World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
62
Citations
12158
World Ranking
3565
National Ranking
307

Gyula Kovács 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 Gyula Kovács 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: 220 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Gyula Kovács 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 Gyula Kovács 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: 62 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Gyula Kovács is affiliated with Friedrich Schiller University Jena in Germany. Their research primarily focuses on neuroscience with a strong emphasis on cognitive neuroscience.

The scientist has made contributions to several subfields, including:

  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Neurology

The core topics in their work cover a range of neuroscientific and psychological areas, notably:

  • Face Recognition and Perception
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Multisensory perception and integration
  • Visual perception and processing mechanisms
  • Evolutionary Psychology and Human Behavior
  • Psychology of Moral and Emotional Judgment

Recent publications include:

  • Getting to Know Someone: Familiarity, Person Recognition, and Identification in the Human Brain, 2020, Journal of Cognitive Neuroscience
  • Getting to Know You: Emerging Neural Representations during Face Familiarization, 2021, Journal of Neuroscience
  • When less is more: Enhanced statistical learning of non-adjacent dependencies after disruption of bilateral DLPFC, 2020, Journal of Memory and Language
  • Evaluating the evidence for expectation suppression in the visual system, 2021, Neuroscience & Biobehavioral Reviews
  • Disentangling predictive processing in the brain: a meta-analytic study in favour of a predictive network, 2021, Scientific Reports

Kovács frequently publishes in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cortex
  • Scientific Reports
  • Neuroscience & Biobehavioral Reviews
  • Journal of Cognitive Neuroscience

The scientist collaborates regularly with several coauthors, including:

  • Géza Gergely Ambrus
  • Chenglin Li
  • Linda Ficco
  • Charlotta Marina Eick
  • Alexia Dalski

Best Publications

  • A region of right posterior superior temporal sulcus responds to observed intentional actions.

    R Saxe;D.-K Xiao;G Kovacs;D.I Perrett

  • High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas.

    Maria V Yusenko;Roland P Kuiper;Tamas Boethe;Börje Ljungberg

  • Cortical correlate of pattern backward masking

    G Kovács;Rufin Vogels;Guy Orban

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

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

  • Apoptosis caused by oxidized LDL is manganese superoxide dismutase and p53 dependent

    Ralf Kinscherf;Ralf Claus;Martin Wagner;Christof Gehrke

  • Selectivity of macaque inferior temporal neurons for partially occluded shapes

    G Kovács;Rufin Vogels;Guy Orban

  • Postural control in athletes participating in an ironman triathlon

    Edit Nagy;Kalman Toth;Gabor Janositz;Gyula Kovacs

  • Oncocytoid renal cell carcinoma after neuroblastoma: a report of four cases of a distinct clinicopathologic entity.

    L. Medeiros;Gabriele Palmedo;Hannah Krigman;Gyula Kovacs

  • Induction of mitochondrial manganese superoxide dismutase in macrophages by oxidized LDL: its relevance in atherosclerosis of humans and heritable hyperlipidemic rabbits.

    Ralf Kinscherf;Hans-Peter Deigner;Claus Usinger;Johannes Pill

  • Can predictive coding explain repetition suppression

    Mareike Grotheer;Gyula Kovács

  • The Lateral Occipital Cortex in the Face Perception Network: An Effective Connectivity Study

    Krisztina Nagy;Mark W. Greenlee;Gyula Kovács

  • Neural Correlates of Visually Induced Self-Motion Illusion in Depth

    Gyula Kovács;Gyula Kovács;Markus Raabe;Mark W. Greenlee

  • Clonal chromosome aberrations in normal kidney tissue from patients with renal cell carcinoma.

    Gyula Kovacs;Paola Brusa

  • Nonhomologous chromatid exchange in hereditary and sporadic renal cell carcinomas.

    Gyula Kovacs;Hsiang-Fu Kung

  • Responses of monkey inferior temporal neurons to luminance-, motion-, and texture-defined gratings

    G Sáry;Rufin Vogels;G Kovács;Guy Orban

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

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

  • Adaptation effects of highly familiar faces: immediate and long lasting

    Claus-Christian Carbon;Tilo Strobach;Stephen R. H. Langton;Géza Harsányi

  • Short-duration transcranial random noise stimulation induces blood oxygenation level dependent response attenuation in the human motor cortex

    Leila Chaieb;Gyula Kovacs;Gyula Kovacs;Csaba Cziraki;Mark Greenlee

  • 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

Frequent Co-Authors

Zoltán Vidnyánszky
Zoltán Vidnyánszky University of Vienna
Stefan R. Schweinberger
Stefan R. Schweinberger Friedrich Schiller University Jena
Mark W. Greenlee
Mark W. Greenlee University of Regensburg
Andrea Antal
Andrea Antal University of Göttingen
Rufin Vogels
Rufin Vogels KU Leuven
György Benedek
György Benedek University of Szeged
Karolina Janacsek
Karolina Janacsek Eötvös Loránd University
Dezso Nemeth
Dezso Nemeth Eötvös Loránd University
Walter Paulus
Walter Paulus University of Göttingen
Szabolcs Kéri
Szabolcs Kéri Budapest University of Technology and Economics

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