2026 Russell A. Epstein: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	52	5218	4793	2335	2110	127	15777

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

5218

4793

2335

2110

127

15777

Overview

Russell A. Epstein is affiliated with the University of Pennsylvania in the United States. Their research centers on neuroscience, computer science, and engineering, with a particular focus on cognitive neuroscience, automotive engineering, computer vision and pattern recognition, artificial intelligence, and sensory systems.

The scientist's main topics of investigation include:

Memory and Neural Mechanisms
Spatial Cognition and Navigation
Visual Attention and Saliency Detection
Cognitive Science and Mapping
Olfactory and Sensory Function Studies
Multisensory Perception and Integration
Face Recognition and Perception

Russell A. Epstein has published frequently in several venues, including:

bioRxiv (Cold Spring Harbor Laboratory)
Journal of Vision
Nature Communications
Current Biology
Trends in Cognitive Sciences

Recent notable publications include:

Structuring Knowledge with Cognitive Maps and Cognitive Graphs, 2020, Trends in Cognitive Sciences
Object representations in the human brain reflect the co-occurrence statistics of vision and language, 2021, Nature Communications
The parahippocampal place area and hippocampus encode the spatial significance of landmark objects, 2021, NeuroImage
The human brain uses spatial schemas to represent segmented environments, 2021, Current Biology
Exploration patterns shape cognitive map learning, 2022, Cognition

The scientist collaborates frequently with several researchers, including:

Michael Peer
Joshua B. Julian
Michael Bonner
Alexandra T. Keinath
Iva K. Brunec

Russell A. Epstein's work integrates approaches from cognitive neuroscience and computer science to explore how the human brain represents and processes visual and spatial information. This interdisciplinary research contributes to understanding neural mechanisms underlying navigation, memory, and perception. Their investigations also involve computational modeling and artificial intelligence methodologies applied to sensory processing and mapping.

Best Publications

A cortical representation of the local visual environment

Russell Epstein;Nancy Kanwisher

3797
Citations
Parahippocampal and retrosplenial contributions to human spatial navigation.

Russell A. Epstein

1072
Citations
The parahippocampal place area: recognition, navigation, or encoding?

Russell Epstein;Alison Harris;Damian Stanley;Nancy Kanwisher;Nancy Kanwisher

1056
Citations
The cognitive map in humans: spatial navigation and beyond

Russell A Epstein;Eva Zita Patai;Joshua B Julian;Hugo J Spiers

915
Citations
'Insight' in the pigeon: antecedents and determinants of an intelligent performance.

R. Epstein;C. E. Kirshnit;R. P. Lanza;L. C. Rubin

531
Citations
Viewpoint-specific scene representations in human parahippocampal cortex

Russell Epstein;Russell Epstein;Kim Samantha Graham;Paul E. Downing

514
Citations
Where Am I Now? Distinct Roles for Parahippocampal and Retrosplenial Cortices in Place Recognition

Russell A Epstein;Whitney E Parker;Alana M Feiler

413
Citations
Perceptual deficits in amnesia: challenging the medial temporal lobe 'mnemonic' view.

Andy C. H. Lee;Tim J. Bussey;Elisabeth A. Murray;Lisa M. Saksida

381
Citations
Scene Perception in the Human Brain.

Russell A Epstein;Chris I Baker

339
Citations
Variations in Cognitive Maps: Understanding Individual Differences in Navigation

Steven M. Weisberg;Victor R. Schinazi;Nora S. Newcombe;Thomas F. Shipley

327
Citations
Anchoring the neural compass: coding of local spatial reference frames in human medial parietal lobe.

Steven A Marchette;Lindsay K Vass;Jack Ryan;Russell A Epstein

323
Citations
Structuring Knowledge with Cognitive Maps and Cognitive Graphs.

Michael Peer;Iva K. Brunec;Nora S. Newcombe;Russell A. Epstein

270
Citations
Hippocampal size predicts rapid learning of a cognitive map in humans

Victor R. Schinazi;Daniele Nardi;Nora S. Newcombe;Thomas F. Shipley

250
Citations
Distances between Real-World Locations Are Represented in the Human Hippocampus

Lindsay K. Morgan;Sean P. MacEvoy;Geoffrey K. Aguirre;Russell A. Epstein

250
Citations
Coding of navigational affordances in the human visual system.

Michael F. Bonner;Russell A. Epstein

213
Citations
Neural systems for landmark-based wayfinding in humans.

Russell A. Epstein;Lindsay K. Vass

208
Citations
Neuropsychological evidence for a topographical learning mechanism in parahippocampal cortex

Russell Epstein;Edgar A. DeYoe;Daniel Z. Press;Allyson C. Rosen

206
Citations
Visual scene processing in familiar and unfamiliar environments.

Russell A. Epstein;J. Stephen Higgins;Karen Jablonski;Alana M. Feiler

202
Citations
Differential parahippocampal and retrosplenial involvement in three types of visual scene recognition.

Russell A. Epstein;J. Stephen Higgins

200
Citations
Learning Places from Views: Variation in Scene Processing as a Function of Experience and Navigational Ability

Russell A. Epstein;J. Stephen Higgins;Sharon L. Thompson-schill

190
Citations