2026 H. Steven Scholte: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	46	6694	6158	186	174	150	8142

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

6694

6158

186

174

150

8142

Overview

H. Steven Scholte is affiliated with the University of Amsterdam in the Netherlands. Their research spans multiple areas within neuroscience, with a predominant focus on cognitive neuroscience and computational approaches to understanding brain function.

Their work encompasses main fields such as Neuroscience and subfields including Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, and Electrical and Electronic Engineering.

Key research topics covered by Scholte include:

Neural dynamics and brain function
Visual perception and processing mechanisms
Face Recognition and Perception
Neural and Behavioral Psychology Studies
EEG and Brain-Computer Interfaces
Visual Attention and Saliency Detection
Advanced Image and Video Retrieval Techniques

Recent publications authored or co-authored by Scholte reflect a range of investigations primarily related to vision, cognitive processing, and neural mechanisms. Selected papers include:

The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses (2021), published in Scientific Data
Choosing to view morbid information involves reward circuitry (2020), published in Scientific Reports
On the Necessity of Recurrent Processing during Object Recognition: It Depends on the Need for Scene Segmentation (2021), published in Journal of Neuroscience
Depth in convolutional neural networks solves scene segmentation (2020), published in PLoS Computational Biology
Testing, explaining, and exploring models of facial expressions of emotions (2023), published in Science Advances

Scholte frequently collaborates with several co-authors, including:

Noor Seijdel
Lynn K. A. Sörensen
Edward H.F. de Haan
Sander M. Bohté
Lukas Snoek

The most common venues for Scholte's publications include:

bioRxiv (Cold Spring Harbor Laboratory)
Journal of Vision
Journal of Cognitive Neuroscience
PLoS Computational Biology
Scientific Reports

Best Publications

Increased structural connectivity in Grapheme-Color Synesthesia

Romke Rouw;Steven Scholte

601
Citations
Are there multiple visual short-term memory stores?

Ilja G. Sligte;H. Steven Scholte;Victor A. F. Lamme;Victor A. F. Lamme

582
Citations
Masking Disrupts Reentrant Processing in Human Visual Cortex

J. J. Fahrenfort;H. S. Scholte;V. A. F. Lamme

465
Citations
Frontal cortex mediates unconsciously triggered inhibitory control

Simon van Gaal;K. Richard Ridderinkhof;Johannes J. Fahrenfort;H. Steven Scholte

387
Citations
Unconscious Activation of the Prefrontal No-Go Network

Simon van Gaal;K. Richard Ridderinkhof;H. Steven Scholte;Victor A. F. Lamme

328
Citations
Function and structure of the right inferior frontal cortex predict individual differences in response inhibition: A model-based approach

Birte U. Forstmann;Sara Jahfari;H. Steven Scholte;Uta Wolfensteller

294
Citations
Bottom-up and top-down attention are independent.

Yair Pinto;Andries R van der Leij;Ilja G Sligte;Victor A F Lamme

269
Citations
GABA shapes the dynamics of bistable perception

Anouk M. van Loon;Tomas Knapen;H. Steven Scholte;Elexa St. John-Saaltink;Elexa St. John-Saaltink

227
Citations
Brain areas involved in synaesthesia: a review.

Romke Rouw;H. Steven Scholte;Olympia Colizoli

210
Citations
V4 activity predicts the strength of visual short-term memory representations

I.G. Sligte;H.S. Scholte;V.A.F. Lamme

180
Citations
Brain responses strongly correlate with Weibull image statistics when processing natural images

H.S. Scholte;S. Ghebreab;L. Waldorp;Arnold Smeulders

176
Citations
From Image Statistics to Scene Gist: Evoked Neural Activity Reveals Transition from Low-Level Natural Image Structure to Scene Category

I.I.A. Groen;S. Ghebreab;H. Prins;V.A.F. Lamme

172
Citations
Detailed sensory memory, sloppy working memory

Ilja G. Sligte;Annelinde R. E. Vandenbroucke;H. Steven Scholte;Victor A. F. Lamme

167
Citations
Neural Basis of Individual Differences in Synesthetic Experiences

Unknown

164
Citations
Feedforward and recurrent processing in scene segmentation: Electroencephalography and functional magnetic resonance imaging

H. Steven Scholte;Jacob Jolij;Johannes J. Fahrenfort;Victor A. F. Lamme

163
Citations
Confuse Your Illusion Feedback to Early Visual Cortex Contributes to Perceptual Completion

Martijn E. Wokke;Annelinde R. E. Vandenbroucke;H. Steven Scholte;Victor A. F. Lamme

157
Citations
The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses.

Lukas Snoek;Maite M. van der Miesen;Maite M. van der Miesen;Tinka Beemsterboer;Andries van der Leij

156
Citations
How to control for confounds in decoding analyses of neuroimaging data.

Lukas Snoek;Steven Miletić;H. Steven Scholte

154
Citations
A neural substrate for atypical low-level visual processing in autism spectrum disorder.

Myriam W. G. Vandenbroucke;H. Steven Scholte;Herman van Engeland;Victor A. F. Lamme

141
Citations
Neural pattern similarity predicts long-term fear memory

Renée M Visser;H Steven Scholte;Tinka Beemsterboer;Merel Kindt

133
Citations
Mind the Gap: A Psychometric Approach to the Reduction Problem

Rogier A. Kievit;Jan-Willem Romeijn;Lourens J. Waldorp;Jelte M. Wicherts

110
Citations