Matej Hoffmann

1.8k citations
56 papers · 895 · h-index 17

Impact in

Papers in

Matej Hoffmann

53 papers receiving 872 citations

Peers

Matej Hoffmann
Comparison fields: 5 of 100
  • Cognitive Neuroscience 314
  • Control and Systems Engineering 288
  • Social Psychology 193
  • Human-Computer Interaction 49
  • Computer Vision and Pattern Recognition 131
Replace Vadim Tikhanoff with:
Vadim Tikhanoff Italy
Alexander Stoytchev United States
Luc Berthouze United Kingdom
Eris Chinellato Spain
Tomas Kulvičius Germany
Ugo Pattacini Italy
Loulin Huang New Zealand
Gökhan İnce Türkiye
Hiroshi Tsujino Japan
Satoshi Endo Japan
Matej Hoffmann relative to Vadim Tikhanoff Italy Vadim Tikhanoff's profile →
Citations per field
00.5×2.5×
Vadim Tikhanoff · 1×
Citations per year

Countries citing papers authored by Matej Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Matej Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010140
2 2017108
3 201856
4 201752
5 201639
6 201433
7 201433
8 201130
9 201129
10 201228
11 201726
12 202124
13 201723
14 201623
15 201720
16 201220
17 202216
18 201916
19 202114
20 201614

About Matej Hoffmann

Matej Hoffmann is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Biomedical Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 895 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (21 papers), Tactile and Sensory Interactions (13 papers), Robotic Locomotion and Control (12 papers), Action Observation and Synchronization (8 papers), Prosthetics and Rehabilitation Robotics (6 papers), Motor Control and Adaptation (6 papers), Neural dynamics and brain function (6 papers) and Social Robot Interaction and HRI (5 papers). The work is most often cited by research in Cognitive Neuroscience (314 citations), Control and Systems Engineering (288 citations), Social Psychology (193 citations), Human-Computer Interaction (49 citations) and Computer Vision and Pattern Recognition (131 citations). Matej Hoffmann has collaborated with scholars based in Czechia, Italy and United States. Frequent co-authors include Vincent C. Müller, Michal Reinštein, Rolf Pfeifer, Giorgio Metta, Ugo Pattacini, Alejandro Hernández Arieta, Hugo Gravato Marques, Hidenobu Sumioka, Max Lungarella and Alessandro Roncone. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Robotics, Robotics and Autonomous Systems, The International Journal of Advanced Manufacturing Technology and British Journal of Developmental Psychology.

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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