Adrian Pîslă
Impact in
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
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- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Soft Robotics and Applications
- Anatomy and Medical Technology
Papers in
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- Prosthetics and Rehabilitation Robotics 10
- Muscle activation and electromyography studies 9
- Soft Robotics and Applications 6
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- Stroke Rehabilitation and Recovery 13
- Co-authors
- Doina Pîslă (27 shared papers)Călin Vaida (22 shared papers)Giuseppe Carbone (6 shared papers)Iosif Bîrlescu (9 shared papers)Nicolae Plitea (9 shared papers)Bogdan Gherman (13 shared papers)Paul Tucan (10 shared papers)Daniela Tarniţă (1 shared paper)
In The Last Decade
Adrian Pîslă
33 papers receiving 193 citations
Peers
Comparison fields: 5 of 63
- Rehabilitation 70
- Biomedical Engineering 101
- Control and Systems Engineering 46
- Health Informatics 2
- Human-Computer Interaction 8
Countries citing papers authored by Adrian Pîslă
This map shows the geographic impact of Adrian Pîslă'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 Adrian Pîslă with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Pîslă more than expected).
Fields of papers citing papers by Adrian Pîslă
This network shows the impact of papers produced by Adrian Pîslă. 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 Adrian Pîslă. The network helps show where Adrian Pîslă may publish in the future.
Co-authors
The 19 scholars most cited alongside Adrian Pîslă, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 30 | |
| 2 | 2019 | 17 | |
| 3 | 2021 | 16 | |
| 4 | 2021 | 15 | |
| 5 | Ranges of motion as basis for robot-assisted poststroke rehabilitation | 2016 | 13 |
| 6 | 2018 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2013 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2008 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2008 | 3 | |
| 20 | 2018 | 3 |
About Adrian Pîslă
Adrian Pîslă is a scholar working on Biomedical Engineering, Rehabilitation, Control and Systems Engineering, Industrial and Manufacturing Engineering and Information Systems, having authored 41 papers that have together received 200 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (13 papers), Robotic Mechanisms and Dynamics (10 papers), Prosthetics and Rehabilitation Robotics (10 papers), Muscle activation and electromyography studies (9 papers), Manufacturing Process and Optimization (6 papers), Soft Robotics and Applications (6 papers), Software Engineering Techniques and Practices (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Rehabilitation (70 citations), Biomedical Engineering (101 citations), Control and Systems Engineering (46 citations), Health Informatics (2 citations) and Human-Computer Interaction (8 citations). Adrian Pîslă has collaborated with scholars based in Romania, Italy and Portugal. Frequent co-authors include Doina Pîslă, Călin Vaida, Giuseppe Carbone, Iosif Bîrlescu, Nicolae Plitea, Bogdan Gherman, Paul Tucan, Daniela Tarniţă, Cristina Veres and Aleksandar Rodić. Their work appears in journals such as Sustainability, Applied Sciences, Journal of Mechanisms and Robotics, IEEE Access and Sensors.
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.