Marko Munih
Impact in
- Rehabilitation top 0.2%
- Stroke Rehabilitation and Recovery
-
- Balance, Gait, and Falls Prevention
Papers in
-
- Muscle activation and electromyography studies 78
- Prosthetics and Rehabilitation Robotics 30
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- Stroke Rehabilitation and Recovery 51
- Co-authors
- Matjaž Mihelj (52 shared papers)Domen Novak (23 shared papers)Janez Podobnik (28 shared papers)A. Kralj (10 shared papers)Roman Kamnik (24 shared papers)Nicola Vitiello (19 shared papers)Tadej Bajd (35 shared papers)Nick Donaldson (12 shared papers)
- Journals
- Sensors (12 papers)IEEE Robotics & Automation Magazine (5 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (5 papers)IEEE Transactions on Instrumentation and Measurement (4 papers)Applied Sciences (4 papers)
- Partner nations
- SloveniaItalyUnited Kingdom
In The Last Decade
Marko Munih
174 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 129
- Rehabilitation 844
- Physical Therapy, Sports Therapy and Rehabilitation 473
- Biomedical Engineering 1.8k
- Human-Computer Interaction 210
- Cognitive Neuroscience 607
Countries citing papers authored by Marko Munih
This map shows the geographic impact of Marko Munih'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 Marko Munih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Munih more than expected).
Fields of papers citing papers by Marko Munih
This network shows the impact of papers produced by Marko Munih. 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 Marko Munih. The network helps show where Marko Munih may publish in the future.
Co-authors
The 25 scholars most cited alongside Marko Munih, 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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 246 | |
| 2 | 2012 | 119 | |
| 3 | 1998 | 111 | |
| 4 | 2014 | 104 | |
| 5 | 2001 | 102 | |
| 6 | 2013 | 91 | |
| 7 | 2012 | 75 | |
| 8 | 2012 | 72 | |
| 9 | 2017 | 69 | |
| 10 | 2013 | 67 | |
| 11 | 2020 | 66 | |
| 12 | 1997 | 62 | |
| 13 | 2010 | 62 | |
| 14 | 2011 | 60 | |
| 15 | 2013 | 52 | |
| 16 | 2014 | 52 | |
| 17 | 2010 | 50 | |
| 18 | 2018 | 49 | |
| 19 | 2017 | 48 | |
| 20 | 2006 | 45 |
About Marko Munih
Marko Munih is a scholar working on Biomedical Engineering, Rehabilitation, Cognitive Neuroscience, Mechanical Engineering and Control and Systems Engineering, having authored 184 papers that have together received 3.3k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (78 papers), Stroke Rehabilitation and Recovery (51 papers), Prosthetics and Rehabilitation Robotics (30 papers), EEG and Brain-Computer Interfaces (29 papers), Motor Control and Adaptation (24 papers), Robot Manipulation and Learning (22 papers), Teleoperation and Haptic Systems (16 papers) and Balance, Gait, and Falls Prevention (16 papers). The work is most often cited by research in Rehabilitation (844 citations), Physical Therapy, Sports Therapy and Rehabilitation (473 citations), Biomedical Engineering (1.8k citations), Human-Computer Interaction (210 citations) and Cognitive Neuroscience (607 citations). Marko Munih has collaborated with scholars based in Slovenia, Italy and United Kingdom. Frequent co-authors include Matjaž Mihelj, Domen Novak, Janez Podobnik, A. Kralj, Roman Kamnik, Nicola Vitiello, Tadej Bajd, Nick Donaldson, R.J. Jaeger and Kenneth J. Hunt. Their work appears in journals such as Sensors, IEEE Robotics & Automation Magazine, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Instrumentation and Measurement and Applied Sciences.
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.