Marek Kopicki
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Rustam StolkinJeremy WyattMaxime AdjigbleAleš LeonardisRenaud DetryYasemin BekirogluNaresh MarturiAlireza Rastegarpanah
- Topics
- Robot Manipulation and Learning (16 papers)Robotic Mechanisms and Dynamics (8 papers)Soft Robotics and Applications (4 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- The International Journal of Robotics ResearchAutonomous RobotsIEEE Robotics and Automation Letters
- Partner nations
- United KingdomAustriaGermany
In The Last Decade
Marek Kopicki
17 papers receiving 401 citations
Peers
Comparison fields: 5 of 40
- Control and Systems Engineering 322
- Biomedical Engineering 173
- Computer Vision and Pattern Recognition 138
- Mechanical Engineering 90
- Artificial Intelligence 80
Countries citing papers authored by Marek Kopicki
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 64 | |
| 3 | 25 | |
| 4 | 18 | |
| 5 | 18 | |
| 6 | 54 | |
| 7 | 21 | |
| 8 | Predicting workpiece motions under pushing manipulations using the principle of minimum energy | 3 |
| 9 | One shot contact learning | 1 |
| 10 | 73 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 31 | |
| 15 | Exploratory reach-to-grasp trajectories for uncertain object poses | 2 |
| 16 | 9 | |
| 17 | 46 | |
| 18 | Prediction learning in robotic pushing manipulation | 11 |
About Marek Kopicki
Marek Kopicki is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 414 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (16 papers), Robotic Mechanisms and Dynamics (8 papers) and Soft Robotics and Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (322 citations), Computer Vision and Pattern Recognition (138 citations) and Human-Computer Interaction (32 citations). Marek Kopicki has collaborated with scholars based in United Kingdom, Austria and Germany. Frequent co-authors include Rustam Stolkin, Jeremy Wyatt, Maxime Adjigble, Aleš Leonardis, Renaud Detry, Yasemin Bekiroglu, Naresh Marturi, Alireza Rastegarpanah, Thomas Mörwald and Vijaykumar Rajasekaran. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.
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.