Vasily Klucharev

2.1k total citations
59 papers, 1.4k citations indexed

About

Vasily Klucharev is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Decision Sciences. According to data from OpenAlex, Vasily Klucharev has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 18 papers in Experimental and Cognitive Psychology and 7 papers in General Decision Sciences. Recurrent topics in Vasily Klucharev's work include Neural and Behavioral Psychology Studies (40 papers), Neural dynamics and brain function (17 papers) and Functional Brain Connectivity Studies (8 papers). Vasily Klucharev is often cited by papers focused on Neural and Behavioral Psychology Studies (40 papers), Neural dynamics and brain function (17 papers) and Functional Brain Connectivity Studies (8 papers). Vasily Klucharev collaborates with scholars based in Russia, Finland and Netherlands. Vasily Klucharev's co-authors include Ale Smidts, Guillén Fernández, Mark Rijpkema, Анна Шестакова, Kaisa Hytönen, Mikko Sams, Riikka Möttönen, Alexei Ossadtchi, Mikko Sams and M. Munneke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Vasily Klucharev

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vasily Klucharev Russia	16	944	437	303	246	141	59	1.4k
Hannah Faye Chua United States	11	489 0.5×	306 0.7×	393 1.3×	217 0.9×	190 1.3×	12	1.1k
Hongbo Yu China	24	1.2k 1.2×	235 0.5×	388 1.3×	157 0.6×	68 0.5×	69	1.9k
Mateus Joffily France	16	985 1.0×	369 0.8×	332 1.1×	134 0.5×	128 0.9×	21	1.7k
Damon Tomlin United States	9	1.2k 1.3×	437 1.0×	566 1.9×	349 1.4×	101 0.7×	15	2.2k
Dino J. Levy Israel	15	1.3k 1.4×	360 0.8×	275 0.9×	106 0.4×	174 1.2×	34	2.1k
Jan B. Engelmann Netherlands	20	910 1.0×	406 0.9×	237 0.8×	142 0.6×	164 1.2×	50	1.6k
Carsten Murawski Australia	20	657 0.7×	304 0.7×	222 0.7×	125 0.5×	157 1.1×	60	1.5k
John A. Clithero United States	19	1.2k 1.3×	333 0.8×	216 0.7×	116 0.5×	145 1.0×	32	1.7k
Qinglin Zhang China	26	1.5k 1.6×	761 1.7×	432 1.4×	153 0.6×	116 0.8×	117	2.3k
Thomas Z. Ramsøy Denmark	22	1.5k 1.6×	385 0.9×	327 1.1×	328 1.3×	83 0.6×	52	2.5k

Countries citing papers authored by Vasily Klucharev

Since Specialization

Citations

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

Fields of papers citing papers by Vasily Klucharev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasily Klucharev

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

All Works

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20 of 20 papers shown

Kosonogov, Vladimir, et al.. (2025). Neurophysiological study of consumer emotional reactions in a simulated multisensory retail environment. Frontiers in Human Neuroscience. 19. 1635673–1635673.

Jääskeläinen, Iiro P., et al.. (2024). Deciphering the neural responses to a naturalistic persuasive message. Proceedings of the National Academy of Sciences. 121(43). e2401317121–e2401317121. 1 indexed citations

Шестакова, Анна, et al.. (2023). Neuromodulation of choice-induced preference changes: the tDCS study of cognitive dissonance. Frontiers in Psychology. 14. 1104410–1104410.

Kosonogov, Vladimir, et al.. (2023). Neural mechanisms of expert persuasion on willingness to pay for sugar. Frontiers in Behavioral Neuroscience. 17. 1147140–1147140. 6 indexed citations

Шестакова, Анна, et al.. (2023). The prediction of market-level food choices by the neural valuation signal. PLoS ONE. 18(6). e0286648–e0286648. 3 indexed citations

Andraszewicz, Sandra, et al.. (2022). Mine or ours? Neural basis of the exploitation of common-pool resources. Social Cognitive and Affective Neuroscience. 17(9). 837–849. 4 indexed citations

Jääskeläinen, Iiro P., Enrico Glerean, Vasily Klucharev, Анна Шестакова, & Jyrki Ahveninen. (2022). Do sparse brain activity patterns underlie human cognition?. NeuroImage. 263. 119633–119633. 3 indexed citations

Klucharev, Vasily, et al.. (2022). Visual processing of green zones in shared courtyards during renting decisions: An eye-tracking study. Urban forestry & urban greening. 68. 127460–127460. 10 indexed citations

Feurra, Matteo, et al.. (2022). Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice. Scientific Reports. 12(1). 16115–16115. 6 indexed citations

10.

Шестакова, Анна, et al.. (2022). “Expert persuasion” can decrease willingness to pay for sugar-containing food. Frontiers in Nutrition. 9. 926875–926875. 3 indexed citations

11.

Nikulin, Vadim V., et al.. (2020). Cortical plasticity elicited by acoustically cued monetary losses: an ERP study. Scientific Reports. 10(1). 21161–21161.

12.

Пирадов, М. А., et al.. (2019). Action in auctions: neural and computational mechanisms of bidding behaviour. European Journal of Neuroscience. 50(8). 3327–3348. 3 indexed citations

13.

Shtyrov, Yury, et al.. (2019). The Monetary Incentive Delay (MID) Task Induces Changes in Sensory Processing: ERP Evidence. Frontiers in Human Neuroscience. 13. 382–382. 5 indexed citations

14.

Yaple, Zachary, Анна Шестакова, & Vasily Klucharev. (2018). Feedback-related negativity reflects omission of monetary gains: Evidence from ERP gambling study. Neuroscience Letters. 686. 145–149. 15 indexed citations

15.

Yaple, Zachary, et al.. (2017). Transcranial Alternating Current Stimulation Modulates Risky Decision Making in a Frequency-Controlled Experiment. eNeuro. 4(6). ENEURO.0136–17.2017. 31 indexed citations

16.

Yaple, Zachary, et al.. (2017). Transcranial Alternating Current Stimulation Modulates Risky Decision Making in a Frequency-Controlled Experiment. SSRN Electronic Journal. 3 indexed citations

17.

Klucharev, Vasily, et al.. (2017). Correlation of cue-locked FRN and feedback-locked FRN in the auditory monetary incentive delay task. Experimental Brain Research. 236(1). 141–151. 3 indexed citations

18.

Klucharev, Vasily, et al.. (2017). MEG Signatures of a Perceived Match or Mismatch between Individual and Group Opinions. Frontiers in Neuroscience. 11. 10–10. 158 indexed citations

19.

Stallen, Mirre, et al.. (2009). Celebrities and Shoes on the Female Brain: The Neural Correlates of Product Evaluation in the Context of Fame. RePEc: Research Papers in Economics. 1 indexed citations

20.

Kätsyri, Jari, et al.. (2003). Identification of synthetic and natural emotional facial expressions.. AVSP. 239–243. 24 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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