Mateusz Koziński
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Medical Image Segmentation Techniques 3
- Human Pose and Action Recognition 3
- Advanced Neural Network Applications 3
-
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Pascal Fua (11 shared papers)Agata Mosinska (4 shared papers)Pablo Márquez-Neila (1 shared paper)Katrin Beyer (3 shared papers)Radhakrishna Achanta (3 shared papers)Fernando Pérez‐Cruz (2 shared papers)Horst Possegger (8 shared papers)Horst Bischof (7 shared papers)
- Journals
- Automation in Construction (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Access (1 paper)Medical Image Analysis (1 paper)Construction and Building Materials (1 paper)
- Partner nations
- AustriaSwitzerlandUnited States
In The Last Decade
Mateusz Koziński
23 papers receiving 565 citations
Peers
Comparison fields: 5 of 96
- Geology 77
- Computer Vision and Pattern Recognition 216
- Biophysics 52
- Environmental Engineering 116
- Media Technology 62
Countries citing papers authored by Mateusz Koziński
This map shows the geographic impact of Mateusz Koziński'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 Mateusz Koziński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Koziński more than expected).
Fields of papers citing papers by Mateusz Koziński
This network shows the impact of papers produced by Mateusz Koziński. 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 Mateusz Koziński. The network helps show where Mateusz Koziński may publish in the future.
Co-authors
The 25 scholars most cited alongside Mateusz Koziński, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 187 | |
| 2 | 2020 | 80 | |
| 3 | 2022 | 58 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 34 | |
| 6 | 2019 | 24 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2014 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2022 | 4 |
About Mateusz Koziński
Mateusz Koziński is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Geology and Ocean Engineering, having authored 26 papers that have together received 576 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), 3D Surveying and Cultural Heritage (5 papers), Medical Image Segmentation Techniques (3 papers), Human Pose and Action Recognition (3 papers), Automated Road and Building Extraction (3 papers), Cell Image Analysis Techniques (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Geology (77 citations), Computer Vision and Pattern Recognition (216 citations), Biophysics (52 citations), Environmental Engineering (116 citations) and Media Technology (62 citations). Mateusz Koziński has collaborated with scholars based in Austria, Switzerland and United States. Frequent co-authors include Pascal Fua, Agata Mosinska, Pablo Márquez-Neila, Katrin Beyer, Radhakrishna Achanta, Fernando Pérez‐Cruz, Horst Possegger, Horst Bischof, Renaud Marlet and Anne‐Florence Bitbol. Their work appears in journals such as Automation in Construction, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access, Medical Image Analysis and Construction and Building Materials.
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.