Nikhil Chavan-Dafle
- Control and Systems Engineering top 2%
- Biomedical Engineering
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Alberto RodríguezMatthew T. MasonHarald StaabRachel HolladayIvan LundbergSiddhartha S SrinivasaMichael ErdmannThomas Fuhlbrigge
- Topics
- Robot Manipulation and Learning (12 papers)Soft Robotics and Applications (6 papers)Robotic Mechanisms and Dynamics (6 papers)
- Journals
- The International Journal of Robotics ResearchScience RoboticsDSpace@MIT (Massachusetts Institute of Technology)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Nikhil Chavan-Dafle
14 papers receiving 431 citations
Peers
Comparison fields: 5 of 38
- Control and Systems Engineering 393
- Biomedical Engineering 236
- Mechanical Engineering 124
- Computer Vision and Pattern Recognition 93
- Cognitive Neuroscience 72
Countries citing papers authored by Nikhil Chavan-Dafle
This map shows the geographic impact of Nikhil Chavan-Dafle'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 Chavan-Dafle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Chavan-Dafle more than expected).
Fields of papers citing papers by Nikhil Chavan-Dafle
This network shows the impact of papers produced by Nikhil Chavan-Dafle. 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 Chavan-Dafle. The network helps show where Nikhil Chavan-Dafle may publish in the future.
Co-authorship network of co-authors of Nikhil Chavan-Dafle
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Chavan-Dafle. A scholar is included among the top collaborators of Nikhil Chavan-Dafle 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 Chavan-Dafle. Nikhil Chavan-Dafle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 45 | |
| 10 | 36 | |
| 11 | 69 | |
| 12 | 29 | |
| 13 | Extrinsic dexterity: In-hand manipulation with external forces | 8 |
| 14 | 11 | |
| 15 | 199 |
About Nikhil Chavan-Dafle
Nikhil Chavan-Dafle is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 444 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Soft Robotics and Applications (6 papers) and Robotic Mechanisms and Dynamics (6 papers). The work is most often cited by research in Control and Systems Engineering (393 citations), Human-Computer Interaction (30 citations) and Biomedical Engineering (236 citations). Nikhil Chavan-Dafle has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Alberto Rodríguez, Matthew T. Mason, Harald Staab, Rachel Holladay, Ivan Lundberg, Siddhartha S Srinivasa, Michael Erdmann, Thomas Fuhlbrigge, Robert Paolini and Gregory Rossano. Their work appears in journals such as The International Journal of Robotics Research, Science Robotics and DSpace@MIT (Massachusetts Institute of Technology).
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.