Tomasz Andrysiak
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Mechanical Engineering
- Computer Networks and Communications
- Mechanics of Materials
- Co-authors
- Michał ChoraśKrzysztof PałczyńskiDariusz SkibickiŁukasz PejkowskiRyszard S. ChoraśPiotr BełdowskiDamian LedzińskiAdam Gadomski
- Topics
- Anomaly Detection Techniques and Applications (10 papers)ECG Monitoring and Analysis (3 papers)Complex Systems and Time Series Analysis (3 papers)
- Partner nations
- PolandUnited States
In The Last Decade
Tomasz Andrysiak
19 papers receiving 232 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 89
- Artificial Intelligence 67
- Mechanical Engineering 43
- Computer Networks and Communications 39
- Mechanics of Materials 30
Countries citing papers authored by Tomasz Andrysiak
This map shows the geographic impact of Tomasz Andrysiak'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 Andrysiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Andrysiak more than expected).
Fields of papers citing papers by Tomasz Andrysiak
This network shows the impact of papers produced by Tomasz Andrysiak. 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 Andrysiak. The network helps show where Tomasz Andrysiak may publish in the future.
Co-authorship network of co-authors of Tomasz Andrysiak
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Andrysiak. A scholar is included among the top collaborators of Tomasz Andrysiak 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 Andrysiak. Tomasz Andrysiak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | Flame detection based on infrared images | 0 |
| 17 | 4 | |
| 18 | 28 | |
| 19 | Algorithm for stereovision disparity calculation in the moment space | 2 |
| 20 | Image retrieval based on hierarchical Gabor filters | 68 |
About Tomasz Andrysiak
Tomasz Andrysiak is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Media Technology, having authored 22 papers that have together received 255 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), ECG Monitoring and Analysis (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Media Technology (24 citations) and Artificial Intelligence (67 citations). Tomasz Andrysiak has collaborated with scholars based in Poland and United States. Frequent co-authors include Michał Choraś, Krzysztof Pałczyński, Dariusz Skibicki, Łukasz Pejkowski, Ryszard S. Choraś, Piotr Bełdowski, Damian Ledziński, Adam Gadomski, Rafał Kozik and Wayne K. Augé. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Polymers.
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.