World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
45
Citations
10921
World Ranking
6831
National Ranking
532

Zoe Kourtzi 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 Zoe Kourtzi 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: 221 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.

Zoe Kourtzi 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 Zoe Kourtzi 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Zoe Kourtzi is affiliated with the University of Cambridge in the United Kingdom. Their research is concentrated within the fields of neuroscience and medicine, with a particular focus on cognitive neuroscience and its intersections with artificial intelligence, psychiatry and mental health, neurology, and radiology.

Their recent publications reflect a strong engagement with topics related to brain function, neurodegeneration, and the advancement of machine learning techniques in healthcare. Selected recent papers include:

  • "GABA and glutamate deficits from frontotemporal lobar degeneration are associated with disinhibition" (2020, Brain)
  • "Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease" (2020, NeuroImage Clinical)
  • "Recurrent Processing Drives Perceptual Plasticity" (2020, Current Biology)
  • "Neurodegenerative disease of the brain: a survey of interdisciplinary approaches" (2023, Journal of The Royal Society Interface)
  • "A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation" (2022, Nature Communications)

Frequent coauthors contributing to collaborative work with Kourtzi include Joseph Giorgio, Peter Tiňo, Ke Jia, Elisa Zamboni, and Rainer Goebel.

A number of publication venues have hosted Kourtzi's research, demonstrating a presence in interdisciplinary and domain-specific journals and platforms. These venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer's & Dementia
  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition
  • Apollo (University of Cambridge)

Kourtzi's work covers several main research topics, notably:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Advanced MRI Techniques and Applications
  • Machine Learning in Healthcare
  • Neurological Disease Mechanisms and Treatments

Overall, their contributions reflect an integration of advanced neuroimaging, computational modeling, and clinical research to address cognitive decline and neurodegenerative diseases. This body of work is situated at the intersection of neuroscience and technology, exploring biological data through interpretable machine learning and interdisciplinary approaches.

Best Publications

  • The lateral occipital complex and its role in object recognition.

    Kalanit Grill-Spector;Zoe Kourtzi;Nancy Kanwisher;Nancy Kanwisher

  • Representation of Perceived Object Shape by the Human Lateral Occipital Complex

    Zoe Kourtzi;Nancy Kanwisher;Nancy Kanwisher

  • Activation in Human MT/MST by Static Images with Implied Motion

    Zoe Kourtzi;Nancy Kanwisher

  • Cortical Regions Involved in Perceiving Object Shape

    Zoe Kourtzi;Nancy Kanwisher

  • Integration of Local Features into Global Shapes: Monkey and Human fMRI Studies

    Zoe Kourtzi;Andreas S Tolias;Christian F Altmann;Marc Augath

  • Perceptual organization of local elements into global shapes in the human visual cortex.

    Christian F. Altmann;Heinrich H. Bülthoff;Zoe Kourtzi

  • Representation of the Perceived 3-D Object Shape in the Human Lateral Occipital Complex

    Zoe Kourtzi;Michael Erb;Wolfgang Grodd;Heinrich H. Bülthoff

  • 3D shape perception from combined depth cues in human visual cortex.

    Andrew E Welchman;Arne Deubelius;Verena Conrad;Heinrich H Bülthoff

  • Distributed neural plasticity for shape learning in the human visual cortex.

    Zoe Kourtzi;Lisa R Betts;Pegah Sarkheil;Andrew E Welchman

  • Neural Representations for Object Perception: Structure, Category, and Adaptive Coding

    Zoe Kourtzi;Charles E. Connor

  • Multivoxel Pattern Selectivity for Perceptually Relevant Binocular Disparities in the Human Brain

    Tim J Preston;Shengqiao Li;Zoe Kourtzi;Andrew E Welchman

  • Object-selective responses in the human motion area MT/MST

    Zoe Kourtzi;Heinrich H. Bülthoff;Michael Erb;Wolfgang Grodd

  • Learning Shapes the Representation of Behavioral Choice in the Human Brain

    Shengqiao Li;Stephen D Mayhew;Zoe Kourtzi

  • Flexible coding for categorical decisions in the human brain.

    Shengqiao Li;Dirk Ostwald;Martin Giese;Zoe Kourtzi

  • Implied motion from form in the human visual cortex.

    Bart Krekelberg;Argiro Vatakis;Zoe Kourtzi

  • A matching advantage for dynamic human faces.

    Ian M Thornton;Zoe Kourtzi

  • Neural coding of global form in the human visual cortex.

    Dirk Ostwald;Judith M Lam;Shengqiao Li;Zoe Kourtzi

  • Learning and neural plasticity in visual object recognition.

    Zoe Kourtzi;James J DiCarlo

  • Linking form and motion in the primate brain

    Zoe Kourtzi;Bart Krekelberg;Richard J.A. van Wezel

  • Spatiotemporal characteristics of form analysis in the human visual cortex revealed by rapid event-related fMRI adaptation.

    Zoe Kourtzi;Elisabeth Huberle

  • Neural substrates for action understanding at different description levels in the human brain

    Vaia Lestou;Frank E. Pollick;Zoe Kourtzi

Frequent Co-Authors

Martin A. Giese
Martin A. Giese University of Tübingen
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Peter Tino
Peter Tino University of Birmingham
Nikos K. Logothetis
Nikos K. Logothetis Chinese Academy of Sciences
Rainer Goebel
Rainer Goebel Maastricht University
Wolfgang Grodd
Wolfgang Grodd Max Planck Institute for Biological Cybernetics
Andreas S. Tolias
Andreas S. Tolias Baylor College of Medicine
Guy B. Williams
Guy B. Williams University of Cambridge
Maggie Shiffrar
Maggie Shiffrar Rutgers, The State University of New Jersey

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