Sai K. Banala
- Biomedical Engineering top 2%
- Rehabilitation top 0.2%
- Pathology and Forensic Medicine top 10%
- Psychiatry and Mental health top 10%
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Co-authors
- Sunil K. AgrawalJohn P. ScholzSeok Hun KimSantosh Kumari AgrawalVijaya KrishnamoorthyWei‐Li HsuAbbas FattahJ. P. Scholz
- Topics
- Prosthetics and Rehabilitation Robotics (16 papers)Muscle activation and electromyography studies (13 papers)Stroke Rehabilitation and Recovery (13 papers)
- Journals
- Experimental Brain ResearchIEEE Transactions on RoboticsIEEE/ASME Transactions on Mechatronics
- Partner nations
- United States
In The Last Decade
Sai K. Banala
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Biomedical Engineering 1.5k
- Rehabilitation 1.0k
- Pathology and Forensic Medicine 170
- Psychiatry and Mental health 156
- Physical Therapy, Sports Therapy and Rehabilitation 114
Countries citing papers authored by Sai K. Banala
This map shows the geographic impact of Sai K. Banala'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 Sai K. Banala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai K. Banala more than expected).
Fields of papers citing papers by Sai K. Banala
This network shows the impact of papers produced by Sai K. Banala. 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 Sai K. Banala. The network helps show where Sai K. Banala may publish in the future.
Co-authorship network of co-authors of Sai K. Banala
This figure shows the co-authorship network connecting the top 25 collaborators of Sai K. Banala. A scholar is included among the top collaborators of Sai K. Banala 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 Sai K. Banala. Sai K. Banala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 125 | |
| 3 | 17 | |
| 4 | Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX)breakdown → | 576 |
| 5 | 32 | |
| 6 | 75 | |
| 7 | A gravity balancing passive exoskeleton for the human leg | 2 |
| 8 | 116 | |
| 9 | 9 | |
| 10 | 240 | |
| 11 | 47 | |
| 12 | 20 | |
| 13 | 17 | |
| 14 | 30 | |
| 15 | 154 | |
| 16 | 39 | |
| 17 | 52 | |
| 18 | 10 | |
| 19 | 36 | |
| 20 | 25 |
About Sai K. Banala
Sai K. Banala is a scholar working on Rehabilitation, Psychiatry and Mental health and Biomedical Engineering, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (16 papers), Muscle activation and electromyography studies (13 papers) and Stroke Rehabilitation and Recovery (13 papers). The work is most often cited by research in Rehabilitation (1.0k citations), Biomedical Engineering (1.5k citations) and Physical Therapy, Sports Therapy and Rehabilitation (114 citations). Sai K. Banala has collaborated with scholars based in United States. Frequent co-authors include Sunil K. Agrawal, John P. Scholz, Seok Hun Kim, Santosh Kumari Agrawal, Vijaya Krishnamoorthy, Wei‐Li Hsu, Abbas Fattah, J. P. Scholz, Vivek Sangwan and Katherine S. Rudolph. Their work appears in journals such as Experimental Brain Research, IEEE Transactions on Robotics and IEEE/ASME Transactions on Mechatronics.
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.