Juraj Mesík

47 total papers · 528 total citations
16 papers, 280 citations indexed

About

Juraj Mesík is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Juraj Mesík has authored 16 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Juraj Mesík's work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (6 papers) and Hearing Loss and Rehabilitation (5 papers). Juraj Mesík is often cited by papers focused on Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (6 papers) and Hearing Loss and Rehabilitation (5 papers). Juraj Mesík collaborates with scholars based in United States, United Kingdom and Netherlands. Juraj Mesík's co-authors include Ryota Kanai, Thomas A. Carlson, Hinze Hogendoorn, Stephen A. Engel, Min Bao, Magdalena Wojtczak, Andrew J. Oxenham, Emily Allen, Kendrick Kay and Rebecca Smith and has published in prestigious journals such as Journal of Neuroscience, The Journal of the Acoustical Society of America and Vision Research.

In The Last Decade

Juraj Mesík

15 papers receiving 277 citations

Author Peers

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

Author Last Decade Papers Cites
Juraj Mesík 252 36 29 22 20 16 280
Tandra Ghose 183 0.7× 36 1.0× 45 1.6× 65 3.0× 14 0.7× 23 269
Jongsoo Baek 203 0.8× 64 1.8× 37 1.3× 48 2.2× 8 0.4× 16 266
Stephanie Wissig 283 1.1× 36 1.0× 16 0.6× 16 0.7× 6 0.3× 11 321
Adar Pelah 196 0.8× 27 0.8× 57 2.0× 36 1.6× 31 1.6× 30 271
Marina T. Groner 170 0.7× 31 0.9× 20 0.7× 32 1.5× 7 0.3× 15 227
Toni Saarela 260 1.0× 36 1.0× 35 1.2× 57 2.6× 17 0.8× 23 298
T. Berger 273 1.1× 70 1.9× 30 1.0× 22 1.0× 44 2.2× 8 329
J. A. Movshon 239 0.9× 11 0.3× 12 0.4× 17 0.8× 23 1.1× 12 252
Reuben Rideaux 256 1.0× 41 1.1× 20 0.7× 33 1.5× 15 0.8× 36 309
Hongliang Gong 192 0.8× 18 0.5× 21 0.7× 24 1.1× 7 0.3× 13 262

Countries citing papers authored by Juraj Mesík

Since Specialization
Citations

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

Fields of papers citing papers by Juraj Mesík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juraj Mesík

This figure shows the co-authorship network connecting the top 25 collaborators of Juraj Mesík. A scholar is included among the top collaborators of Juraj Mesík 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 Juraj Mesík. Juraj Mesík 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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