Max Talanov

641 total citations
39 papers, 349 citations indexed

About

Max Talanov is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Max Talanov has authored 39 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 13 papers in Artificial Intelligence. Recurrent topics in Max Talanov's work include Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (12 papers) and Advanced Memory and Neural Computing (10 papers). Max Talanov is often cited by papers focused on Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (12 papers) and Advanced Memory and Neural Computing (10 papers). Max Talanov collaborates with scholars based in Russia, Italy and Spain. Max Talanov's co-authors include Jordi Vallverdú, Victor Erokhin, Igor Lavrov, В. А. Демин, Yana Pigareva, Alexey Mikhaylov, Huaqiang Wu, Sergey Shchanikov, Victor Kazantsev and E.G. Gryaznov and has published in prestigious journals such as Aquatic Toxicology, Frontiers in Neuroscience and Chaos Solitons & Fractals.

In The Last Decade

Max Talanov

33 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Talanov Russia 7 149 123 102 49 46 39 349
Takuya Isomura Japan 14 142 1.0× 198 1.6× 361 3.5× 36 0.7× 65 1.4× 39 524
Massimiliano Versace United States 10 192 1.3× 127 1.0× 255 2.5× 10 0.2× 121 2.6× 24 502
Bill Baird United States 10 51 0.3× 105 0.9× 399 3.9× 40 0.8× 162 3.5× 29 572
Itay Baruchi Israel 11 50 0.3× 192 1.6× 258 2.5× 21 0.4× 16 0.3× 16 373
Yakov Kazanovich Russia 15 54 0.4× 112 0.9× 379 3.7× 36 0.7× 97 2.1× 39 542
Mihai A. Petrovici Switzerland 12 430 2.9× 174 1.4× 285 2.8× 21 0.4× 189 4.1× 43 563
Vasileios Ntinas Greece 13 522 3.5× 278 2.3× 184 1.8× 44 0.9× 74 1.6× 82 617
E. Margalit United States 7 168 1.1× 319 2.6× 508 5.0× 14 0.3× 91 2.0× 17 603
Kosuke Hamaguchi Japan 8 46 0.3× 108 0.9× 185 1.8× 14 0.3× 32 0.7× 20 356
Albert Gidon Germany 10 175 1.2× 357 2.9× 423 4.1× 11 0.2× 84 1.8× 12 619

Countries citing papers authored by Max Talanov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Talanov

This figure shows the co-authorship network connecting the top 25 collaborators of Max Talanov. A scholar is included among the top collaborators of Max Talanov 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 Max Talanov. Max Talanov 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.
Vallverdú, Jordi, et al.. (2024). Advancing Neural Networks: Innovations and Impacts on Energy Consumption. Advanced Electronic Materials. 10(12). 3 indexed citations
3.
Gerasimova, Svetlana A., A. I. Belov, Д. В. Гусейнов, et al.. (2024). Memristor-based model of neuronal excitability and synaptic potentiation. Frontiers in Neuroscience. 18. 1456386–1456386. 2 indexed citations
4.
Vallverdú, Jordi, et al.. (2023). Hormonal computing: a conceptual approach. Frontiers in Chemistry. 11. 1232949–1232949. 1 indexed citations
5.
Emelyanov, A. V., et al.. (2023). Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern. Frontiers in Neuroscience. 17. 1124950–1124950. 6 indexed citations
6.
Magid, Evgeni, et al.. (2023). Neurointerface with oscillator motifs for inhibitory effect over antagonist muscles. Frontiers in Neuroscience. 17. 1 indexed citations
7.
Talanov, Max. (2022). Neuropunk revolution: preliminary results. 274–277.
8.
Talanov, Max, et al.. (2021). Deciphering in silico the Role of Mutated NaV1.1 Sodium Channels in Enhancing Trigeminal Nociception in Familial Hemiplegic Migraine Type 3. Frontiers in Cellular Neuroscience. 15. 644047–644047. 7 indexed citations
9.
10.
Mikhaylov, Alexey, Alexey Pimashkin, Yana Pigareva, et al.. (2020). Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics. Frontiers in Neuroscience. 14. 358–358. 144 indexed citations
11.
Talanov, Max, Fail Gafarov, Ksenia Koroleva, et al.. (2020). Modeling a Nociceptive Neuro-Immune Synapse Activated by ATP and 5-HT in Meninges: Novel Clues on Transduction of Chemical Signals Into Persistent or Rhythmic Neuronal Firing. Frontiers in Cellular Neuroscience. 14. 135–135. 18 indexed citations
12.
Talanov, Max, et al.. (2020). On the organic memristive device resistive switching efficacy. Chaos Solitons & Fractals. 143. 110549–110549. 5 indexed citations
13.
Vallverdú, Jordi, Òscar Castro, Richard Mayne, et al.. (2018). Slime mould: The fundamental mechanisms of biological cognition. Biosystems. 165. 57–70. 74 indexed citations
14.
Talanov, Max, et al.. (2018). Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine. Biologically Inspired Cognitive Architectures. 26. 166–173. 1 indexed citations
15.
Talanov, Max, et al.. (2018). Memristive neuron integration in digital robotic embodiment. Proceedings of International Conference on Artificial Life and Robotics. 23. 200–203.
16.
Vallverdú, Jordi, et al.. (2017). Swarm Intelligence via the Internet of Things and the Phenomenological Turn. Philosophies. 2(3). 19–19. 1 indexed citations
17.
Talanov, Max, et al.. (2017). Modeling the Fear-Like State in Realistic Neural Network. BioNanoScience. 7(2). 446–448. 2 indexed citations
18.
19.
Talanov, Max, et al.. (2016). Emotional simulations and depression diagnostics. Biologically Inspired Cognitive Architectures. 18. 41–50. 4 indexed citations
20.
Talanov, Max, et al.. (2015). Neuromodulating Cognitive Architecture: Towards Biomimetic Emotional AI. 587–592. 10 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.

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