Daniel Kostrzewa
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Control and Systems Engineering
- Co-authors
- Michał KawulokJakub NalepaDariusz MrozekPaweł KasprowskiStanisław KozielskiBożena Małysiak-MrozekMichał MyllerJacek Andrzejewski
- Topics
- Advanced Image Processing Techniques (11 papers)Advanced Image Fusion Techniques (10 papers)Music and Audio Processing (8 papers)
In The Last Decade
Daniel Kostrzewa
32 papers receiving 304 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 151
- Media Technology 98
- Artificial Intelligence 80
- Signal Processing 51
- Control and Systems Engineering 25
Countries citing papers authored by Daniel Kostrzewa
This map shows the geographic impact of Daniel Kostrzewa'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 Daniel Kostrzewa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kostrzewa more than expected).
Fields of papers citing papers by Daniel Kostrzewa
This network shows the impact of papers produced by Daniel Kostrzewa. 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 Daniel Kostrzewa. The network helps show where Daniel Kostrzewa may publish in the future.
Co-authorship network of co-authors of Daniel Kostrzewa
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kostrzewa. A scholar is included among the top collaborators of Daniel Kostrzewa 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 Daniel Kostrzewa. Daniel Kostrzewa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 27 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 73 | |
| 14 | 3 | |
| 15 | 24 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | Modelowanie struktury geometrycznej powierzchni z zastosowaniem sieci neuronowych | 0 |
| 20 | Verification of the Search Space Exploration Strategy Based on the Solutions of the Join Ordering Problem. | 1 |
About Daniel Kostrzewa
Daniel Kostrzewa is a scholar working on Media Technology, Signal Processing and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (11 papers), Advanced Image Fusion Techniques (10 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Media Technology (98 citations), Computer Vision and Pattern Recognition (151 citations) and Signal Processing (51 citations). Daniel Kostrzewa has collaborated with scholars based in Poland, Italy and Ukraine. Frequent co-authors include Michał Kawulok, Jakub Nalepa, Dariusz Mrozek, Paweł Kasprowski, Stanisław Kozielski, Bożena Małysiak-Mrozek, Michał Myller, Jacek Andrzejewski, Henryk Josiński and P. S. Rokita. Their work appears in journals such as Sensors, Applied Sciences and IEEE Geoscience and Remote Sensing Letters.
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.