Yuriy Mishchenko
- Cognitive Neuroscience top 5%
- Nuclear and High Energy Physics top 10%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Chueng‐Ryong JiHilmi YanarÇiğdem İnan AcıLiam PaninskiJoshua T VogelsteinAnatoly RadyushkinAntonio CapolupoGiuseppe Vitiello
- Topics
- Neural dynamics and brain function (5 papers)Particle physics theoretical and experimental studies (5 papers)EEG and Brain-Computer Interfaces (5 papers)
- Journals
- Physics Letters BExpert Systems with ApplicationsIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesTürkiyeGermany
In The Last Decade
Yuriy Mishchenko
24 papers receiving 633 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 291
- Nuclear and High Energy Physics 176
- Cellular and Molecular Neuroscience 131
- Electrical and Electronic Engineering 73
- Artificial Intelligence 70
Countries citing papers authored by Yuriy Mishchenko
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 78 | |
| 6 | 28 | |
| 7 | 119 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 64 | |
| 14 | 5 | |
| 15 | 66 | |
| 16 | 3 | |
| 17 | 26 | |
| 18 | 2 | |
| 19 | 56 | |
| 20 | 31 |
About Yuriy Mishchenko
Yuriy Mishchenko is a scholar working on Structural Biology, Biophysics and Nuclear and High Energy Physics, having authored 26 papers that have together received 653 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Particle physics theoretical and experimental studies (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Structural Biology (28 citations), Cognitive Neuroscience (291 citations) and Nuclear and High Energy Physics (176 citations). Yuriy Mishchenko has collaborated with scholars based in United States, Türkiye and Germany. Frequent 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. Their work appears in journals such as Physics Letters B, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.
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.