Е. V. Biryukova

1.0k total citations
27 papers, 730 citations indexed

About

Е. V. Biryukova is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Е. V. Biryukova has authored 27 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 18 papers in Biomedical Engineering and 12 papers in Rehabilitation. Recurrent topics in Е. V. Biryukova's work include EEG and Brain-Computer Interfaces (17 papers), Muscle activation and electromyography studies (17 papers) and Stroke Rehabilitation and Recovery (12 papers). Е. V. Biryukova is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Muscle activation and electromyography studies (17 papers) and Stroke Rehabilitation and Recovery (12 papers). Е. V. Biryukova collaborates with scholars based in Russia, France and United States. Е. V. Biryukova's co-authors include Agnès Roby-Brami, Alexander Frolov, B. Bussel, Mindy F. Levin, Mounir Mokhtari, A. Feydy, Marc A. Maier, Blandine Bril, Pavel Bobrov and О. А. Мокиенко and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Journal of Biomechanics.

In The Last Decade

Е. V. Biryukova

25 papers receiving 694 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Е. V. Biryukova Russia 12 355 308 300 124 107 27 730
Steven K. Charles United States 16 356 1.0× 636 2.1× 482 1.6× 302 2.4× 77 0.7× 42 1.1k
Alessandro Scano Italy 19 462 1.3× 652 2.1× 407 1.4× 84 0.7× 107 1.0× 72 983
Jacopo Zenzeri Italy 16 360 1.0× 309 1.0× 223 0.7× 81 0.7× 100 0.9× 60 750
Martina Coscia Italy 15 473 1.3× 585 1.9× 448 1.5× 120 1.0× 111 1.0× 32 964
Mathew Yarossi United States 16 247 0.7× 230 0.7× 278 0.9× 92 0.7× 160 1.5× 55 725
Pascale Pigeon United States 10 301 0.8× 195 0.6× 126 0.4× 66 0.5× 97 0.9× 13 521
Valentina Squeri Italy 21 447 1.3× 399 1.3× 545 1.8× 221 1.8× 237 2.2× 64 1.1k
Valeriya Gritsenko United States 14 443 1.2× 445 1.4× 181 0.6× 71 0.6× 80 0.7× 27 754
Pilwon Hur United States 17 222 0.6× 373 1.2× 162 0.5× 45 0.4× 98 0.9× 55 829
Eleonora Guanziroli Italy 21 337 0.9× 643 2.1× 698 2.3× 102 0.8× 194 1.8× 58 1.2k

Countries citing papers authored by Е. V. Biryukova

Since Specialization
Citations

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

Fields of papers citing papers by Е. V. Biryukova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. V. Biryukova. 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 Е. V. Biryukova. The network helps show where Е. V. Biryukova may publish in the future.

Co-authorship network of co-authors of Е. V. Biryukova

This figure shows the co-authorship network connecting the top 25 collaborators of Е. V. Biryukova. A scholar is included among the top collaborators of Е. V. Biryukova 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 Е. V. Biryukova. Е. V. Biryukova 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
1.
Biryukova, Е. V., et al.. (2023). Non-Paretic Arm Motor Deficit and Recovery as a Function of Damage Lateralization after Stroke: Biomechanical Study. Физиология человека. 49(1). 64–78.
2.
Biryukova, Е. V., et al.. (2022). Paretic and Non-Paretic Arm Motor Deficit and Recovery as a Function of Lesion Lateralization and Paresis Severity: A Biomechanical Study. Human Physiology. 48(6). 667–679. 1 indexed citations
3.
Котов, С. В., et al.. (2021). Dynamics of the bioelectric activity of the cerebral cortex after a stroke with imagining the movement of the ipsilesional hand. Фарматека. 3_2021. 68–72. 1 indexed citations
4.
Biryukova, Е. V., et al.. (2021). Dynamics of EEG Spectral Characteristics in Subjects with Various Trait Anxiety Levels Performing Cognitive Tests. Human Physiology. 47(1). 14–22. 1 indexed citations
5.
Котов, С. В., et al.. (2020). Reorganization of Bioelectrical Activity in the Neocortex after Stroke by Rehabilitation Using a Brain–Computer Interface Controlling a Wrist Exoskeleton. Neuroscience and Behavioral Physiology. 50(9). 1146–1154. 3 indexed citations
6.
Biryukova, Е. V.. (2018). Complications in diabetes mellitus: diabetic neuropathy focus. Meditsinskiy sovet = Medical Council. 48–52. 3 indexed citations
7.
Frolov, Alexander, I. B. Kozlovskaya, Е. V. Biryukova, & Pavel Bobrov. (2018). Use of Robotic Devices in Post-Stroke Rehabilitation. Neuroscience and Behavioral Physiology. 48(9). 1053–1066. 14 indexed citations
8.
Котов, С. В., et al.. (2017). Rehabilitation potential of post-stroke patients training for kinesthetic movement imagination: Motor and cognitive aspects. Human Physiology. 43(5). 532–541. 6 indexed citations
9.
Biryukova, Е. V., et al.. (2017). [Arm Motor Function Recovery during Rehabilitation with the Use of Hand Exoskeleton Controlled by Brain-Computer Interface: a Patient with Severe Brain Damage].. PubMed. 42(1). 19–30. 10 indexed citations
11.
Frolov, Alexander, et al.. (2016). EFFICACY OF COMPLEX NEUROREHABILITATION OF PATIENTS WITH A POST-STROKE ARM PARESIS WITH THE USE OF A BRAIN-COMPUTER INTERFACE+EXOSKELETON SYSTEM. SHILAP Revista de lepidopterología. 44(3). 280–286. 3 indexed citations
12.
Котов, С. В., et al.. (2016). THE USE OF A COMPLEX “BRAIN-COMPUTER INTERFACE AND EXO-SKELETON” AND MOVEMENT IMAGINATION TECHNIQUE FOR POST-STROKE REHABILITATION. SHILAP Revista de lepidopterología. 15–21. 6 indexed citations
13.
Котов, С. В., et al.. (2016). Rehabilitation of Stroke Patients with a Bioengineered “Brain–Computer Interface with Exoskeleton” System. Neuroscience and Behavioral Physiology. 46(5). 518–522. 12 indexed citations
14.
Frolov, Alexander, et al.. (2013). Principles of neurorehabilitation based on the brain-computer interface and biologically adequate control of the exoskeleton. Human Physiology. 39(2). 196–208. 30 indexed citations
15.
Biryukova, Е. V. & Blandine Bril. (2008). Organization of Goal-Directed Action at a High Level of Motor Skill: The Case of Stone Knapping in India. Motor Control. 12(3). 181–209. 48 indexed citations
16.
Biryukova, Е. V., et al.. (2005). Kinematic and Dynamic Synergies of Human Precision-Grip Movements. Journal of Neurophysiology. 94(4). 2284–2294. 90 indexed citations
17.
Roby-Brami, Agnès, et al.. (2003). Motor compensation and recovery for reaching in stroke patients. Acta Neurologica Scandinavica. 107(5). 369–381. 218 indexed citations
18.
Frolov, Alexander, et al.. (2001). Assessment of the accuracy of a human arm model with seven degrees of freedom. Journal of Biomechanics. 34(2). 177–185. 52 indexed citations
19.
Biryukova, Е. V., et al.. (1999). Forearm postural control during unloading: anticipatory changes in elbow stiffness. Experimental Brain Research. 124(1). 107–117. 28 indexed citations
20.
Biryukova, Е. V., et al.. (1998). P059 Reconstruction of 7 DoF human ARM kinematics from polhemus fastrak recordings. Journal of Biomechanics. 31. 84–84. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026