Artur Przelaskowski

33 papers and 180 indexed citations i.

About

Artur Przelaskowski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Artur Przelaskowski has authored 33 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Artur Przelaskowski’s work include Advanced Data Compression Techniques (10 papers), Image and Signal Denoising Methods (10 papers) and AI in cancer detection (5 papers). Artur Przelaskowski is often cited by papers focused on Advanced Data Compression Techniques (10 papers), Image and Signal Denoising Methods (10 papers) and AI in cancer detection (5 papers). Artur Przelaskowski collaborates with scholars based in Poland, Saudi Arabia and Canada. Artur Przelaskowski's co-authors include Katarzyna Sklinda, Jerzy Walecki, Przemysław Biecek, Anna Wróblewska, Bartosz Mruk, Mikołaj Leszczuk, Paweł Grieb, Mariusz Duplaga, Z. Papir and Mohammed Alqarni and has published in prestigious journals such as IEEE Communications Magazine, Sensors and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Artur Przelaskowski i

Fields of papers citing papers by Artur Przelaskowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Artur Przelaskowski

Since Specialization
Citations

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