Maciej Komosiński

27 papers and 209 indexed citations i.

About

Maciej Komosiński is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Maciej Komosiński has authored 27 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Cognitive Neuroscience. Recurrent topics in Maciej Komosiński’s work include Evolutionary Algorithms and Applications (11 papers), Neuroscience and Music Perception (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Maciej Komosiński is often cited by papers focused on Evolutionary Algorithms and Applications (11 papers), Neuroscience and Music Perception (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Maciej Komosiński collaborates with scholars based in Poland, United Kingdom and Spain. Maciej Komosiński's co-authors include Andrew Adamatzky, Krzysztof Krawiec, Grzegorz Koczyk, Wojciech Jaśkowski, Maciej Hapke, Jarosław Tyszka, Mariusz Urbański, Aleksander Byrski and Marek Kisiel‐Dorohinicki and has published in prestigious journals such as Artificial Intelligence in Medicine, Music Perception An Interdisciplinary Journal and Complexity.

In The Last Decade

Co-authorship network of co-authors of Maciej Komosiński i

Fields of papers citing papers by Maciej Komosiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maciej Komosiński

Since Specialization
Citations

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