Max Talanov
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Neural dynamics and brain function
Papers in
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- Neural dynamics and brain function 16
- EEG and Brain-Computer Interfaces 5
- Cognitive Science and Education Research 3
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- Neuroscience and Neural Engineering 12
- Co-authors
- Victor Erokhin (9 shared papers)Jordi Vallverdú (13 shared papers)Igor Lavrov (6 shared papers)В. А. Демин (3 shared papers)Victor Kazantsev (2 shared papers)Sergey Shchanikov (1 shared paper)И.В. Мухина (1 shared paper)Alexey Pimashkin (1 shared paper)
In The Last Decade
Max Talanov
33 papers receiving 329 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 123
- Cognitive Neuroscience 102
- Statistical and Nonlinear Physics 35
- Electrical and Electronic Engineering 149
- Polymers and Plastics 25
Countries citing papers authored by Max Talanov
This map shows the geographic impact of Max Talanov'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 Max Talanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Talanov more than expected).
Fields of papers citing papers by Max Talanov
This network shows the impact of papers produced by Max Talanov. 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 Max Talanov. The network helps show where Max Talanov may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Talanov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 144 | |
| 2 | 2018 | 74 | |
| 3 | 2020 | 18 | |
| 4 | 2015 | 11 | |
| 5 | 2015 | 10 | |
| 6 | 2021 | 7 | |
| 7 | 2014 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2017 | 5 | |
| 12 | NEUCOGAR: A Neuromodulating Cognitive Architecture for Biomimetic Emotional AI | 2016 | 5 |
| 13 | 2016 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2018 | 3 |
About Max Talanov
Max Talanov is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 39 papers that have together received 349 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (10 papers), Psychiatry, Mental Health, Neuroscience (7 papers), EEG and Brain-Computer Interfaces (5 papers), Muscle activation and electromyography studies (4 papers), Cognitive Science and Education Research (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (123 citations), Cognitive Neuroscience (102 citations), Statistical and Nonlinear Physics (35 citations), Electrical and Electronic Engineering (149 citations) and Polymers and Plastics (25 citations). Max Talanov has collaborated with scholars based in Russia, Italy and Spain. Frequent co-authors include Victor Erokhin, Jordi Vallverdú, Igor Lavrov, В. А. Демин, Victor Kazantsev, Sergey Shchanikov, И.В. Мухина, Alexey Pimashkin, Svetlana A. Gerasimova and Huaqiang Wu. Their work appears in journals such as Frontiers in Neuroscience, Frontiers in Cellular Neuroscience, Frontiers in Chemistry, Biosystems and Advanced Electronic Materials.
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.