George Petkov

547 citations
21 papers · 392 · h-index 10

Impact in

Papers in

George Petkov

20 papers receiving 384 citations

Peers

George Petkov
Comparison fields: 5 of 60
  • Cognitive Neuroscience 296
  • Psychiatry and Mental health 94
  • Cellular and Molecular Neuroscience 77
  • Statistical and Nonlinear Physics 21
  • Neurology 18
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Citations per field
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Citations per year

Countries citing papers authored by George Petkov

Since Specialization
Citations

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

Fields of papers citing papers by George Petkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside George Petkov, 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 George Petkov Line = papers co-authored together George Petkov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201462
2 201458
3 201252
4 201749
5 201938
6 201432
7 202031
8 201127
9 201212
10 201910
11 20194
12 20133
13
Local and Global Measures for Success and Reconstructive Determination of the Optimal Number of Partners in European Educational Projects
20142
14 20242
15 20192
16 20202
17 20122
18 20152
19 20241
20 20161

About George Petkov

George Petkov is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Computer Networks and Communications and Orthodontics, having authored 21 papers that have together received 392 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (5 papers), Epilepsy research and treatment (4 papers), Orthodontics and Dentofacial Orthopedics (2 papers), Multi-Criteria Decision Making (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). The work is most often cited by research in Cognitive Neuroscience (296 citations), Psychiatry and Mental health (94 citations), Cellular and Molecular Neuroscience (77 citations), Statistical and Nonlinear Physics (21 citations) and Neurology (18 citations). George Petkov has collaborated with scholars based in Netherlands, United Kingdom and Bulgaria. Frequent co-authors include Stiliyan Kalitzin, Mark P. Richardson, John R. Terry, Fernando Lopes da Silva, Marc Goodfellow, Demetrios N. Velis, Helmut Schmidt, Roland D. Thijs, R.H.C. Lazeron and Anouk van Westrhenen. Their work appears in journals such as Epilepsy & Behavior, IEEE Transactions on Biomedical Engineering, Frontiers in Neurology, Neurobiology of Disease and International Journal of Neural Systems.

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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