Martin Do

1.1k citations
24 papers · 716 · h-index 15

Impact in

Papers in

Martin Do

24 papers receiving 693 citations

Peers

Martin Do
Comparison fields: 5 of 69
  • Control and Systems Engineering 470
  • Human-Computer Interaction 91
  • Computer Vision and Pattern Recognition 269
  • Biomedical Engineering 290
  • Physical Therapy, Sports Therapy and Rehabilitation 25
Replace Nadia Figueroa with:
Nadia Figueroa United States
Marcia Riley Japan
Eric L. Sauser Switzerland
R.O. Ambrose United States
Takafumi Matsumaru Japan
Hitoshi Konosu Japan
Mahdi Khoramshahi Switzerland
Felix Burget Germany
Benjamin Navarro France
Florian Schmidt Germany
Martin Do relative to Nadia Figueroa United States Nadia Figueroa's profile →
Citations per field
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Nadia Figueroa · 1×
Citations per year

Countries citing papers authored by Martin Do

Since Specialization
Citations

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

Fields of papers citing papers by Martin Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015139
2 201681
3 200854
4 201448
5 201047
6 199946
7 201545
8 201037
9 201231
10 201425
11 201024
12 201516
13 201215
14 201615
15 201514
16 201612
17 200912
18
Generation of Human-like Motion for Humanoid Robots Based on Marker-based Motion Capture Data
201011
19
Recognition of individual kinematic patterns during walking and running - a comparison of artificial neural networks and support vector machines
201110
20 201110

About Martin Do

Martin Do is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology, having authored 24 papers that have together received 716 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Robotic Locomotion and Control (13 papers), Human Motion and Animation (5 papers), Human Pose and Action Recognition (5 papers), Reinforcement Learning in Robotics (4 papers), Robotic Path Planning Algorithms (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Social Robot Interaction and HRI (2 papers). The work is most often cited by research in Control and Systems Engineering (470 citations), Human-Computer Interaction (91 citations), Computer Vision and Pattern Recognition (269 citations), Biomedical Engineering (290 citations) and Physical Therapy, Sports Therapy and Rehabilitation (25 citations). Martin Do has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Tamim Asfour, Nikolaus Vahrenkamp, Ömer Terlemez, Christian Mandery, Rüdiger Dillmann, Pedram Azad, Aleš Ude, Joel M. Harp, Andrej Gams and Stefan Ulbrich. Their work appears in journals such as Bulletin of Entomological Research, Robotics and Autonomous Systems, Machine Vision and Applications, Automation in Construction and IEEE Transactions on Robotics.

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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