Nikhil Khedekar
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering
- Mechanical Engineering
- Computer Networks and Communications
- Co-authors
- Kostas AlexisHuan NguyenMihir DharmadhikariTung DangMihir KulkarniFrank MascarichChristos PapachristosPaolo De Petris
- Topics
- Robotics and Sensor-Based Localization (13 papers)Robotic Path Planning Algorithms (9 papers)Underwater Vehicles and Communication Systems (4 papers)
- Journals
- now publishers, Inc. eBooksDigital Commons - University of South Florida (University of South Florida)2022 International Conference on Robotics and Automation (ICRA)
- Partner nations
- NorwayUnited StatesIndia
In The Last Decade
Nikhil Khedekar
16 papers receiving 299 citations
Peers
Comparison fields: 5 of 41
- Aerospace Engineering 235
- Computer Vision and Pattern Recognition 217
- Control and Systems Engineering 51
- Mechanical Engineering 43
- Computer Networks and Communications 37
Countries citing papers authored by Nikhil Khedekar
This map shows the geographic impact of Nikhil Khedekar'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 Nikhil Khedekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Khedekar more than expected).
Fields of papers citing papers by Nikhil Khedekar
This network shows the impact of papers produced by Nikhil Khedekar. 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 Nikhil Khedekar. The network helps show where Nikhil Khedekar may publish in the future.
Co-authorship network of co-authors of Nikhil Khedekar
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Khedekar. A scholar is included among the top collaborators of Nikhil Khedekar 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 Nikhil Khedekar. Nikhil Khedekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 61 | |
| 6 | 22 | |
| 7 | 14 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 111 | |
| 13 | Field-hardened Robotic Autonomy for Subterranean Exploration | 18 |
| 14 | 14 | |
| 15 | 10 | |
| 16 | 6 |
About Nikhil Khedekar
Nikhil Khedekar is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 16 papers that have together received 309 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (9 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Aerospace Engineering (235 citations) and Geology (20 citations). Nikhil Khedekar has collaborated with scholars based in Norway, United States and India. Frequent co-authors include Kostas Alexis, Huan Nguyen, Mihir Dharmadhikari, Tung Dang, Mihir Kulkarni, Frank Mascarich, Christos Papachristos, Paolo De Petris, Shehryar Khattak and Marco Hutter. Their work appears in journals such as now publishers, Inc. eBooks, Digital Commons - University of South Florida (University of South Florida) and 2022 International Conference on Robotics and Automation (ICRA).
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.