Mateusz Koziński
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 3
-
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Pascal Fua (8 shared papers)Agata Mosinska (3 shared papers)Pablo Márquez-Neila (1 shared paper)Katrin Beyer (3 shared papers)Radhakrishna Achanta (3 shared papers)Fernando Pérez‐Cruz (2 shared papers)Vojislav Gligorovski (1 shared paper)Anne‐Florence Bitbol (1 shared paper)
- Journals
- Automation in Construction (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Nature Communications (1 paper)Medical Image Analysis (1 paper)Construction and Building Materials (1 paper)
- Partner nations
- AustriaSwitzerlandUnited States
In The Last Decade
Mateusz Koziński
17 papers receiving 445 citations
Peers
Comparison fields: 5 of 92
- Geology 60
- Biophysics 48
- Computer Vision and Pattern Recognition 156
- Media Technology 63
- Environmental Engineering 99
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 162 | |
| 2 | 2020 | 75 | |
| 3 | 2022 | 48 | |
| 4 | 2022 | 39 | |
| 5 | 2021 | 29 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
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 19 papers that have together received 455 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (4 papers), Remote Sensing and LiDAR Applications (4 papers), Robotics and Sensor-Based Localization (3 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Human Pose and Action Recognition (3 papers), Cell Image Analysis Techniques (2 papers) and Infrastructure Maintenance and Monitoring (2 papers). The work is most often cited by research in Geology (60 citations), Biophysics (48 citations), Computer Vision and Pattern Recognition (156 citations), Media Technology (63 citations) and Environmental Engineering (99 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, Vojislav Gligorovski, Anne‐Florence Bitbol, Horst Possegger and Martin Weigert. Their work appears in journals such as Automation in Construction, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Communications, 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.