Dezső Németh

4.5k total citations
137 papers, 2.7k citations indexed

About

Dezső Németh is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Dezső Németh has authored 137 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Cognitive Neuroscience, 37 papers in Developmental and Educational Psychology and 21 papers in Social Psychology. Recurrent topics in Dezső Németh's work include Neural dynamics and brain function (28 papers), Neural and Behavioral Psychology Studies (28 papers) and Child and Animal Learning Development (21 papers). Dezső Németh is often cited by papers focused on Neural dynamics and brain function (28 papers), Neural and Behavioral Psychology Studies (28 papers) and Child and Animal Learning Development (21 papers). Dezső Németh collaborates with scholars based in Hungary, France and United Kingdom. Dezső Németh's co-authors include Karolina Janacsek, József Fiser, Andrea Kóbor, Ádám Takács, Zsuzsa Londe, Kata Horváth, Michael T. Ullman, Zsófia Zavecz, James H. Howard and Darlene V. Howard and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dezső Németh

122 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dezső Németh Hungary 28 1.9k 837 440 313 267 137 2.7k
Karolina Janacsek Hungary 28 2.0k 1.0× 876 1.0× 422 1.0× 299 1.0× 191 0.7× 96 2.6k
Carter Wendelken United States 28 2.2k 1.1× 609 0.7× 670 1.5× 448 1.4× 357 1.3× 42 3.0k
Thierry Meulemans Belgium 26 1.7k 0.9× 1.0k 1.2× 480 1.1× 200 0.6× 569 2.1× 101 2.8k
Bruno Nazarian France 29 2.3k 1.2× 437 0.5× 625 1.4× 603 1.9× 209 0.8× 73 3.0k
Yee Lee Shing Germany 31 1.9k 1.0× 594 0.7× 649 1.5× 184 0.6× 339 1.3× 75 2.8k
Artur Marchewka Poland 28 1.8k 0.9× 544 0.6× 890 2.0× 556 1.8× 210 0.8× 107 2.9k
Stefan Heim Germany 31 2.6k 1.4× 1.5k 1.8× 586 1.3× 425 1.4× 383 1.4× 121 3.7k
Li Hai Tan Hong Kong 31 2.2k 1.1× 1.6k 1.9× 751 1.7× 316 1.0× 147 0.6× 78 3.1k
Anna Grabowska Poland 29 1.8k 0.9× 604 0.7× 693 1.6× 516 1.6× 295 1.1× 77 2.7k
Gregory J. DiGirolamo United States 16 1.6k 0.8× 493 0.6× 474 1.1× 465 1.5× 207 0.8× 34 2.4k

Countries citing papers authored by Dezső Németh

Since Specialization
Citations

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

Fields of papers citing papers by Dezső Németh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dezső Németh

This figure shows the co-authorship network connecting the top 25 collaborators of Dezső Németh. A scholar is included among the top collaborators of Dezső Németh 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 Dezső Németh. Dezső Németh 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.
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
2.
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
3.
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.
4.
Takács, Ádám, Teodóra Vékony, Frédéric Haesebaert, et al.. (2025). Sequence-dependent predictive coding during the learning and rewiring of skills. Cerebral Cortex. 35(2).
5.
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
6.
Cserjési, Renáta, et al.. (2024). The relationship between frontal alpha asymmetry and behavioral and brain activity indices of reactive inhibitory control. Journal of Neurophysiology. 132(2). 362–374.
7.
Takács, Ádám, et al.. (2024). Neural representations of statistical and rule‐based predictions in Gilles de la Tourette syndrome. Human Brain Mapping. 45(8). e26719–e26719. 1 indexed citations
8.
Krajcsi, Attila, et al.. (2023). The complexity of measuring reliability in learning tasks: An illustration using the Alternating Serial Reaction Time Task. Behavior Research Methods. 56(1). 301–317. 17 indexed citations
9.
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
10.
Fagot, Joël, et al.. (2022). The Evolution of Chunks in Sequence Learning. Cognitive Science. 46(4). e13124–e13124. 14 indexed citations
11.
Németh, Dezső, et al.. (2022). Measuring statistical learning by eye-tracking. SHILAP Revista de lepidopterología. 3. 6 indexed citations
12.
Takács, Ádám, Alexander Münchau, Dezső Németh, Veit Roessner, & Christian Beste. (2021). Lower‐level associations in Gilles de la Tourette syndrome: Convergence between hyperbinding of stimulus and response features and procedural hyperfunctioning theories. European Journal of Neuroscience. 54(3). 5143–5160. 9 indexed citations
13.
Tárnok, Zsanett, Karolina Janacsek, Andrea Kóbor, et al.. (2021). Dissociation between two aspects of procedural learning in Tourette syndrome: Enhanced statistical and impaired sequence learning. Child Neuropsychology. 27(6). 799–821. 14 indexed citations
14.
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
15.
Janacsek, Karolina, et al.. (2019). Do adolescents take more risks? Not when facing a novel uncertain situation. Cognitive Development. 50. 105–117. 5 indexed citations
16.
Kóbor, Andrea, Ádám Takács, Zsófia Kardos, et al.. (2018). ERPs differentiate the sensitivity to statistical probabilities and the learning of sequential structures during procedural learning. Biological Psychology. 135. 180–193. 45 indexed citations
17.
Takács, Ádám, Andrea Kóbor, Karolina Janacsek, et al.. (2015). High trait anxiety is associated with attenuated feedback-related negativity in risky decision making. Neuroscience Letters. 600. 188–192. 37 indexed citations
18.
Janacsek, Karolina, et al.. (2014). The effect of negative mood and major depressive episode on working memory and implicit learning.. PubMed. 16(1). 29–42. 8 indexed citations
19.
Németh, Dezső, et al.. (2009). 80 YEARS' HISTORY OF PSYCHOLOGY IN THE UNIVERSITY OF SZEGED (1929-2009) (A lelektan tortenetenek 80 eve a szegedi egyetemen - 1929-2009). 64(4). 671–676. 2 indexed citations
20.
Racsmány, Mihály, et al.. (2005). Hungarian diagnostic tools of verbal working memory functions. 60(60). 479–506. 4 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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