Andrej Gams

2.4k citations
73 papers · 1.7k · h-index 21

Impact in

Papers in

    • Robot Manipulation and Learning 52
    • Robotic Mechanisms and Dynamics 7
    • Robotic Locomotion and Control 21
    • Prosthetics and Rehabilitation Robotics 19
    • Muscle activation and electromyography studies 14
    • Soft Robotics and Applications 10

Andrej Gams

72 papers receiving 1.6k citations

Peers

Andrej Gams
Comparison fields: 5 of 76
  • Control and Systems Engineering 1.2k
  • Rehabilitation 133
  • Biomedical Engineering 899
  • Human-Computer Interaction 80
  • Computer Vision and Pattern Recognition 266
Replace Tadej Petrič with:
Tadej Petrič Slovenia
Luis Sentis United States
Scott Kuindersma United States
Volkan Patoğlu Türkiye
Leonel Rozo Italy
Fanny Ficuciello Italy
Agostino De Santis Italy
Costas S. Tzafestas Greece
Nikolaus Vahrenkamp Germany
Sven Parusel Germany
Andrej Gams relative to Tadej Petrič Slovenia Tadej Petrič's profile →
Citations per field
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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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010272
2 2014157
3 2009136
4 201274
5 201371
6 201169
7 201563
8 201747
9 201747
10 201545
11 201741
12 201037
13 202232
14 202032
15 201827
16 201826
17 202026
18 201823
19 201322
20 201320

About Andrej Gams

Andrej Gams is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (52 papers), Robotic Locomotion and Control (21 papers), Prosthetics and Rehabilitation Robotics (19 papers), Muscle activation and electromyography studies (14 papers), Motor Control and Adaptation (11 papers), Soft Robotics and Applications (10 papers), Human Pose and Action Recognition (9 papers) and Robotic Mechanisms and Dynamics (7 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Rehabilitation (133 citations), Biomedical Engineering (899 citations), Human-Computer Interaction (80 citations) and Computer Vision and Pattern Recognition (266 citations). Andrej Gams has collaborated with scholars based in Slovenia, Switzerland and Germany. Frequent co-authors include Aleš Ude, Jun Morimoto, Auke Jan Ijspeert, Tamim Asfour, Bojan Nemec, Tadej Petrič, Jadran Lenarčič, Leon Žlajpah, Stefan Schaal and Aljaž Kramberger. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Robotics, Autonomous Robots, Robotica and Mechanism and Machine Theory.

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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