Vinay A. Bavdekar
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Ocean Engineering
- Co-authors
- Sachin C. PatwardhanAnjali DeshpandeAli MesbahSirish L. ShahR. Bhushan GopaluniJ. PrakashDogan GidonVictoria M. Ehlinger
- Topics
- Fault Detection and Control Systems (17 papers)Target Tracking and Data Fusion in Sensor Networks (11 papers)Advanced Control Systems Optimization (10 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceStatistics, Probability and Uncertainty
- Journals
- Industrial & Engineering Chemistry ResearchComputers & Chemical EngineeringJournal of Process Control
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Vinay A. Bavdekar
18 papers receiving 336 citations
Peers
Comparison fields: 5 of 72
- Control and Systems Engineering 191
- Artificial Intelligence 126
- Aerospace Engineering 63
- Electrical and Electronic Engineering 41
- Ocean Engineering 31
Countries citing papers authored by Vinay A. Bavdekar
This map shows the geographic impact of Vinay A. Bavdekar'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 Vinay A. Bavdekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay A. Bavdekar more than expected).
Fields of papers citing papers by Vinay A. Bavdekar
This network shows the impact of papers produced by Vinay A. Bavdekar. 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 Vinay A. Bavdekar. The network helps show where Vinay A. Bavdekar may publish in the future.
Co-authorship network of co-authors of Vinay A. Bavdekar
This figure shows the co-authorship network connecting the top 25 collaborators of Vinay A. Bavdekar. A scholar is included among the top collaborators of Vinay A. Bavdekar 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 Vinay A. Bavdekar. Vinay A. Bavdekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 215 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 2 |
About Vinay A. Bavdekar
Vinay A. Bavdekar is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 18 papers that have together received 342 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (17 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers) and Advanced Control Systems Optimization (10 papers). The work is most often cited by research in Control and Systems Engineering (191 citations), Artificial Intelligence (126 citations) and Statistics, Probability and Uncertainty (26 citations). Vinay A. Bavdekar has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Sachin C. Patwardhan, Anjali Deshpande, Ali Mesbah, Sirish L. Shah, R. Bhushan Gopaluni, J. Prakash, Dogan Gidon, Victoria M. Ehlinger, J. Prakash and Naresh N. Nandola. Their work appears in journals such as Industrial & Engineering Chemistry Research, Computers & Chemical Engineering and Journal of Process Control.
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.