Andrzej Skalski

38 papers and 327 indexed citations i.

About

Andrzej Skalski is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Andrzej Skalski has authored 38 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Andrzej Skalski’s work include Medical Image Segmentation Techniques (12 papers), AI in cancer detection (8 papers) and Anatomy and Medical Technology (8 papers). Andrzej Skalski is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), AI in cancer detection (8 papers) and Anatomy and Medical Technology (8 papers). Andrzej Skalski collaborates with scholars based in Poland, United States and Italy. Andrzej Skalski's co-authors include Marek Wodziński, Daria Hemmerling, Janusz Gajda, Elmar Nöth, Juan Rafael Orozco‐Arroyave, Tomasz P. Zieliński, Ryszard Tadeusiewicz, Paweł Turcza, Tom Marchant and Bogdan J. Matuszewski and has published in prestigious journals such as Sensors, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Andrzej Skalski i

Fields of papers citing papers by Andrzej Skalski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrzej Skalski. 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 Andrzej Skalski. The network helps show where Andrzej Skalski may publish in the future.

Countries citing papers authored by Andrzej Skalski

Since Specialization
Citations

This map shows the geographic impact of Andrzej Skalski'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 Andrzej Skalski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Skalski 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.

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