| Detection of change in shape: An advantage for concavities E Barenholtz, EH Cohen, J Feldman, M Singh Cognition 89 (1), 1-9, 2003 | 91 | 2003 |
| Visual comparisons within and between object parts: Evidence for a single-part superiority effect E Barenholtz, J Feldman Vision Research 43 (15), 1655-1666, 2003 | 87 | 2003 |
| What change detection tells us about the visual representation of shape EH Cohen, E Barenholtz, M Singh, J Feldman Journal of Vision 5 (4), 3-3, 2005 | 50 | 2005 |
| Matching voice and face identity from static images. LW Mavica, E Barenholtz Journal of Experimental Psychology: Human Perception and Performance 39 (2), 307, 2013 | 48 | 2013 |
| Language familiarity modulates relative attention to the eyes and mouth of a talker E Barenholtz, L Mavica, DJ Lewkowicz Cognition 147, 100-105, 2016 | 47 | 2016 |
| Context modeling in computer vision: techniques, implications, and applications O Marques, E Barenholtz, V Charvillat Multimedia Tools and Applications 51 (1), 303-339, 2011 | 38 | 2011 |
| Determination of visual figure and ground in dynamically deforming shapes E Barenholtz, J Feldman Cognition 101 (3), 530-544, 2006 | 34 | 2006 |
| Quantifying the role of context in visual object recognition E Barenholtz Visual Cognition 22 (1), 30-56, 2014 | 32 | 2014 |
| Reconsidering the role of structure in vision E Barenholtz, MJ Tarr Psychology of Learning and Motivation 47, 157-180, 2006 | 29 | 2006 |
| Visual judgment of similarity across shape transformations: Evidence for a compositional model of articulated objects E Barenholtz, MJ Tarr Acta psychologica 128 (2), 331-338, 2008 | 23 | 2008 |
| Figure–ground assignment to a translating contour: A preference for advancing vs. receding motion E Barenholtz, MJ Tarr Journal of Vision 9 (5), 27-27, 2009 | 18 | 2009 |
| Convexities move because they contain matter E Barenholtz Journal of Vision 10 (11), 19-19, 2010 | 17 | 2010 |
| Deep learning human actions from video via sparse filtering and locally competitive algorithms WE Hahn, S Lewkowitz, DC Lacombe, E Barenholtz Multimedia Tools and Applications 74 (22), 10097-10110, 2015 | 15 | 2015 |
| Categorical congruence facilitates multisensory associative learning E Barenholtz, DJ Lewkowicz, M Davidson, L Mavica Psychonomic bulletin & review 21 (5), 1346-1352, 2014 | 15 | 2014 |
| Intrinsic and contextual features in object recognition D Schlangen, E Barenholtz Journal of vision 15 (1), 28-28, 2015 | 9 | 2015 |
| Predicting Binding from Screening Assays with Transformer Network Embeddings P Morris, R Saint Clair, W Hahn, E Barenholtz Journal of Chemical Information and Modeling 60 (9), 4190-4199, 2020 | 7 | 2020 |
| Machine-learning approaches to substance-abuse research: emerging trends and their implications E Barenholtz, ND Fitzgerald, WE Hahn Current opinion in psychiatry 33 (4), 334-342, 2020 | 6 | 2020 |
| Quantifying the role of context in visual object recognition E Barenholtz Journal of Vision 9 (8), 800-800, 2009 | 5 | 2009 |
| Screening for early-stage Alzheimer’s disease using optimized feature sets and machine learning MJ Kleiman, E Barenholtz, JE Galvin, ... Journal of Alzheimer's Disease, 1-12, 2020 | 4 | 2020 |
| Convolutional neural networks for predicting molecular binding affinity to HIV-1 proteins P Morris, Y DaSilva, E Clark, WE Hahn, E Barenholtz Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 4 | 2018 |
