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 Kendrick Kay sits on this spectrum.
This scientist: 160 publications — 47th percentile
47% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 887 publications or more.
The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Kendrick Kay sits on this spectrum.
This scientist: 42 D-Index — 22nd percentile
22% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 163 D-Index or more.
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:
Recent papers authored or co-authored by Kendrick Kay demonstrate research across multiple aspects of neuroscience and brain imaging. Notable papers are:
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.
Kendrick N. Kay;Thomas Naselaris;Ryan J. Prenger;Jack L. Gallant;Jack L. Gallant
Thomas Naselaris;Kendrick N. Kay;Shinji Nishimoto;Jack L. Gallant;Jack L. Gallant
Unknown
Thomas Naselaris;Ryan J. Prenger;Kendrick N. Kay;Michael Oliver
Kendrick N. Kay;Jonathan Winawer;Aviv Mezer;Brian A. Wandell
Aviv Mezer;Jason D. Yeatman;Nikola Stikov;Kendrick N. Kay
Franco Pestilli;Jason D Yeatman;Ariel Rokem;Kendrick N Kay
Kalanit Grill-Spector;Kevin S. Weiner;Kendrick Kay;Jesse Gomez
Kendrick N. Kay;Ariel Rokem;Jonathan Winawer;Robert F. Dougherty
Kendrick N. Kay;Kevin S. Weiner;Kalanit Grill-Spector
Noah C. Benson;Keith W. Jamison;Keith W. Jamison;Michael J. Arcaro;An T. Vu
Kathleen A. Hansen;Kendrick N. Kay;Jack L. Gallant
Jonathan Winawer;Kendrick N. Kay;Brett L. Foster;Andreas M. Rauschecker
Unknown
Kendrick N Kay;Jason D Yeatman
Joset A. Etzel;Michael W. Cole;Jeffrey M. Zacks;Kendrick N. Kay
Thomas Naselaris;Emily J Allen;Kendrick Kay
Kendrick N. Kay;Keith W. Jamison;Luca Vizioli;Ruyuan Zhang
Ariel Rokem;Jason D. Yeatman;Franco Pestilli;Kendrick N. Kay
Seyed Mahdi Khaligh-Razavi;Linda Henriksson;Kendrick Kay;Nikolaus Kriegeskorte
Kendrick N. Kay;Jonathan Winawer;Ariel Rokem;Aviv Mezer
Thomas Naselaris;Kendrick N. Kay
Kendrick N. Kay
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