Matej Hoffmann

1.8k total citations
56 papers, 895 citations indexed

About

Matej Hoffmann is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Matej Hoffmann has authored 56 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 21 papers in Cognitive Neuroscience and 19 papers in Biomedical Engineering. Recurrent topics in Matej Hoffmann's work include Robot Manipulation and Learning (21 papers), Tactile and Sensory Interactions (13 papers) and Robotic Locomotion and Control (12 papers). Matej Hoffmann is often cited by papers focused on Robot Manipulation and Learning (21 papers), Tactile and Sensory Interactions (13 papers) and Robotic Locomotion and Control (12 papers). Matej Hoffmann collaborates with scholars based in Czechia, Italy and United States. Matej Hoffmann's co-authors include Vincent C. Müller, Michal Reinštein, Rolf Pfeifer, Giorgio Metta, Ugo Pattacini, Alejandro Hernández Arieta, Hidenobu Sumioka, Max Lungarella, Hugo Gravato Marques and Alessandro Roncone and has published in prestigious journals such as PLoS ONE, Child Development and IEEE Access.

In The Last Decade

Matej Hoffmann

53 papers receiving 872 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matej Hoffmann Czechia 17 314 288 270 193 164 56 895
Vadim Tikhanoff Italy 17 237 0.8× 331 1.1× 153 0.6× 202 1.0× 268 1.6× 40 856
Ugo Pattacini Italy 18 234 0.7× 510 1.8× 259 1.0× 334 1.7× 254 1.5× 45 1.0k
Eris Chinellato Spain 16 387 1.2× 258 0.9× 180 0.7× 252 1.3× 119 0.7× 45 754
Alexander Stoytchev United States 17 227 0.7× 444 1.5× 161 0.6× 107 0.6× 404 2.5× 41 881
Satoshi Endo Japan 14 335 1.1× 223 0.8× 439 1.6× 208 1.1× 58 0.4× 87 1.1k
Yulia Sandamirskaya Switzerland 19 740 2.4× 142 0.5× 212 0.8× 111 0.6× 423 2.6× 77 1.6k
Wolfram Erlhagen Portugal 20 1.0k 3.2× 344 1.2× 209 0.8× 398 2.1× 274 1.7× 80 1.7k
Lorenzo Jamone United Kingdom 21 670 2.1× 649 2.3× 823 3.0× 186 1.0× 274 1.7× 84 1.6k
Tomas Kulvičius Germany 14 158 0.5× 239 0.8× 201 0.7× 35 0.2× 140 0.9× 55 737
Aaron Edsinger United States 13 185 0.6× 693 2.4× 548 2.0× 210 1.1× 144 0.9× 21 1.2k

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-authorship network of co-authors of Matej Hoffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Matej Hoffmann. A scholar is included among the top collaborators of Matej Hoffmann 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 Matej Hoffmann. Matej Hoffmann 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
1.
Hoffmann, Matej, et al.. (2025). Empirical Comparison of Four Stereoscopic Depth Sensing Cameras for Robotics Applications. IEEE Access. 13. 67564–67577. 1 indexed citations
2.
Hoffmann, Matej, et al.. (2025). Automatic infant 2D pose estimation from videos: Comparing seven deep neural network methods. Behavior Research Methods. 57(10). 280–280. 1 indexed citations
3.
Hoffmann, Matej, et al.. (2024). Path-Constrained Haptic Motion Guidance via Adaptive Phase-Based Admittance Control. IEEE Transactions on Robotics. 41. 1039–1058. 1 indexed citations
4.
Hoffmann, Matej, et al.. (2024). Single-Grasp Deformable Object Discrimination: The Effect of Gripper Morphology, Sensing Modalities, and Action Parameters. IEEE Transactions on Robotics. 40. 4414–4426. 1 indexed citations
5.
Somogyi, Eszter, Tobias Heed, Matej Hoffmann, et al.. (2023). Tactile training facilitates infants' ability to reach to targets on the body. Child Development. 94(3). e154–e165. 1 indexed citations
6.
Kyrki, Ville, et al.. (2022). Active Visuo-Haptic Object Shape Completion. IEEE Robotics and Automation Letters. 7(2). 5254–5261. 16 indexed citations
7.
Noel, Jean‐Paul, et al.. (2022). A normative model of peripersonal space encoding as performing impact prediction. PLoS Computational Biology. 18(9). e1010464–e1010464. 3 indexed citations
8.
Šrámek, Martin, et al.. (2022). Effect of Active and Passive Protective Soft Skins on Collision Forces in Human-robot Collaboration. arXiv (Cornell University). 13 indexed citations
9.
Hoffmann, Matej, et al.. (2021). Multisensorial robot calibration framework and toolbox. 459–466. 6 indexed citations
10.
Rolf, Matthias, et al.. (2021). Goal-Directed Tactile Exploration for Body Model Learning Through Self-Touch on a Humanoid Robot. IEEE Transactions on Cognitive and Developmental Systems. 15(2). 419–433. 14 indexed citations
11.
Hoffmann, Matej, et al.. (2019). Development of Infant Reaching Strategies to Tactile Targets on the Face. Frontiers in Psychology. 10. 9–9. 16 indexed citations
12.
Pattacini, Ugo, et al.. (2018). Merging Physical and Social Interaction for Effective Human-Robot Collaboration. 1–9. 7 indexed citations
13.
Moulin-Frier, Clément, Tobias Fischer, Ugo Pattacini, et al.. (2017). DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. IEEE Transactions on Cognitive and Developmental Systems. 10(4). 1005–1022. 52 indexed citations
14.
Roncone, Alessandro, Matej Hoffmann, Ugo Pattacini, Luciano Fadiga, & Giorgio Metta. (2016). Peripersonal Space and Margin of Safety around the Body: Learning Visuo-Tactile Associations in a Humanoid Robot with Artificial Skin. PLoS ONE. 11(10). e0163713–e0163713. 39 indexed citations
15.
16.
Roncone, Alessandro, Matej Hoffmann, Ugo Pattacini, & Giorgio Metta. (2015). Learning peripersonal space representation through artificial skin for avoidance and reaching with whole body surface. 76. 3366–3373. 11 indexed citations
17.
Hoffmann, Matej, et al.. (2014). The effect of motor action and different sensory modalities on terrain classification in a quadruped robot running with multiple gaits. Robotics and Autonomous Systems. 62(12). 1790–1798. 33 indexed citations
18.
Ramstein, Gilles, et al.. (2011). Gait versatility through morphological changes in a new quadruped robot. Zurich Open Repository and Archive (University of Zurich). 59–60. 2 indexed citations
19.
Reinštein, Michal & Matej Hoffmann. (2011). Dead reckoning in a dynamic quadruped robot: Inertial navigation system aided by a legged odometer. 617–624. 29 indexed citations
20.
Hoffmann, Matej, Nico M. Schmidt, Kohei Nakajima, Fumiya Iida, & Rolf Pfeifer. (2011). Perception, motor learning, and speed adaptation exploiting body dynamics: case studies in a quadruped robot. Zurich Open Repository and Archive (University of Zurich). 39–40. 4 indexed citations

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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