Satyajit Ambike
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Physical Therapy, Sports Therapy and Rehabilitation top 2%
- Social Psychology top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Mark L. LatashVladimir M. ZatsiorskyDaniela MattosJames P. SchmiedelerKarthik RamaniWolfgang StuerzlingerFlorent PacletShirley Rietdyk
- Topics
- Motor Control and Adaptation (28 papers)Muscle activation and electromyography studies (21 papers)Balance, Gait, and Falls Prevention (13 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationCognitive NeuroscienceHuman-Computer Interaction
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Satyajit Ambike
38 papers receiving 598 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 437
- Biomedical Engineering 370
- Physical Therapy, Sports Therapy and Rehabilitation 153
- Social Psychology 114
- Human-Computer Interaction 85
Countries citing papers authored by Satyajit Ambike
This map shows the geographic impact of Satyajit Ambike'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 Satyajit Ambike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satyajit Ambike more than expected).
Fields of papers citing papers by Satyajit Ambike
This network shows the impact of papers produced by Satyajit Ambike. 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 Satyajit Ambike. The network helps show where Satyajit Ambike may publish in the future.
Co-authorship network of co-authors of Satyajit Ambike
This figure shows the co-authorship network connecting the top 25 collaborators of Satyajit Ambike. A scholar is included among the top collaborators of Satyajit Ambike 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 Satyajit Ambike. Satyajit Ambike 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 26 | |
| 15 | 64 | |
| 16 | 25 | |
| 17 | 18 | |
| 18 | 63 | |
| 19 | Characteristics of Spatial Human Arm Motion and the Kinematic Trajectory Tracking of Similar Serial Chains | 2 |
| 20 | Image of India | 0 |
About Satyajit Ambike
Satyajit Ambike is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Cognitive Neuroscience and Human-Computer Interaction, having authored 43 papers that have together received 609 indexed citations. Recurring topics across this work include Motor Control and Adaptation (28 papers), Muscle activation and electromyography studies (21 papers) and Balance, Gait, and Falls Prevention (13 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (153 citations), Cognitive Neuroscience (437 citations) and Human-Computer Interaction (85 citations). Satyajit Ambike has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Mark L. Latash, Vladimir M. Zatsiorsky, Daniela Mattos, James P. Schmiedeler, Karthik Ramani, Wolfgang Stuerzlinger, Florent Paclet, Shirley Rietdyk, Tarkeshwar Singh and Mechelle M. Lewis. Their work appears in journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.
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.