2026 Kendrick Kay: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	42	7546	6959	3254	2940	160	9862

Overview

Kendrick Kay is affiliated with the University of Minnesota in the United States. Their research primarily focuses on neuroscience, with extensive work in cognitive neuroscience as a key subfield. Additional areas of study include computer vision and pattern recognition, radiology, nuclear medicine and imaging, artificial intelligence, and experimental and cognitive psychology.

Their research topics cover a broad spectrum related to brain function and perception. Main topics include neural dynamics and brain function, visual perception and processing mechanisms, face recognition and perception, functional brain connectivity studies, visual attention and saliency detection, neural and behavioral psychology studies, and memory and neural mechanisms.

Kendrick Kay has contributed to numerous publications across various scientific venues. The most frequent publication venues include:

bioRxiv (Cold Spring Harbor Laboratory)
Journal of Vision
Nature Communications
2022 Conference on Cognitive Computational Neuroscience
NeuroImage

Recent papers authored or co-authored by Kendrick Kay demonstrate research across multiple aspects of neuroscience and brain imaging. Notable papers are:

"A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence," 2021, Nature Neuroscience
"Extensive sampling for complete models of individual brains," 2021, Current Opinion in Behavioral Sciences
"Frontostriatal salience network expansion in individuals in depression," 2024, Nature
"Improving the accuracy of single-trial fMRI response estimates using GLMsingle," 2022, eLife
"Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset," 2023, Nature Machine Intelligence

Frequent collaborators include Thomas Naselaris, Emily Allen, Yihan Wu, Ian Charest, and another record of co-authoring with Thomas Naselaris.

The body of Kendrick Kay's work is situated at the intersection of neuroscience and computational methods, contributing significant data and models to understand brain function, visual processing, and related cognitive phenomena. Their contributions span experimental designs, imaging techniques, and computational models to explore neural connectivity and behavior.

Best Publications

Identifying natural images from human brain activity.

Kendrick N. Kay;Thomas Naselaris;Ryan J. Prenger;Jack L. Gallant;Jack L. Gallant

1598
Citations
Encoding and decoding in fMRI.

Thomas Naselaris;Kendrick N. Kay;Shinji Nishimoto;Jack L. Gallant;Jack L. Gallant

1043
Citations
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Unknown

656
Citations
Bayesian Reconstruction of Natural Images from Human Brain Activity

Thomas Naselaris;Ryan J. Prenger;Kendrick N. Kay;Michael Oliver

655
Citations
Compressive spatial summation in human visual cortex

Kendrick N. Kay;Jonathan Winawer;Aviv Mezer;Brian A. Wandell

374
Citations
Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging.

Aviv Mezer;Jason D. Yeatman;Nikola Stikov;Kendrick N. Kay

339
Citations
Evaluation and statistical inference for human connectomes

Franco Pestilli;Jason D Yeatman;Ariel Rokem;Kendrick N Kay

299
Citations
The Functional Neuroanatomy of Human Face Perception

Kalanit Grill-Spector;Kevin S. Weiner;Kendrick Kay;Jesse Gomez

274
Citations
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.

Kendrick N. Kay;Ariel Rokem;Jonathan Winawer;Robert F. Dougherty

269
Citations
Attention Reduces Spatial Uncertainty in Human Ventral Temporal Cortex

Kendrick N. Kay;Kevin S. Weiner;Kalanit Grill-Spector

245
Citations
The Human Connectome Project 7 Tesla retinotopy dataset: Description and population receptive field analysis.

Noah C. Benson;Keith W. Jamison;Keith W. Jamison;Michael J. Arcaro;An T. Vu

235
Citations
Topographic organization in and near human visual area V4.

Kathleen A. Hansen;Kendrick N. Kay;Jack L. Gallant

199
Citations
Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex

Jonathan Winawer;Kendrick N. Kay;Brett L. Foster;Andreas M. Rauschecker

196
Citations
Improving the accuracy of single-trial fMRI response estimates using GLMsingle

Unknown

172
Citations
Bottom-up and top-down computations in word- and face-selective cortex

Kendrick N Kay;Jason D Yeatman

167
Citations
Reward Motivation Enhances Task Coding in Frontoparietal Cortex

Joset A. Etzel;Michael W. Cole;Jeffrey M. Zacks;Kendrick N. Kay

161
Citations
Extensive sampling for complete models of individual brains

Thomas Naselaris;Emily J Allen;Kendrick Kay

153
Citations
A critical assessment of data quality and venous effects in sub-millimeter fMRI.

Kendrick N. Kay;Keith W. Jamison;Luca Vizioli;Ruyuan Zhang

126
Citations
Evaluating the Accuracy of Diffusion MRI Models in White Matter

Ariel Rokem;Jason D. Yeatman;Franco Pestilli;Kendrick N. Kay

114
Citations
Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models

Seyed Mahdi Khaligh-Razavi;Linda Henriksson;Kendrick Kay;Nikolaus Kriegeskorte

99
Citations
A two-stage cascade model of BOLD responses in human visual cortex.

Kendrick N. Kay;Jonathan Winawer;Ariel Rokem;Aviv Mezer

98
Citations
Resolving Ambiguities of MVPA Using Explicit Models of Representation

Thomas Naselaris;Kendrick N. Kay

98
Citations
Principles for models of neural information processing.

Kendrick N. Kay

97
Citations

Frequent Co-Authors

Jonathan Winawer New York University

Jack L. Gallant University of California, Berkeley

Kalanit Grill-Spector Stanford University

Kevin S. Weiner University of California, Berkeley

Brian A. Wandell Stanford University

Nikolaus Kriegeskorte Columbia University

Kamil Ugurbil University of Minnesota

Stephen A. Engel University of Minnesota

David J. Heeger New York University

Franco Pestilli The University of Texas at Austin

External Links

Personal website of Kendrick Kay

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