Tomasz Praczyk

58 papers and 286 indexed citations i.

About

Tomasz Praczyk is a scholar working on Artificial Intelligence, Ocean Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomasz Praczyk has authored 58 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Ocean Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomasz Praczyk’s work include Evolutionary Algorithms and Applications (15 papers), Underwater Vehicles and Communication Systems (13 papers) and Neural Networks and Applications (12 papers). Tomasz Praczyk is often cited by papers focused on Evolutionary Algorithms and Applications (15 papers), Underwater Vehicles and Communication Systems (13 papers) and Neural Networks and Applications (12 papers). Tomasz Praczyk collaborates with scholars based in Poland and United States. Tomasz Praczyk's co-authors include Piotr Szymak and Krzysztof Naus and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Tomasz Praczyk i

Fields of papers citing papers by Tomasz Praczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomasz Praczyk

Since Specialization
Citations

This map shows the geographic impact of Tomasz Praczyk'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 Tomasz Praczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Praczyk 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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2025