
- Control and Systems Engineering 126
Countries citing papers authored by Shaunak D. Bopardikar
This map shows the geographic impact of Shaunak D. Bopardikar'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 Shaunak D. Bopardikar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaunak D. Bopardikar more than expected).
Fields of papers citing papers by Shaunak D. Bopardikar
This network shows the impact of papers produced by Shaunak D. Bopardikar. 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 Shaunak D. Bopardikar. The network helps show where Shaunak D. Bopardikar may publish in the future.
Co-authorship network of co-authors of Shaunak D. Bopardikar
This figure shows the co-authorship network connecting the top 25 collaborators of Shaunak D. Bopardikar. A scholar is included among the top collaborators of Shaunak D. Bopardikar 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 Shaunak D. Bopardikar. Shaunak D. Bopardikar 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 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 65 |
About Shaunak D. Bopardikar
Shaunak D. Bopardikar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering, having authored 69 papers that have together received 645 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (14 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers) and Optimization and Search Problems (11 papers). The work is most often cited by research in Aerospace Engineering (298 citations), Computer Vision and Pattern Recognition (204 citations) and Computer Networks and Communications (211 citations). Shaunak D. Bopardikar has collaborated with scholars based in United States, Ireland and Finland. Frequent co-authors include Francesco Bullo, João P. Hespanha, Alberto Speranzon, Stephen L. Smith, Brendan Englot, Eloy García, Xiaobo Tan, Subhash Suri, Vaibhav Srivastava and Maria Domenica Di Benedetto. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.