Marcin Zalasiński
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Information Systems
- Media Technology top 10%
- Co-authors
- Krzysztof CpałkaLeszek RutkowskiKrystian ŁapaAndrzej PrzybyłŁukasz LaskowskiMagdalena LaskowskaPaweł KowalczykAnna Witkowska
- Topics
- Handwritten Text Recognition Techniques (5 papers)Image Processing and 3D Reconstruction (5 papers)Image Retrieval and Classification Techniques (5 papers)
- Partner nations
- PolandUnited StatesChina
In The Last Decade
Marcin Zalasiński
17 papers receiving 233 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 112
- Signal Processing 45
- Information Systems 44
- Media Technology 31
Countries citing papers authored by Marcin Zalasiński
This map shows the geographic impact of Marcin Zalasiński'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 Marcin Zalasiński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Zalasiński more than expected).
Fields of papers citing papers by Marcin Zalasiński
This network shows the impact of papers produced by Marcin Zalasiński. 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 Marcin Zalasiński. The network helps show where Marcin Zalasiński may publish in the future.
Co-authorship network of co-authors of Marcin Zalasiński
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Zalasiński. A scholar is included among the top collaborators of Marcin Zalasiński 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 Marcin Zalasiński. Marcin Zalasiński 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 | 2 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 47 | |
| 14 | 40 | |
| 15 | 48 | |
| 16 | 34 | |
| 17 | A new method of on-line signature verification using a flexible fuzzy one-class classifier | 1 |
About Marcin Zalasiński
Marcin Zalasiński is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 246 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Signal Processing (45 citations) and Media Technology (31 citations). Marcin Zalasiński has collaborated with scholars based in Poland, United States and China. Frequent co-authors include Krzysztof Cpałka, Leszek Rutkowski, Krystian Łapa, Andrzej Przybył, Łukasz Laskowski, Magdalena Laskowska, Paweł Kowalczyk, Anna Witkowska, Takayuki Ishikawa and Gary G. Yen. Their work appears in journals such as International Journal of Molecular Sciences, Expert Systems with Applications and IEEE Access.
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.