Teodóra Vékony

662 total citations
35 papers, 281 citations indexed

About

Teodóra Vékony is a scholar working on Cognitive Neuroscience, Social Psychology and Neurology. According to data from OpenAlex, Teodóra Vékony has authored 35 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 7 papers in Social Psychology and 7 papers in Neurology. Recurrent topics in Teodóra Vékony's work include Neural and Behavioral Psychology Studies (14 papers), Neural dynamics and brain function (9 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Teodóra Vékony is often cited by papers focused on Neural and Behavioral Psychology Studies (14 papers), Neural dynamics and brain function (9 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Teodóra Vékony collaborates with scholars based in Hungary, France and United Kingdom. Teodóra Vékony's co-authors include Dezső Németh, Karolina Janacsek, László Vécsei, Anita Must, Gyula Kovács, Géza Gergely Ambrus, Péter Klivènyi, Romain Quentin, Zsigmond Tamás Kincses and Krisztián Kocsis and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Teodóra Vékony

30 papers receiving 280 citations

Peers

Teodóra Vékony

NEURO

DEP

Michael Freedberg United States

Shruti Dave United States

Taraz G. Lee United States

Matthew J. Weber United States

Martijn E. Wokke Netherlands

Luca Tarasi Italy

Melissa Hebscher Canada

Karim Johari United States

Hardik Kothare United States

Andre Chevrier Canada

Michael Freedberg United States

Teodóra Vékony

199 ×0.9

107 ×1.5

NEURO

23 ×0.5

DEP

21 ×0.8

10 ×0.4

Citations per year, relative to Teodóra Vékony Teodóra Vékony (= 1×) peers Michael Freedberg

Countries citing papers authored by Teodóra Vékony

Since Specialization

Citations

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

Fields of papers citing papers by Teodóra Vékony

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teodóra Vékony

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Vékony, Teodóra, et al.. (2025). Intact habit learning in work addiction: Evidence from a probabilistic sequence learning task. Addictive Behaviors Reports. 21. 100589–100589. 1 indexed citations

Simor, Péter, et al.. (2025). Mind Wandering during Implicit Learning Is Associated with Increased Periodic EEG Activity and Improved Extraction of Hidden Probabilistic Patterns. Journal of Neuroscience. 45(19). e1421242025–e1421242025. 2 indexed citations

Vékony, Teodóra, et al.. (2025). Game on or gone too far? Executive functioning and implicit sequence learning in problematic vs. recreational gamers. Computers in Human Behavior. 177. 108878–108878.

Takács, Ádám, Teodóra Vékony, Frédéric Haesebaert, et al.. (2025). Sequence-dependent predictive coding during the learning and rewiring of skills. Cerebral Cortex. 35(2).

Vékony, Teodóra, et al.. (2025). The interplay between executive functions and updating predictive representations. Scientific Reports. 15(1). 30555–30555. 1 indexed citations

Vékony, Teodóra, et al.. (2025). Enhancing retrieval capacity of the predictive brain through dorsolateral prefrontal cortex intervention. Cerebral Cortex. 35(2).

Vékony, Teodóra, et al.. (2025). Autistic traits relate to speed/accuracy trade-off but not statistical learning and updating. Scientific Reports. 15(1). 32001–32001.

Farkas, Kinga, et al.. (2024). Intact ultrafast memory consolidation in adults with autism and neurotypicals with autism traits. Brain Research. 1847. 149299–149299. 3 indexed citations

Németh, Dezső, Teodóra Vékony, Gábor Orosz, Zóltan Sarnyai, & Leor Zmigrod. (2024). The interplay between subcortical and prefrontal brain structures in shaping ideological belief formation and updating. Current Opinion in Behavioral Sciences. 57. 101385–101385.

10.

Vékony, Teodóra, Ádám Takács, Frédéric Haesebaert, et al.. (2023). Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning. Cerebral Cortex. 33(12). 7783–7796. 7 indexed citations

11.

Vékony, Teodóra, et al.. (2023). Nomen est omen: Serial reaction time task is not a motor but a visuomotor learning task. European Journal of Neuroscience. 58(4). 3111–3115. 6 indexed citations

12.

Vékony, Teodóra, et al.. (2023). Frontal two-electrode transcranial direct current stimulation protocols may not affect performance on a combined flanker Go/No-Go task. Scientific Reports. 13(1). 11901–11901. 1 indexed citations

13.

Vékony, Teodóra, et al.. (2023). Modulating Visuomotor Sequence Learning by Repetitive Transcranial Magnetic Stimulation: What Do We Know So Far?. Journal of Intelligence. 11(10). 201–201. 6 indexed citations

14.

Vékony, Teodóra, et al.. (2023). The neuropsychological profile of work addiction. Scientific Reports. 13(1). 20090–20090. 5 indexed citations

15.

Vékony, Teodóra, et al.. (2022). How does the length of short rest periods affect implicit probabilistic learning?. SHILAP Revista de lepidopterología. 2(1). 100078–100078. 5 indexed citations

16.

Vékony, Teodóra, et al.. (2022). Speed and accuracy instructions affect two aspects of skill learning differently. npj Science of Learning. 7(1). 27–27. 2 indexed citations

17.

Quentin, Romain, Marine Vernet, Teodóra Vékony, et al.. (2021). Statistical learning occurs during practice while high-order rule learning during rest period. npj Science of Learning. 6(1). 14–14. 20 indexed citations

18.

Vékony, Teodóra, et al.. (2020). Speed or Accuracy Instructions During Skill Learning do not Affect the Acquired Knowledge. Cerebral Cortex Communications. 1(1). tgaa041–tgaa041. 10 indexed citations

19.

Vékony, Teodóra, et al.. (2020). Retrieval of a well-established skill is resistant to distraction: Evidence from an implicit probabilistic sequence learning task. PLoS ONE. 15(12). e0243541–e0243541. 9 indexed citations

20.

Vékony, Teodóra, et al.. (2018). Continuous theta-burst stimulation over the dorsolateral prefrontal cortex inhibits improvement on a working memory task. Scientific Reports. 8(1). 14835–14835. 25 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.

Explore authors with similar magnitude of impact