Vadim Grubov

1.9k citations
96 papers · 1.1k indexed · h-index 20
Topics
EEG and Brain-Computer Interfaces (65 papers)Neural dynamics and brain function (46 papers)Functional Brain Connectivity Studies (13 papers)
Partner nations
RussiaSpainGermany

In The Last Decade

Vadim Grubov

83 papers receiving 1.1k citations

Peers

Vadim Grubov
Comparison fields: 5 of 90
  • Cognitive Neuroscience 850
  • Artificial Intelligence 160
  • Cellular and Molecular Neuroscience 156
  • Computer Networks and Communications 133
  • Statistical and Nonlinear Physics 124
Replace Carsten Allefeld with:
Carsten Allefeld Germany
Gan Huang China
Anastasiya E. Runnova Russia
Stavros I. Dimitriadis United Kingdom
Régine Le Bouquin Jeannès France
Kelly Shen Canada
Sridevi V. Sarma United States
Oren Shriki Israel
Thomas F. Collura United States
Matthias Arnold Germany
Vadim Grubov relative to Carsten Allefeld Germany Carsten Allefeld's profile →
Citations per field
00.5×1.5×2.2×
Carsten Allefeld · 1×
Citations per year

Countries citing papers authored by Vadim Grubov

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Grubov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Grubov

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Grubov. A scholar is included among the top collaborators of Vadim Grubov 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 Vadim Grubov. Vadim Grubov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 7
5 0
6 9
7 10
8 3
9 24
10 2
11 19
12 5
13 39
14 69
15 41
16 26
17 19
18 4
19 6
20 51

About Vadim Grubov

Vadim Grubov is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (65 papers), Neural dynamics and brain function (46 papers) and Functional Brain Connectivity Studies (13 papers). The work is most often cited by research in Cognitive Neuroscience (850 citations), Statistical and Nonlinear Physics (124 citations) and Cellular and Molecular Neuroscience (156 citations). Vadim Grubov has collaborated with scholars based in Russia, Spain and Germany. Frequent co-authors include Alexander E. Hramov, Vladimir Maksimenko, Evgenia Sitnikova, Alexander N. Pisarchik, Anastasiya E. Runnova, Nikita Frolov, А. А. Короновский, А. Н. Павлов, Elena Pitsik and Artem Badarin. Their work appears in journals such as PLoS ONE, Scientific Reports and Brain Research.

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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