World's Best Scientists 2026 revealed!
Zoltán Vidnyánszky

Zoltán Vidnyánszky

D-Index & Metrics

Neuroscience

D-Index
31
Citations
3311
World Ranking
9586
National Ranking
58

Zoltán Vidnyánszky publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Zoltán Vidnyánszky sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 129 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Zoltán Vidnyánszky D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Zoltán Vidnyánszky sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 31 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Perception

Zoltán Vidnyánszky mainly focuses on Communication, Stimulus, Neuroscience, Cognitive psychology and Visual processing. His Communication research integrates issues from Motion, Color vision, Feature, N2pc and Tactile stimuli. His Stimulus research incorporates themes from Perception, Audiology, Categorization, Visual Physiology and Amygdala.

His Categorization research incorporates elements of Concept learning, Speech recognition, Insular cortex and Superior temporal sulcus. His Central nervous system and Fusiform face area study, which is part of a larger body of work in Neuroscience, is frequently linked to Subcellular localization, Postsynaptic potential and Metabotropic glutamate receptor, bridging the gap between disciplines. His Visual processing study combines topics in areas such as Face perception, Electrophysiology, fMRI adaptation and Brain mapping.

His most cited work include:

  • Electrophysiological Correlates of Visual Adaptation to Faces and Body Parts in Humans (184 citations)
  • Neural mechanisms for voice recognition (116 citations)
  • Neural mechanisms for voice recognition (116 citations)

What are the main themes of his work throughout his whole career to date?

Zoltán Vidnyánszky mostly deals with Neuroscience, Cognitive psychology, Stimulus, Artificial intelligence and Functional magnetic resonance imaging. The study incorporates disciplines such as Perceptual learning, Visual perception, Visual field and Face perception in addition to Cognitive psychology. Zoltán Vidnyánszky has included themes like Perception, Communication, Audiology, Speech recognition and Sensory system in his Stimulus study.

His research in Audiology focuses on subjects like Visual acuity, which are connected to Photic Stimulation. Zoltán Vidnyánszky combines subjects such as Resting state fMRI, Computer vision and Pattern recognition with his study of Artificial intelligence. His work deals with themes such as Neuroplasticity and Neuroimaging, which intersect with Functional magnetic resonance imaging.

He most often published in these fields:

  • Neuroscience (45.10%)
  • Cognitive psychology (39.22%)
  • Stimulus (47.06%)

What were the highlights of his more recent work (between 2014-2021)?

  • Cognitive psychology (39.22%)
  • Artificial intelligence (32.68%)
  • Functional magnetic resonance imaging (31.37%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Cognitive psychology, Artificial intelligence, Functional magnetic resonance imaging, Resting state fMRI and Pattern recognition. His biological study spans a wide range of topics, including Stimulus, Visual field and Face perception. Zoltán Vidnyánszky has researched Stimulus in several fields, including Surprise and Visual cortex.

The Artificial intelligence study combines topics in areas such as Weighting and Cognition. He studied Functional magnetic resonance imaging and Neuroimaging that intersect with Deep learning. Within one scientific family, he focuses on topics pertaining to Connectome under Resting state fMRI, and may sometimes address concerns connected to Dynamic time warping.

Between 2014 and 2021, his most popular works were:

  • Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. (46 citations)
  • Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. (46 citations)
  • Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping (43 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Neuroscience
  • Perception

Zoltán Vidnyánszky spends much of his time researching Functional magnetic resonance imaging, Resting state fMRI, Artificial intelligence, Pattern recognition and Cognitive psychology. His study with Functional magnetic resonance imaging involves better knowledge in Neuroscience. His Cognitive psychology research includes themes of Gaze, Visual processing, Visual perception and Face perception.

His work in the fields of Face perception, such as Fusiform face area, overlaps with other areas such as Identity. His research investigates the connection with Gyrus and areas like Perception which intersect with concerns in Stimulus. His Stimulus study integrates concerns from other disciplines, such as Peripheral, Lateralization of brain function and Visual field.

Best Publications

  • Electrophysiological Correlates of Visual Adaptation to Faces and Body Parts in Humans

    Gyula Kovács;Márta Zimmer;Éva Bankó;Éva Bankó;Irén Harza;Irén Harza

  • Neural mechanisms for voice recognition

    Attila Andics;Attila Andics;James M. McQueen;Karl Magnus Petersson;Viktor Gál;Viktor Gál

  • Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.

