Urszula Markowska–Kaczmar

19 papers and 93 indexed citations i.

About

Urszula Markowska–Kaczmar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Urszula Markowska–Kaczmar has authored 19 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Biomedical Engineering. Recurrent topics in Urszula Markowska–Kaczmar’s work include Fuzzy Logic and Control Systems (4 papers), Evolutionary Algorithms and Applications (3 papers) and Neural Networks and Applications (3 papers). Urszula Markowska–Kaczmar is often cited by papers focused on Fuzzy Logic and Control Systems (4 papers), Evolutionary Algorithms and Applications (3 papers) and Neural Networks and Applications (3 papers). Urszula Markowska–Kaczmar collaborates with scholars based in Poland and Italy. Urszula Markowska–Kaczmar's co-authors include Halina Kwaśnicka, M. H. Karol and Bartosz Krawczyk and has published in prestigious journals such as Information Sciences, Neurocomputing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Urszula Markowska–Kaczmar i

Fields of papers citing papers by Urszula Markowska–Kaczmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urszula Markowska–Kaczmar. 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 Urszula Markowska–Kaczmar. The network helps show where Urszula Markowska–Kaczmar may publish in the future.

Countries citing papers authored by Urszula Markowska–Kaczmar

Since Specialization
Citations

This map shows the geographic impact of Urszula Markowska–Kaczmar'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 Urszula Markowska–Kaczmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urszula Markowska–Kaczmar more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025