Michael Vourkas

1.4k citations
15 papers · 1.1k · h-index 13

Impact in

Papers in

Michael Vourkas

15 papers receiving 1.1k citations

Peers

Michael Vourkas
Comparison fields: 5 of 73
  • Cognitive Neuroscience 976
  • Experimental and Cognitive Psychology 155
  • Radiology, Nuclear Medicine and Imaging 164
  • Psychiatry and Mental health 59
  • Statistical and Nonlinear Physics 54
Replace Raphaël Liégeois with:
Raphaël Liégeois Switzerland
Ameera X. Patel United Kingdom
Shuixia Guo China
Stavros I. Dimitriadis United Kingdom
Ari E. Kahn United States
Vasily A. Vakorin Canada
Ravi D. Mill United States
Joshua Faskowitz United States
Alexandre Andrade Portugal
Cam‐CAN United Kingdom
Michael Vourkas relative to Raphaël Liégeois Switzerland Raphaël Liégeois's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Vourkas

Since Specialization
Citations

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

Fields of papers citing papers by Michael Vourkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Michael Vourkas, 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 Michael Vourkas Line = papers co-authored together Michael Vourkas links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2006362
2 2006221
3 2007122
4 201090
5 201068
6 200859
7 200033
8
An EEG study of brain connectivity dynamics at the resting state.
201232
9 201028
10 201424
11 201023
12 201120
13 201220
14 201011
15 19965

About Michael Vourkas

Michael Vourkas is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Epidemiology, Artificial Intelligence and Statistics and Probability, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (7 papers), Traumatic Brain Injury Research (2 papers), Mental Health Research Topics (2 papers), Neural Networks and Applications (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (976 citations), Experimental and Cognitive Psychology (155 citations), Radiology, Nuclear Medicine and Imaging (164 citations), Psychiatry and Mental health (59 citations) and Statistical and Nonlinear Physics (54 citations). Michael Vourkas has collaborated with scholars based in Greece, Netherlands and Spain. Frequent co-authors include Sifis Micheloyannis, Cornelis J. Stam, Vasso Tsirka, Sophia Erimaki, M. Zervakis, Michael Breakspear, Stavros I. Dimitriadis, Nikolaos Laskaris, Panagiotis G. Simos and Spiros Fotopoulos. Their work appears in journals such as Brain Topography, Mathematics and Computers in Simulation, International Journal of Psychophysiology, Brain and Cognition and Human Brain Mapping.

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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