    Regina J. Meszlényi;Krisztian Buza;Zoltán Vidnyánszky;Zoltán Vidnyánszky

  • Implicit Attentional Selection of Bound Visual Features

    David Melcher;David Melcher;Thomas V. Papathomas;Zoltán Vidnyánszky;Zoltán Vidnyánszky

  • Cellular and subcellular localization of the mGluR5a metabotropic glutamate receptor in rat spinal cord.

    Zoltan Vidnyánszky;József Hamori;Lászlo Négyessy;Doris Rüegg

  • The use of CNN models in the subcortical visual pathway

    T. Roska;J. Hamori;E. Labos;K. Lotz

  • Direct current stimulation over MT+/V5 modulates motion aftereffect in humans.

    Andrea Antal;Edina T. Varga;Michael A. Nitsche;Zoltan Chadaide

  • Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping

    Regina Meszlényi;Regina Meszlényi;Petra Hermann;Krisztián Antal Buza;Viktor Gál

  • Immunocytochemical Visualization of the mG1uR1 a Metabotropic Glutamate Receptor at Synapses of Corticothalamic Terminals Originating from Area 17 of the Rat

    Zoltán Vidnyánszky;Tamás J. Görcs;László Négyessy;Zsolt Borostyánköi

  • Adaptation duration affects the spatial selectivity of facial aftereffects

    Gyula Kovács;Márta Zimmer;Irén Harza;Irén Harza;Zoltán Vidnyánszky;Zoltán Vidnyánszky

  • Position-specific and position-invariant face aftereffects reflect the adaptation of different cortical areas.

    Gyula Kovács;Csaba Cziraki;Csaba Cziraki;Zoltán Vidnyánszky;Zoltán Vidnyánszky;Stefan R. Schweinberger

  • Repetition Probability Does Not Affect fMRI Repetition Suppression for Objects

    Gyula Kovács;Gyula Kovács;Gyula Kovács;Daniel Kaiser;Daniel Kaiser;Dzmitry A. Kaliukhovich;Zoltán Vidnyánszky;Zoltán Vidnyánszky

  • Back-to-front: improved tactile discrimination performance in the space you cannot see.

    István Kóbor;László Füredi;Gyula Kovács;Charles Spence

  • Using diffusion MRI for measuring the temperature of cerebrospinal fluid within the lateral ventricles

    LR Kozak;M Bango;M Szabo;G Rudas

  • Dissociating the effect of noise on sensory processing and overall decision difficulty.

    Éva M. Bankó;Viktor Gál;Judit Körtvélyes;Gyula Kovács

  • Stimulus repetition probability effects on repetition suppression are position invariant for faces.

    Gyula Kovács;Lara Iffland;Zoltán Vidnyánszky;Zoltán Vidnyánszky;Mark W. Greenlee

  • Learning to suppress task-irrelevant visual stimuli with attention.

    Zoltán Vidnyánszky;Wonyeong Sohn

  • Position-specificity of facial adaptation.

    Gyula Kovács;Márta Zimmer;Irén Harza;Irén Harza;Andrea Antal

  • Attention-based perceptual learning increases binocular rivalry suppression of irrelevant visual features.

    Chris L E Paffen;Frans A J Verstraten;Zoltán Vidnyánszky

  • Smelling human sex hormone-like compounds affects face gender judgment of men.

    Gyula Kovács;Balázs Gulyás;Ivanka Savic;David I. Perrett

  • The use of CNN models in the subcortical visual pathway. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-16-1992)

    Tamás Roska;J. Hámori;E. Lábos;K. Lotz

Frequent Co-Authors

Gyula Kovács
Gyula Kovács Friedrich Schiller University Jena
David Melcher
David Melcher University of Trento
Andrea Antal
Andrea Antal University of Göttingen
Thomas Knöpfel
Thomas Knöpfel Hong Kong Baptist University
John T. Serences
John T. Serences University of California, San Diego
Mark W. Greenlee
Mark W. Greenlee University of Regensburg
Balázs Gulyás
Balázs Gulyás Nanyang Technological University
Karl Magnus Petersson
Karl Magnus Petersson University of Algarve
Frans A. J. Verstraten
Frans A. J. Verstraten University of Sydney
James M. McQueen
James M. McQueen Radboud University

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