Marcin Dymczyk
Impact in
-
- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotics and Sensor-Based Localization 15
-
- Advanced Image and Video Retrieval Techniques 10
- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 2
- Co-authors
- Roland Siegwart (17 shared papers)Simon Lynen (8 shared papers)Igor Gilitschenski (8 shared papers)Thomas Schneider (4 shared papers)Marius Fehr (2 shared papers)Titus Cieslewski (3 shared papers)Michael Bosse (2 shared papers)Stéphane Magnenat (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Repository for Publications and Research Data (ETH Zurich) (4 papers)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Marcin Dymczyk
17 papers receiving 456 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 345
- Aerospace Engineering 415
- Geology 86
- Ocean Engineering 48
- Space and Planetary Science 3
Countries citing papers authored by Marcin Dymczyk
This map shows the geographic impact of Marcin Dymczyk'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 Marcin Dymczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Dymczyk more than expected).
Fields of papers citing papers by Marcin Dymczyk
This network shows the impact of papers produced by Marcin Dymczyk. 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 Marcin Dymczyk. The network helps show where Marcin Dymczyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Dymczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2015 | 50 | |
| 3 | 2015 | 40 | |
| 4 | 2016 | 34 | |
| 5 | 2015 | 27 | |
| 6 | 2015 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 16 | |
| 9 | 2016 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2016 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2018 | 1 |
About Marcin Dymczyk
Marcin Dymczyk is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 17 papers that have together received 470 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (15 papers), Advanced Image and Video Retrieval Techniques (10 papers), Indoor and Outdoor Localization Technologies (5 papers), Advanced Vision and Imaging (3 papers), 3D Surveying and Cultural Heritage (2 papers), Advanced Neural Network Applications (2 papers), Video Surveillance and Tracking Methods (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (345 citations), Aerospace Engineering (415 citations), Geology (86 citations), Ocean Engineering (48 citations) and Space and Planetary Science (3 citations). Marcin Dymczyk has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Roland Siegwart, Simon Lynen, Igor Gilitschenski, Thomas Schneider, Marius Fehr, Titus Cieslewski, Michael Bosse, Stéphane Magnenat, Juan Nieto and Paul Furgale. Their work appears in journals such as IEEE Robotics and Automation Letters and Repository for Publications and Research Data (ETH Zurich).
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.