Ambarish Goswami
- Biomedical Engineering top 0.2%
- Control and Systems Engineering top 0.2%
- Computer Vision and Pattern Recognition top 2%
- Mechanical Engineering top 5%
- Rehabilitation top 0.5%
- Co-authors
- Bernard EspiauJerry PrattSung‐Hee LeeBenoît ThuilotS. DrakunovJohn CarffMichael A. PeshkinDavid E. Orin
- Topics
- Robotic Locomotion and Control (43 papers)Prosthetics and Rehabilitation Robotics (30 papers)Muscle activation and electromyography studies (13 papers)
- Cited by
- Biomedical EngineeringControl and Systems EngineeringPhysical Therapy, Sports Therapy and Rehabilitation
- Journals
- Medicine & Science in Sports & ExerciseSensorsThe International Journal of Robotics Research
- Partner nations
- United StatesJapanFrance
In The Last Decade
Ambarish Goswami
73 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Biomedical Engineering 5.5k
- Control and Systems Engineering 2.4k
- Computer Vision and Pattern Recognition 649
- Mechanical Engineering 588
- Rehabilitation 518
Countries citing papers authored by Ambarish Goswami
This map shows the geographic impact of Ambarish Goswami'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 Ambarish Goswami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambarish Goswami more than expected).
Fields of papers citing papers by Ambarish Goswami
This network shows the impact of papers produced by Ambarish Goswami. 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 Ambarish Goswami. The network helps show where Ambarish Goswami may publish in the future.
Co-authorship network of co-authors of Ambarish Goswami
This figure shows the co-authorship network connecting the top 25 collaborators of Ambarish Goswami. A scholar is included among the top collaborators of Ambarish Goswami 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 Ambarish Goswami. Ambarish Goswami 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 | 0 | |
| 3 | 1 | |
| 4 | 76 | |
| 5 | 76 | |
| 6 | 33 | |
| 7 | 24 | |
| 8 | 28 | |
| 9 | 106 | |
| 10 | 39 | |
| 11 | 4 | |
| 12 | 102 | |
| 13 | 11 | |
| 14 | 458 | |
| 15 | Capture Point: A Step toward Humanoid Push Recoverybreakdown → | 769 |
| 16 | 153 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 391 | |
| 20 | 10 |
About Ambarish Goswami
Ambarish Goswami is a scholar working on Control and Systems Engineering, Biomedical Engineering and Rehabilitation, having authored 77 papers that have together received 6.4k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (43 papers), Prosthetics and Rehabilitation Robotics (30 papers) and Muscle activation and electromyography studies (13 papers). The work is most often cited by research in Biomedical Engineering (5.5k citations), Control and Systems Engineering (2.4k citations) and Physical Therapy, Sports Therapy and Rehabilitation (429 citations). Ambarish Goswami has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Bernard Espiau, Jerry Pratt, Sung‐Hee Lee, Benoît Thuilot, S. Drakunov, John Carff, Michael A. Peshkin, David E. Orin, Gabriel Aguirre-Ollinger and J. Edward Colgate. Their work appears in journals such as Medicine & Science in Sports & Exercise, Sensors and The International Journal of Robotics Research.
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.