Andrej Gams

2.4k citations
94 papers · 1.9k · h-index 22

Impact in

Papers in

    • Robot Manipulation and Learning 69
    • Robotic Mechanisms and Dynamics 12
    • Prosthetics and Rehabilitation Robotics 24
    • Robotic Locomotion and Control 24
    • Muscle activation and electromyography studies 18
    • Soft Robotics and Applications 15

Andrej Gams

92 papers receiving 1.9k citations

Peers

Andrej Gams
Comparison fields: 5 of 84
  • Control and Systems Engineering 1.4k
  • Rehabilitation 146
  • Biomedical Engineering 1.0k
  • Computer Vision and Pattern Recognition 321
  • Human-Computer Interaction 87
Replace Tadej Petrič with:
Tadej Petrič Slovenia
Luis Sentis United States
Volkan Patoğlu Türkiye
Leonel Rozo Italy
Costas S. Tzafestas Greece
Agostino De Santis Italy
Sven Parusel Germany
C. Karen Liu United States
Xinbo Yu China
Myron A. Diftler United States
Andrej Gams relative to Tadej Petrič Slovenia Tadej Petrič's profile →
Citations per field
00.5×1.5×1.9×
Tadej Petrič · 1×
Citations per year

Countries citing papers authored by Andrej Gams

Since Specialization
Citations

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

Fields of papers citing papers by Andrej Gams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrej Gams, 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 Andrej Gams Line = papers co-authored together Andrej Gams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010311
2 2014173
3 2009146
4 201287
5 201381
6 201174
7 201568
8 201755
9 201753
10 201551
11 201742
12 201042
13 202236
14 202035
15 201830
16 202028
17 201827
18 201827
19 202426
20 201325

About Andrej Gams

Andrej Gams is a scholar working on Control and Systems Engineering, Biomedical Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Rehabilitation, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (69 papers), Prosthetics and Rehabilitation Robotics (24 papers), Robotic Locomotion and Control (24 papers), Muscle activation and electromyography studies (18 papers), Soft Robotics and Applications (15 papers), Motor Control and Adaptation (13 papers), Robotic Mechanisms and Dynamics (12 papers) and Reinforcement Learning in Robotics (10 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Rehabilitation (146 citations), Biomedical Engineering (1.0k citations), Computer Vision and Pattern Recognition (321 citations) and Human-Computer Interaction (87 citations). Andrej Gams has collaborated with scholars based in Slovenia, Switzerland and Germany. Frequent co-authors include Aleš Ude, Jun Morimoto, Auke Jan Ijspeert, Tadej Petrič, Tamim Asfour, Bojan Nemec, Leon Žlajpah, Jadran Lenarčič, Stefan Schaal and Ján Babic. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Robotics, Autonomous Robots, Mechanism and Machine Theory and The International Journal of Robotics Research.

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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