Yuriy Mishchenko

128 total papers · 977 total citations
26 papers, 646 citations indexed

About

Yuriy Mishchenko is a scholar working on Cognitive Neuroscience, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yuriy Mishchenko has authored 26 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Nuclear and High Energy Physics and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yuriy Mishchenko's work include EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (5 papers) and Particle physics theoretical and experimental studies (5 papers). Yuriy Mishchenko is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (5 papers) and Particle physics theoretical and experimental studies (5 papers). Yuriy Mishchenko collaborates with scholars based in United States, Türkiye and Germany. Yuriy Mishchenko's co-authors include Chueng‐Ryong Ji, Hilmi Yanar, Çiğdem İnan Acı, Liam Paninski, Joshua T Vogelstein, Liam Paninski, Anatoly Radyushkin, Antonio Capolupo, Giuseppe Vitiello and B. L. G. Bakker and has published in prestigious journals such as Physics Letters B, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yuriy Mishchenko

24 papers receiving 626 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yuriy Mishchenko	286	176	130	73	70	26	646
Itsaso Olasagasti	357 1.2×	188 1.1×	81 0.6×	27 0.4×	31 0.4×	30	702
Fernando Montani	443 1.5×	36 0.2×	172 1.3×	67 0.9×	98 1.4×	41	595
Andrew D. Hibbs	92 0.3×	33 0.2×	23 0.2×	104 1.4×	15 0.2×	36	631
Ted Brookings	334 1.2×	25 0.1×	299 2.3×	46 0.6×	28 0.4×	12	583
Conor Houghton	233 0.8×	275 1.6×	124 1.0×	57 0.8×	38 0.5×	48	714
Houman Safaai	634 2.2×	58 0.3×	290 2.2×	74 1.0×	29 0.4×	17	751
Ramakrishnan Iyer	387 1.4×	28 0.2×	212 1.6×	140 1.9×	55 0.8×	17	659
A. Borsellino	321 1.1×	39 0.2×	215 1.7×	31 0.4×	108 1.5×	23	739
Yoshiwo Okamoto	307 1.1×	22 0.1×	45 0.3×	82 1.1×	16 0.2×	33	590
Ari Pakman	68 0.2×	315 1.8×	53 0.4×	18 0.2×	59 0.8×	25	557

Countries citing papers authored by Yuriy Mishchenko

Since Specialization

Citations

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

Fields of papers citing papers by Yuriy Mishchenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuriy Mishchenko

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

All Works

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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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