Valeri A. Makarov

3.6k total citations
94 papers, 2.5k citations indexed

About

Valeri A. Makarov is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Valeri A. Makarov has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 28 papers in Cellular and Molecular Neuroscience and 23 papers in Statistical and Nonlinear Physics. Recurrent topics in Valeri A. Makarov's work include Neural dynamics and brain function (50 papers), Neural Networks and Applications (18 papers) and Nonlinear Dynamics and Pattern Formation (16 papers). Valeri A. Makarov is often cited by papers focused on Neural dynamics and brain function (50 papers), Neural Networks and Applications (18 papers) and Nonlinear Dynamics and Pattern Formation (16 papers). Valeri A. Makarov collaborates with scholars based in Spain, Russia and Germany. Valeri A. Makarov's co-authors include Nazareth P. Castellanos, Manuel G. Velárde, Óscar Herreras, А. Н. Павлов, Julia Makarova, Guoxiang Huang, Alexander E. Hramov, Evgenia Sitnikova, А. А. Короновский and Vladimir I. Nekorkin and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Valeri A. Makarov

91 papers receiving 2.4k citations

Peers

Valeri A. Makarov
Comparison fields: 5 of 127
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 619
  • Statistical and Nonlinear Physics 485
  • Computer Networks and Communications 332
  • Electrical and Electronic Engineering 306
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Xile Wei China
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Michael R. DeWeese United States
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Stiliyan Kalitzin Netherlands
Kay A. Robbins United States
Raúl Vicente Germany
Haitao Yu China View profile →
Citations per field, relative to Valeri A. Makarov
Valeri A. Makarov · 1×
Citations per year, relative to Valeri A. Makarov
Valeri A. Makarov · 1×

Countries citing papers authored by Valeri A. Makarov

Since Specialization
Citations

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

Fields of papers citing papers by Valeri A. Makarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valeri A. Makarov. 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 Valeri A. Makarov. The network helps show where Valeri A. Makarov may publish in the future.

Co-authorship network of co-authors of Valeri A. Makarov

This figure shows the co-authorship network connecting the top 25 collaborators of Valeri A. Makarov. A scholar is included among the top collaborators of Valeri A. Makarov 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 Valeri A. Makarov. Valeri A. Makarov 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
# Work Indexed citations
1 0
2 1
3 3
4 6
5 10
6 12
7 6
8 3
9 39
10
Human-machine interface built on sEMG toolkit with artificial neural network feature classifier
1
11 14
12 33
13 12
14 40
15 19
16 16
17 19
18 26
19 28
20 1

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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