Martin Do

1.1k total citations
24 papers, 705 citations indexed

About

Martin Do is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Do has authored 24 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 14 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Do's work include Robot Manipulation and Learning (14 papers), Robotic Locomotion and Control (13 papers) and Human Pose and Action Recognition (5 papers). Martin Do is often cited by papers focused on Robot Manipulation and Learning (14 papers), Robotic Locomotion and Control (13 papers) and Human Pose and Action Recognition (5 papers). Martin Do collaborates with scholars based in Germany, United States and United Kingdom. Martin Do's co-authors include Tamim Asfour, Nikolaus Vahrenkamp, Ömer Terlemez, Christian Mandery, Rüdiger Dillmann, Pedram Azad, Joel M. Harp, Aleš Ude, Andrej Gams and Stefan Ulbrich and has published in prestigious journals such as Automation in Construction, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Martin Do

24 papers receiving 681 citations

Peers

Martin Do

CSE

BE

CVPR

AI

HI

Marcia Riley Japan

Nadia Figueroa United States

Eric L. Sauser Switzerland

Sebastian Starke United Kingdom

Shunichi Nozawa Japan

Cary B. Phillips United States

Florian Schmidt Germany

Mahdi Khoramshahi Switzerland

Koji Terada Japan

P. Azad Germany

Marcia Riley Japan

Martin Do

633 ×1.4

CSE

399 ×1.4

BE

318 ×1.2

CVPR

116 ×1.0

AI

102 ×1.1

HI

Citations per year, relative to Martin Do Martin Do (= 1×) peers Marcia Riley

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-authorship network of co-authors of Martin Do

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Do. A scholar is included among the top collaborators of Martin Do 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 Martin Do. Martin Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Tran, Dai Quoc, Armstrong Aboah, Martin Do, et al.. (2025). Visual Question Answering-based Referring Expression Segmentation for construction safety analysis. Automation in Construction. 174. 106127–106127. 1 indexed citations

2.

Mandery, Christian, Ömer Terlemez, Martin Do, Nikolaus Vahrenkamp, & Tamim Asfour. (2016). Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion. IEEE Transactions on Robotics. 32(4). 796–809. 78 indexed citations

3.

Zhou, You, Martin Do, & Tamim Asfour. (2016). Learning and force adaptation for interactive actions. 1129–1134. 5 indexed citations

4.

Zhou, You, Martin Do, & Tamim Asfour. (2016). Coordinate Change Dynamic Movement Primitives — A leader-follower approach. 5481–5488. 11 indexed citations

5.

Mandery, Christian, Ömer Terlemez, Martin Do, Nikolaus Vahrenkamp, & Tamim Asfour. (2015). The KIT whole-body human motion database. 329–336. 136 indexed citations

6.

Kaiser, Peter, et al.. (2015). Validation of whole-body loco-manipulation affordances for pushability and liftability. 920–927. 16 indexed citations

7.

Gams, Andrej, Tadej Petrič, Martin Do, et al.. (2015). Adaptation and coaching of periodic motion primitives through physical and visual interaction. Robotics and Autonomous Systems. 75. 340–351. 45 indexed citations

8.

Trovato, Gabriele, Massimiliano Zecca, Martin Do, et al.. (2015). A Novel Greeting Selection System for a Culture-Adaptive Humanoid Robot. International Journal of Advanced Robotic Systems. 12(4). 13 indexed citations

9.

Terlemez, Ömer, Stefan Ulbrich, Christian Mandery, et al.. (2014). Master Motor Map (MMM) — Framework and toolkit for capturing, representing, and reproducing human motion on humanoid robots. 894–901. 48 indexed citations

10.

Asfour, Tamim, Nikolaus Vahrenkamp, Martin Do, et al.. (2013). ARMAR-III: Advances in Humanoid Grasping and Manipulation. Journal of the Robotics Society of Japan. 31(4). 341–346. 7 indexed citations

11.

Righetti, Ludovic, et al.. (2012). Encoding of periodic and their transient motions by a single dynamic movement primitive. 57–64. 31 indexed citations

12.

Fischer, Andreas, Martin Do, Thorsten Stein, et al.. (2011). Recognition of individual kinematic patterns during walking and running - a comparison of artificial neural networks and support vector machines. 10(1). 63. 10 indexed citations

13.

Do, Martin, Tamim Asfour, & Rüdiger Dillmann. (2011). Particle Filter-Based Fingertip Tracking with Circular Hough Transform Features. Machine Vision and Applications. 471–474. 9 indexed citations

14.

Do, Martin, Tamim Asfour, & Rüdiger Dillmann. (2011). Towards a unifying grasp representation for imitation learning on humanoid robots. 482–488. 10 indexed citations

15.

Do, Martin, et al.. (2010). Generation of Human-like Motion for Humanoid Robots Based on Marker-based Motion Capture Data. 1–8. 11 indexed citations

16.

Vahrenkamp, Nikolaus, et al.. (2010). Integrated Grasp and motion planning. 2883–2888. 47 indexed citations

17.

Gams, Andrej, Martin Do, Aleš Ude, Tamim Asfour, & Rüdiger Dillmann. (2010). On-line periodic movement and force-profile learning for adaptation to new surfaces. 560–565. 37 indexed citations

18.

Do, Martin, Javier Romero, Hedvig Kjellström, et al.. (2009). Grasp recognition and mapping on humanoid robots. 465–471. 11 indexed citations

19.

Do, Martin, Pedram Azad, Tamim Asfour, & Rüdiger Dillmann. (2008). Imitation of human motion on a humanoid robot using non-linear optimization. 545–552. 54 indexed citations

20.

Do, Martin, et al.. (1999). A test of a pattern recognition system for identification of spiders. Bulletin of Entomological Research. 89(3). 217–224. 48 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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