О. А. Мокиенко

946 total citations
40 papers, 617 citations indexed

About

О. А. Мокиенко is a scholar working on Cognitive Neuroscience, Rehabilitation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, О. А. Мокиенко has authored 40 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 9 papers in Rehabilitation and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in О. А. Мокиенко's work include EEG and Brain-Computer Interfaces (23 papers), Stroke Rehabilitation and Recovery (9 papers) and Transcranial Magnetic Stimulation Studies (7 papers). О. А. Мокиенко is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Stroke Rehabilitation and Recovery (9 papers) and Transcranial Magnetic Stimulation Studies (7 papers). О. А. Мокиенко collaborates with scholars based in Russia, Czechia and United States. О. А. Мокиенко's co-authors include Alexander Frolov, R. Kh. Lyukmanov, Pavel Bobrov, Л. Г. Турбина, Yulia Bushkova, С. В. Котов, Elena V. Biryukova, Л. А. Черникова, М. А. Пирадов and Е. V. Biryukova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Neuroscience and Scientific Data.

In The Last Decade

О. А. Мокиенко

35 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
О. А. Мокиенко Russia 13 480 213 204 155 66 40 617
Gangadhar Garipelli Switzerland 8 430 0.9× 161 0.8× 195 1.0× 168 1.1× 51 0.8× 16 606
Manuel Agostini Germany 3 653 1.4× 291 1.4× 331 1.6× 173 1.1× 81 1.2× 3 723
Özge Yilmaz Türkiye 9 748 1.6× 338 1.6× 375 1.8× 216 1.4× 100 1.5× 11 911
Ravikiran Mane Singapore 10 465 1.0× 114 0.5× 200 1.0× 85 0.5× 57 0.9× 12 595
Alexander Remsik United States 9 271 0.6× 109 0.5× 125 0.6× 97 0.6× 54 0.8× 13 366
Jessica Cantillo-Negrete Mexico 10 268 0.6× 117 0.5× 152 0.7× 80 0.5× 39 0.6× 37 381
Wilson Low Singapore 4 335 0.7× 163 0.8× 164 0.8× 106 0.7× 34 0.5× 6 425
Armin Walter Germany 10 371 0.8× 140 0.7× 208 1.0× 75 0.5× 84 1.3× 16 467
Liesjet van Dokkum France 12 271 0.6× 92 0.4× 82 0.4× 234 1.5× 65 1.0× 25 545
Pavel Bobrov Russia 13 407 0.8× 118 0.6× 129 0.6× 111 0.7× 54 0.8× 41 467

Countries citing papers authored by О. А. Мокиенко

Since Specialization
Citations

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

Fields of papers citing papers by О. А. Мокиенко

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by О. А. Мокиенко. 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 О. А. Мокиенко. The network helps show where О. А. Мокиенко may publish in the future.

Co-authorship network of co-authors of О. А. Мокиенко

This figure shows the co-authorship network connecting the top 25 collaborators of О. А. Мокиенко. A scholar is included among the top collaborators of О. А. Мокиенко 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 О. А. Мокиенко. О. А. Мокиенко 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.
2.
Мокиенко, О. А., et al.. (2024). Phantom limb pain: actual concepts of pathophysiology and therapeutic targets. 28(6). 4–10.
3.
Мокиенко, О. А., et al.. (2024). A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface. Scientific Data. 11(1). 1168–1168. 3 indexed citations
4.
Мокиенко, О. А., et al.. (2024). Brain-computer interfaces based on near-infrared spectroscopy and electroencephalography registration in post-stroke rehabilitation: a comparative study. Neurology neuropsychiatry Psychosomatics. 16(5). 17–23.
5.
Lyukmanov, R. Kh., et al.. (2024). Brain–Computer Interface Using Functional Near-Infrared Spectroscopy for Post-Stroke Motor Rehabilitation: Case Series. SHILAP Revista de lepidopterología. 17(4). 82–88. 4 indexed citations
6.
Мокиенко, О. А.. (2024). Invasive Brain–Computer Interfaces: 25 Years of Clinical Trials, Scientific and Practical Issues. Annals of the Russian academy of medical sciences. 79(5).
7.
Мокиенко, О. А.. (2024). Brain–Computer Interfaces with Intracortical Implants for Motor and Communication Functions Compensation: Review of Recent Developments. Sovremennye tehnologii v medicine. 16(1). 78–78. 3 indexed citations
8.
Морозов, С. П., Valeria Chernina, Anna Andreychenko, et al.. (2021). How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan?. SHILAP Revista de lepidopterología. 2(1). 27–38. 5 indexed citations
9.
Мокиенко, О. А., et al.. (2021). On the issue of ethical aspects of the artificial intelligence systems implementation in healthcare. SHILAP Revista de lepidopterología. 2(3). 356–368. 9 indexed citations
10.
Мокиенко, О. А., et al.. (2021). Standardization in regulating artificial intelligence systems in Russian healthcare. Kazan medical journal. 102(6). 923–933. 3 indexed citations
11.
Chernina, Valeria, et al.. (2021). Specificity of chest computed tomography in COVID-19-associated pneumonia: a retrospective study. SHILAP Revista de lepidopterología. 49(1). 1–10. 2 indexed citations
12.
Морозов, С. П., Victor А. Gombolevskiy, Valeria Chernina, et al.. (2020). Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography. SHILAP Revista de lepidopterología. 98(6). 7–14. 15 indexed citations
13.
Морозов, С. П., N. V. Ledikhova, Anton V. Vladzymyrskyy, et al.. (2020). Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow. SHILAP Revista de lepidopterología. 1(1). 5–12. 9 indexed citations
14.
15.
Poydasheva, Alexandra G., R. Kh. Lyukmanov, О. А. Мокиенко, et al.. (2018). Dynamics of the Cortical Motor Representation of the Extensor Digitorum Communis Muscle after Motor Imagery Training Using a Brain–Computer Interface: a Controlled Study. Neuroscience and Behavioral Physiology. 48(9). 1106–1113. 2 indexed citations
16.
Lyukmanov, R. Kh., О. А. Мокиенко, Н. А. Супонева, et al.. (2018). Post-stroke rehabilitation training with a brain-computer interface: a clinical and neuropsychological study. S S Korsakov Journal of Neurology and Psychiatry. 118(8). 43–43. 14 indexed citations
17.
Мокиенко, О. А., R. Kh. Lyukmanov, Л. А. Черникова, et al.. (2017). [Brain-Computer Interface: the First Clinical Experience in Russia].. PubMed. 42(1). 31–9. 6 indexed citations
18.
Мокиенко, О. А., et al.. (2016). The efficacy of botulinum toxin therapy in patients with upper limb spasticity due to traumatic brain injury. S S Korsakov Journal of Neurology and Psychiatry. 116(8). 30–30. 1 indexed citations
19.
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
20.

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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