Tomasz Piotr Kucner
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Ocean Engineering
- Co-authors
- Achim J. LilienthalMartin MagnussonErik SchaffernichtLuigi PalmieriVictor Hernandez BennettsJari SaarinenKai O. ArrasTomáš Krajník
- Topics
- Robotics and Sensor-Based Localization (12 papers)Autonomous Vehicle Technology and Safety (9 papers)Video Surveillance and Tracking Methods (8 papers)
In The Last Decade
Tomasz Piotr Kucner
30 papers receiving 288 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 151
- Aerospace Engineering 101
- Automotive Engineering 98
- Artificial Intelligence 69
- Ocean Engineering 40
Countries citing papers authored by Tomasz Piotr Kucner
This map shows the geographic impact of Tomasz Piotr Kucner'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 Tomasz Piotr Kucner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Piotr Kucner more than expected).
Fields of papers citing papers by Tomasz Piotr Kucner
This network shows the impact of papers produced by Tomasz Piotr Kucner. 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 Tomasz Piotr Kucner. The network helps show where Tomasz Piotr Kucner may publish in the future.
Co-authorship network of co-authors of Tomasz Piotr Kucner
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Piotr Kucner. A scholar is included among the top collaborators of Tomasz Piotr Kucner 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 Tomasz Piotr Kucner. Tomasz Piotr Kucner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 16 | |
| 16 | 34 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 11 |
About Tomasz Piotr Kucner
Tomasz Piotr Kucner is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Geology, having authored 33 papers that have together received 294 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Autonomous Vehicle Technology and Safety (9 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Automotive Engineering (98 citations), Computer Vision and Pattern Recognition (151 citations) and Aerospace Engineering (101 citations). Tomasz Piotr Kucner has collaborated with scholars based in Sweden, Finland and Germany. Frequent co-authors include Achim J. Lilienthal, Martin Magnusson, Erik Schaffernicht, Luigi Palmieri, Victor Hernandez Bennetts, Jari Saarinen, Kai O. Arras, Tomáš Krajník, Farzeen Munir and Shoaib Azam. Their work appears in journals such as Sensors, The International Journal of Robotics Research and IEEE Transactions on Intelligent Transportation Systems.
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.