Martin Pyka

50 total papers · 2.1k total citations
28 papers, 1.5k citations indexed

About

Martin Pyka is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Martin Pyka has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Martin Pyka's work include Functional Brain Connectivity Studies (14 papers), Neural and Behavioral Psychology Studies (5 papers) and Neural dynamics and brain function (5 papers). Martin Pyka is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Neural and Behavioral Psychology Studies (5 papers) and Neural dynamics and brain function (5 papers). Martin Pyka collaborates with scholars based in Germany, Belgium and United States. Martin Pyka's co-authors include Carsten Konrad, Harald Kugel, Sonja Schöning, Andréas Faissner, Udo Dannlowski, Maren Geißler, Pienie Zwitserlood, Walter Heindel, Volker Arolt and Constanze I. Seidenbecher and has published in prestigious journals such as PLoS ONE, NeuroImage and Biological Psychiatry.

In The Last Decade

Martin Pyka

28 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Martin Pyka 770 405 302 225 175 28 1.5k
Atsushi Sato 848 1.1× 302 0.7× 191 0.6× 293 1.3× 163 0.9× 64 1.7k
Miloš Cekić 477 0.6× 244 0.6× 296 1.0× 196 0.9× 115 0.7× 19 1.4k
Helena Cousijn 1.1k 1.4× 229 0.6× 247 0.8× 137 0.6× 140 0.8× 30 1.8k
Anne S. Berry 787 1.0× 184 0.5× 305 1.0× 228 1.0× 238 1.4× 38 1.4k
Christopher J. Fox 1.1k 1.4× 470 1.2× 342 1.1× 231 1.0× 99 0.6× 29 1.8k
Fred W. Sabb 886 1.2× 336 0.8× 126 0.4× 158 0.7× 231 1.3× 23 1.6k
Ulrike Basten 1.1k 1.4× 440 1.1× 193 0.6× 77 0.3× 153 0.9× 27 1.5k
Jérôme Redouté 682 0.9× 245 0.6× 260 0.9× 133 0.6× 210 1.2× 42 1.4k
Jared X. Van Snellenberg 874 1.1× 192 0.5× 302 1.0× 201 0.9× 554 3.2× 34 1.5k
Valeria Latorre 897 1.2× 232 0.6× 268 0.9× 365 1.6× 475 2.7× 28 1.8k

Countries citing papers authored by Martin Pyka

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pyka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pyka

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