Michael Vourkas

1.4k citations
15 papers · 1.1k indexed · 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 1.0k
  • Experimental and Cognitive Psychology 174
  • Radiology, Nuclear Medicine and Imaging 192
  • Statistical and Nonlinear Physics 57
  • Psychiatry and Mental health 64
Replace Stavros I. Dimitriadis with:
Stavros I. Dimitriadis United Kingdom
Raphaël Liégeois Switzerland
Ameera X. Patel United Kingdom
Shuixia Guo China
Ari E. Kahn United States
Ravi D. Mill United States
Vasily A. Vakorin Canada
Joshua Faskowitz United States
Cam‐CAN United Kingdom
Alexandre Andrade Portugal
Michael Vourkas relative to Stavros I. Dimitriadis United Kingdom Stavros I. Dimitriadis's profile →
Citations per field
00.5×1.5×
Stavros I. Dimitriadis · 1×
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-authorship network

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 201424
2 201220
3
An EEG study of brain connectivity dynamics at the resting state.
201230
4 201120
5 201023
6 201027
7 201090
8 201011
9 201068
10 200859
11 2007121
12 2006220
13 2006361
14 200032
15 19965

About Michael Vourkas

Michael Vourkas is a scholar working on Cognitive Neuroscience, Statistics and Probability, Experimental and Cognitive Psychology, Artificial Intelligence and Signal Processing, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (9 papers), Neural Networks and Applications (3 papers), Cognitive and developmental aspects of mathematical skills (2 papers), Mental Health Research Topics (2 papers), Traumatic Brain Injury Research (2 papers) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Experimental and Cognitive Psychology (174 citations), Radiology, Nuclear Medicine and Imaging (192 citations), Statistical and Nonlinear Physics (57 citations) and Psychiatry and Mental health (64 citations). Michael Vourkas has collaborated with scholars based in Greece, Netherlands and Australia. Frequent co-authors include Sifis Micheloyannis, Cornelis J. Stam, Vasso Tsirka, Sophia Erimaki, Michael Breakspear, M. Zervakis, Nikolaos Laskaris, Stavros I. Dimitriadis, Panagiotis G. Simos and Spiros Fotopoulos. Their work appears in journals such as Brain and Cognition, International Journal of Psychophysiology, Schizophrenia Research, Human Brain Mapping and Brain Topography.

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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