Tomasz Krzeszowski
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Biomedical Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Krzysztof WiktorowiczKrzysztof PrzednówekHenryk JosińskiBogdan KwolekAdam ŚwitońskiKonrad WojciechowskiCarlos T. CalafateJohann M. Márquez-Barja
- Topics
- Fuzzy Logic and Control Systems (8 papers)Neural Networks and Applications (8 papers)Gait Recognition and Analysis (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionPhysical Therapy, Sports Therapy and RehabilitationHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaSensorsInternational Journal of Environmental Research and Public Health
In The Last Decade
Tomasz Krzeszowski
26 papers receiving 227 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 106
- Aerospace Engineering 65
- Biomedical Engineering 60
- Artificial Intelligence 53
- Electrical and Electronic Engineering 25
Countries citing papers authored by Tomasz Krzeszowski
This map shows the geographic impact of Tomasz Krzeszowski'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 Krzeszowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Krzeszowski more than expected).
Fields of papers citing papers by Tomasz Krzeszowski
This network shows the impact of papers produced by Tomasz Krzeszowski. 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 Krzeszowski. The network helps show where Tomasz Krzeszowski may publish in the future.
Co-authorship network of co-authors of Tomasz Krzeszowski
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Krzeszowski. A scholar is included among the top collaborators of Tomasz Krzeszowski 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 Krzeszowski. Tomasz Krzeszowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 60 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | Markerless Articulated Human Body Tracking for Gait Analysis and Recognition | 1 |
About Tomasz Krzeszowski
Tomasz Krzeszowski is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 29 papers that have together received 233 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (8 papers), Neural Networks and Applications (8 papers) and Gait Recognition and Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Physical Therapy, Sports Therapy and Rehabilitation (17 citations) and Human-Computer Interaction (21 citations). Tomasz Krzeszowski has collaborated with scholars based in Poland, Belgium and Spain. Frequent co-authors include Krzysztof Wiktorowicz, Krzysztof Przednówek, Henryk Josiński, Bogdan Kwolek, Adam Świtoński, Konrad Wojciechowski, Carlos T. Calafate, Johann M. Márquez-Barja, Pietro Manzoni and Juan‐Carlos Cano. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.
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.