Marek Kopicki

755 total citations
18 papers, 414 citations indexed

About

Marek Kopicki is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marek Kopicki has authored 18 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 6 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marek Kopicki's work include Robot Manipulation and Learning (16 papers), Robotic Mechanisms and Dynamics (8 papers) and Soft Robotics and Applications (4 papers). Marek Kopicki is often cited by papers focused on Robot Manipulation and Learning (16 papers), Robotic Mechanisms and Dynamics (8 papers) and Soft Robotics and Applications (4 papers). Marek Kopicki collaborates with scholars based in United Kingdom, Austria and Germany. Marek Kopicki's co-authors include Rustam Stolkin, Jeremy Wyatt, Maxime Adjigble, Aleš Leonardis, Renaud Detry, Yasemin Bekiroglu, Naresh Marturi, Alireza Rastegarpanah, Thomas Mörwald and Vijaykumar Rajasekaran and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.

In The Last Decade

Marek Kopicki

17 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Kopicki United Kingdom 11 322 173 138 90 80 18 414
Zhixing Xue Germany 11 309 1.0× 149 0.9× 173 1.3× 71 0.8× 54 0.7× 24 409
Avishai Sintov Israel 12 270 0.8× 210 1.2× 138 1.0× 112 1.2× 35 0.4× 44 457
Xavi Gratal Sweden 7 414 1.3× 202 1.2× 179 1.3× 151 1.7× 52 0.7× 8 549
Adrià Colomé Spain 11 349 1.1× 178 1.0× 103 0.7× 101 1.1× 98 1.2× 32 449
Advait Jain United States 10 306 1.0× 161 0.9× 147 1.1× 111 1.2× 65 0.8× 12 433
Kai Huebner Sweden 11 474 1.5× 194 1.1× 240 1.7× 59 0.7× 114 1.4× 22 583
Akshara Rai United States 12 222 0.7× 156 0.9× 129 0.9× 49 0.5× 120 1.5× 23 378
Jonathan Weisz United States 8 314 1.0× 229 1.3× 57 0.4× 66 0.7× 54 0.7× 12 371
Yuzhe Qin United States 10 252 0.8× 109 0.6× 147 1.1× 54 0.6× 82 1.0× 21 390
Alexander Bierbaum Germany 9 436 1.4× 321 1.9× 181 1.3× 76 0.8× 82 1.0× 12 599

Countries citing papers authored by Marek Kopicki

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kopicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Kopicki

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

All Works

18 of 18 papers shown
1.
Kopicki, Marek, et al.. (2024). Underactuated Dexterous Robotic Grasping With Reconfigurable Passive Joints. IEEE Robotics and Automation Letters. 10(1). 48–55.
2.
Marturi, Naresh, Marek Kopicki, Alireza Rastegarpanah, et al.. (2018). Dynamic grasp and trajectory planning for moving objects. Autonomous Robots. 43(5). 1241–1256. 64 indexed citations
3.
Kopicki, Marek, et al.. (2016). Learning modular and transferable forward models of the motions of push manipulated objects. Autonomous Robots. 41(5). 1061–1082. 25 indexed citations
4.
E., Amir M. Ghalamzan, et al.. (2016). Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories. Lincoln Repository (University of Lincoln). 907–914. 18 indexed citations
5.
E., Amir M. Ghalamzan, et al.. (2016). Analysis of the inertia and dynamics of grasped objects, for choosing optimal grasps to enable torque-efficient post-grasp manipulations. University of Birmingham Research Portal (University of Birmingham). 171–178. 18 indexed citations
6.
Marturi, Naresh, Alireza Rastegarpanah, Chie Takahashi, et al.. (2016). Towards advanced robotic manipulation for nuclear decommissioning: A pilot study on tele-operation and autonomy. University of Birmingham Research Portal (University of Birmingham). 1–8. 54 indexed citations
7.
Wyatt, Jeremy, et al.. (2016). Active vision for dexterous grasping of novel objects. arXiv (Cornell University). 2881–2888. 21 indexed citations
8.
Kopicki, Marek, et al.. (2015). Predicting workpiece motions under pushing manipulations using the principle of minimum energy. 3 indexed citations
9.
Kopicki, Marek & Jeremy Wyatt. (2015). One shot contact learning. 1 indexed citations
10.
Kopicki, Marek, Renaud Detry, Maxime Adjigble, et al.. (2015). One-shot learning and generation of dexterous grasps for novel objects. The International Journal of Robotics Research. 35(8). 959–976. 73 indexed citations
11.
Kopicki, Marek, Renaud Detry, Florian Schmidt, et al.. (2014). Learning dexterous grasps that generalise to novel objects by combining hand and contact models. University of Birmingham Research Portal (University of Birmingham). 37. 5358–5365. 25 indexed citations
12.
Belter, Dominik, et al.. (2014). Kinematically optimised predictions of object motion. University of Birmingham Research Portal (University of Birmingham). 21. 4422–4427. 3 indexed citations
13.
Kopicki, Marek, Rustam Stolkin, Christoph Borst, et al.. (2013). Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty. elib (German Aerospace Center). 4013–4020. 10 indexed citations
14.
Stolkin, Rustam, et al.. (2012). Two-level RRT planning for robotic push manipulation. University of Birmingham Research Portal (University of Birmingham). 678–685. 31 indexed citations
15.
Stolkin, Rustam, et al.. (2012). Exploratory reach-to-grasp trajectories for uncertain object poses. 2 indexed citations
16.
Mörwald, Thomas, Marek Kopicki, Rustam Stolkin, et al.. (2011). Predicting the unobservable Visual 3D tracking with a probabilistic motion model. University of Birmingham Research Portal (University of Birmingham). 1849–1855. 9 indexed citations
17.
Kopicki, Marek, et al.. (2011). Learning to predict how rigid objects behave under simple manipulation. University of Birmingham Research Portal (University of Birmingham). 5722–5729. 46 indexed citations
18.
Kopicki, Marek, Jeremy Wyatt, & Rustam Stolkin. (2009). Prediction learning in robotic pushing manipulation. 1–6. 11 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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