Rafał Kuś

1.5k citations
28 papers · 1.2k · h-index 16

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 15
    • Neural dynamics and brain function 13
    • Functional Brain Connectivity Studies 3
    • Neural and Behavioral Psychology Studies 2
    • Neural Networks and Applications 6

Rafał Kuś

27 papers receiving 1.1k citations

Peers

Rafał Kuś
Comparison fields: 5 of 91
  • Cognitive Neuroscience 979
  • Cellular and Molecular Neuroscience 225
  • Signal Processing 135
  • Human-Computer Interaction 45
  • Experimental and Cognitive Psychology 49
Replace S. Salinari with:
S. Salinari Italy
Ahmet Ademoğlu Türkiye
Alexander Kaplan Russia
Jarosław Żygierewicz Poland
Vadim Grubov Russia
Hiroaki Mizuhara Japan
Bärbel Schack Germany
Anneleen Vergult Belgium
Thomas F. Collura United States
Okito Yamashita Japan
Rafał Kuś relative to S. Salinari Italy S. Salinari's profile →
Citations per field
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Citations per year

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-authors

The 22 scholars most cited alongside Rafał Kuś, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rafał Kuś Line = papers co-authored together Rafał Kuś links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004266
2 2004208
3 200798
4 201384
5 201472
6 201169
7 201256
8 201642
9 201040
10 200839
11 200635
12 201634
13 201230
14 201521
15 200819
16 201318
17 200512
18 20177
19
Propagation of EEG activity during continuous attention test
20055
20 20055

About Rafał Kuś

Rafał Kuś is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Cellular and Molecular Neuroscience and Communication, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Neural dynamics and brain function (13 papers), Neural Networks and Applications (6 papers), Blind Source Separation Techniques (5 papers), Neuroscience and Neural Engineering (4 papers), Functional Brain Connectivity Studies (3 papers), Rhetoric and Communication Studies (3 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (979 citations), Cellular and Molecular Neuroscience (225 citations), Signal Processing (135 citations), Human-Computer Interaction (45 citations) and Experimental and Cognitive Psychology (49 citations). Rafał Kuś has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Maciej Kamiński, Katarzyna J. Blinowska, Piotr Durka, Nathan E. Crone, Piotr J. Franaszczuk, Anna Korzeniewska, Ciprian M. Crainiceanu, Jarosław Żygierewicz, Piotr Suffczyński and Anna Duszyk-Bogorodzka. Their work appears in journals such as PLoS ONE, Acta Neurobiologiae Experimentalis, IEEE Transactions on Biomedical Engineering, Bulletin of the Polish Academy of Sciences Technical Sciences and Gene.

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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