Matjaž Mihelj

2.9k citations
71 papers · 2.0k indexed · h-index 23
Topics
Stroke Rehabilitation and Recovery (32 papers)Muscle activation and electromyography studies (21 papers)EEG and Brain-Computer Interfaces (15 papers)
Partner nations
SloveniaSwitzerlandItaly

In The Last Decade

Matjaž Mihelj

68 papers receiving 1.9k citations

Peers

Matjaž Mihelj
Comparison fields: 5 of 112
  • Rehabilitation 1.2k
  • Biomedical Engineering 1.0k
  • Cognitive Neuroscience 510
  • Neurology 230
  • Human-Computer Interaction 222
Replace Laura Marchal–Crespo with:
Laura Marchal–Crespo Switzerland
Domen Novak United States
William Harwin United Kingdom
Georg Rauter Switzerland
Marko Munih Slovenia
Denis Mottet France
Loredana Zollo Italy
Corina Schuster‐Amft Switzerland
S. V. Adamovich United States
Eloy Opisso Spain
Matjaž Mihelj relative to Laura Marchal–Crespo Switzerland Laura Marchal–Crespo's profile →
Citations per field
00.5×1.5×
Laura Marchal–Crespo · 1×
Citations per year

Countries citing papers authored by Matjaž Mihelj

Since Specialization
Citations

This map shows the geographic impact of Matjaž Mihelj'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 Matjaž Mihelj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matjaž Mihelj more than expected).

Fields of papers citing papers by Matjaž Mihelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matjaž Mihelj. 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 Matjaž Mihelj. The network helps show where Matjaž Mihelj may publish in the future.

Co-authorship network of co-authors of Matjaž Mihelj

This figure shows the co-authorship network connecting the top 25 collaborators of Matjaž Mihelj. A scholar is included among the top collaborators of Matjaž Mihelj 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 Matjaž Mihelj. Matjaž Mihelj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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14 59
15 62
16 310
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18 126
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Assessment of stroke patients by whole-body isometric force-torque measurements II: software design of the ALLADIN Diagnostic Device
1
20 15

About Matjaž Mihelj

Matjaž Mihelj is a scholar working on Rehabilitation, Human-Computer Interaction and Cognitive Neuroscience, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (32 papers), Muscle activation and electromyography studies (21 papers) and EEG and Brain-Computer Interfaces (15 papers). The work is most often cited by research in Rehabilitation (1.2k citations), Human-Computer Interaction (222 citations) and Cognitive Neuroscience (510 citations). Matjaž Mihelj has collaborated with scholars based in Slovenia, Switzerland and Italy. Frequent co-authors include Robert Riener, Tobias Nef, Marko Munih, Domen Novak, Janez Podobnik, Andrej Olenšek, Samo Beguš, Giorgio Colombo, Roland Müller and Urška Puh. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and Automation in Construction.

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.

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