Rafał Kuś

47 total papers · 1.5k total citations
28 papers, 1.2k citations indexed

About

Rafał Kuś is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rafał Kuś has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 7 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Rafał Kuś's work include EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (6 papers). Rafał Kuś is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (6 papers). Rafał Kuś collaborates with scholars based in Poland, United States and Germany. Rafał Kuś's co-authors include Katarzyna J. Blinowska, Maciej Kamiński, Piotr Durka, Nathan E. Crone, Piotr J. Franaszczuk, Anna Korzeniewska, Ciprian M. Crainiceanu, Jarosław Żygierewicz, Piotr Suffczyński and Magdalena Michalska and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Rafał Kuś

26 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rafał Kuś 1.0k 264 149 86 75 28 1.2k
Trent Lewis 872 0.8× 216 0.8× 160 1.1× 52 0.6× 32 0.4× 40 1.1k
Z.J. Koles 728 0.7× 178 0.7× 272 1.8× 71 0.8× 47 0.6× 34 1.1k
Michal Teplan 902 0.9× 223 0.8× 153 1.0× 79 0.9× 77 1.0× 28 1.2k
Cristian Grozea 587 0.6× 347 1.3× 63 0.4× 189 2.2× 97 1.3× 30 952
Gernot G. Supp 1.0k 1.0× 280 1.1× 79 0.5× 48 0.6× 97 1.3× 17 1.1k
Tiejun Liu 1.0k 1.0× 324 1.2× 198 1.3× 60 0.7× 137 1.8× 71 1.2k
Vojkan Mihajlović 622 0.6× 255 1.0× 164 1.1× 96 1.1× 87 1.2× 51 985
Ahmet Ademoğlu 1.1k 1.1× 156 0.6× 151 1.0× 83 1.0× 27 0.4× 45 1.3k
Sheng-Hsiou Hsu 828 0.8× 141 0.5× 164 1.1× 31 0.4× 44 0.6× 22 1.0k
Jarosław Żygierewicz 823 0.8× 234 0.9× 127 0.9× 38 0.4× 69 0.9× 62 961

Countries citing papers authored by Rafał Kuś

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Kuś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Kuś

This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Kuś. A scholar is included among the top collaborators of Rafał Kuś based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rafał Kuś. Rafał Kuś is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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