Marko Munih

4.7k citations
216 papers · 3.7k · h-index 33

Impact in

Papers in

Marko Munih

205 papers receiving 3.6k citations

Peers

Marko Munih
Comparison fields: 5 of 74
  • Rehabilitation 344
  • Biomedical Engineering 1.0k
  • Physical Therapy, Sports Therapy and Rehabilitation 115
  • Control and Systems Engineering 207
  • Computer Vision and Pattern Recognition 162
Replace Rong Song with:
Rong Song China
Alberto Leardini Italy
Matjaž Mihelj Slovenia
Domenico Formica Italy
Xuguang Wang France
William Harwin United Kingdom
Ravi Vaidyanathan United Kingdom
N. Alberto Borghese Italy
Eugenio Guglielmelli Italy
Antonie J. van den Bogert United States
Marko Munih relative to Rong Song China Rong Song's profile →
Citations per field
00.5×2×3.2×
Rong Song · 1×
Citations per year

Countries citing papers authored by Marko Munih

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marko Munih Line = papers co-authored together Marko Munih links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 216 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990261
2 2012144
3 1998113
4 2014111
5 2001107
6 201397
7 201279
8 201279
9 201773
10 202073
11 201172
12 201372
13 201069
14 199764
15 201458
16 201356
17 201055
18 201853
19 201450
20 201749

About Marko Munih

Marko Munih is a scholar working on Rehabilitation, Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering and Pathology and Forensic Medicine, having authored 216 papers that have together received 3.7k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (32 papers), Prosthetics and Rehabilitation Robotics (18 papers), Teleoperation and Haptic Systems (13 papers), Spinal Cord Injury Research (10 papers), Robotic Mechanisms and Dynamics (10 papers), Robot Manipulation and Learning (10 papers), Inertial Sensor and Navigation (8 papers) and Muscle activation and electromyography studies (8 papers). The work is most often cited by research in Rehabilitation (344 citations), Biomedical Engineering (1.0k citations), Physical Therapy, Sports Therapy and Rehabilitation (115 citations), Control and Systems Engineering (207 citations) and Computer Vision and Pattern Recognition (162 citations). Marko Munih has collaborated with scholars based in Slovenia, Italy and United Kingdom. Frequent co-authors include Matjaž Mihelj, Vesna Dominika Novak, Janez Podobnik, Alojz R. Kralj, Tadej Bajd, Roman Kamnik, Nicola Vitiello, R.J. Jaeger, Nick Donaldson and Kenneth James Hunt. Their work appears in journals such as Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Robotics & Automation Magazine, Applied Sciences and IEEE Transactions on Instrumentation and Measurement.

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.

Explore authors with similar magnitude of impact