| Psychological responses to natural patterns in architecture A Coburn, O Kardan, H Kotabe, J Steinberg, MC Hout, A Robbins, ... Journal of Environmental Psychology 62, 133-145, 2019 | 180 | 2019 |
| Using multidimensional scaling to quantify similarity in visual search and beyond MC Hout, HJ Godwin, G Fitzsimmons, A Robbins, T Menneer, ... Attention, Perception, & Psychophysics 78, 3-20, 2016 | 59 | 2016 |
| Examination of the Traffic Safety Environment During the Second Quarter of 2020 E Wagner, R Atkins, A Berning, A Robbins, C Watson, J Anderle National Highway Traffic Safety Administration, 2020 | 50* | 2020 |
| Categorical templates are more useful when features are consistent: Evidence from eye movements during search for societally important vehicles MC Hout, A Robbins, HJ Godwin, G Fitzsimmons, C Scarince Attention, Perception, & Psychophysics 79, 1578-1592, 2017 | 42 | 2017 |
| Categorical target templates: Typical category members are found and identified quickly during word-cued search A Robbins, MC Hout Visual Cognition 23 (7), 817-821, 2015 | 22 | 2015 |
| Eye movements reflect expertise development in hybrid search MH Papesh, MC Hout, JD Guevara Pinto, A Robbins, A Lopez Cognitive research: principles and implications 6, 1-20, 2021 | 17 | 2021 |
| How scientists use statistics, samples, and probability to answer research questions J Sendef, A Robbins Front. Young Minds 7, 118, 2019 | 13 | 2019 |
| Simulating the fidelity of data for large stimulus set sizes and variable dimension estimation in multidimensional scaling MC Hout, CA Cunningham, A Robbins, J MacDonald SAGE Open 8 (2), 2158244018773143, 2018 | 12 | 2018 |
| Scene priming provides clues about target appearance that improve attentional guidance during categorical search. A Robbins, MC Hout Journal of Experimental Psychology: Human Perception and Performance 46 (2), 220, 2020 | 11 | 2020 |
| Typicality guides attention during categorical search, but not universally so A Robbins, MC Hout Quarterly Journal of Experimental Psychology 73 (11), 1977-1999, 2020 | 8 | 2020 |
| You’re looking for what? Comparing search for familiar, nameable objects to search for unfamiliar, novel objects J Madrid, CA Cunningham, A Robbins, MC Hout Visual Cognition 27 (1), 8-20, 2019 | 5 | 2019 |
| Look into my eyes A ROBBINS, MC HOUT Scientific American Mind 26 (1), 54-61, 2015 | 3 | 2015 |
| Using Multidimensional Scaling to Quantify Category Heterogeneity Effects in Visual Search AS Robbins, K Scherer, E Sabic, J MacDonald, A Ercolino, J Schmidt, ... Journal of Vision 19 (10), 318b-318b, 2019 | 2 | 2019 |
| Exploring the nature of mental representations in hybrid visual and memory search J Madrid, C Cunningham, A Robbins, H Godwin, J Wolfe, M Hout Journal of Vision 16 (12), 341-341, 2016 | 2 | 2016 |
| Don’t label me!: Search for familiar, nameable objects vs. search for unfamiliar, novel objects J Madrid, CA Cunningham, A Robbins, MC Hout Object Perception, Attention, and Memory (OPAM), 2015 | 2 | 2015 |
| Us department of transportation nhtsa E Wagner, R Atkins, A Berning, A Robbins, C Watson Washington, DC: National Highway Traffic Safety Administration, 2020 | 1 | 2020 |
| Find one fast, or find them all slow: Do collaborative visual searchers search more quickly or more thoroughly? A Lopez, G Bennett, A Robbins, H Godwin, M Hout Journal of Vision 16 (12), 1001-1001, 2016 | 1 | 2016 |
| Object categorization performance modeled using multidimensional scaling and category-consistent features M Hout, J Maxfield, A Robbins, G Zelinsky Journal of Vision 16 (12), 250-250, 2016 | 1 | 2016 |
| Drop the beat & miss T2: How various dimensions of music influence attentional failures J Madrid, A Robbins, M Hout Journal of Vision 15 (12), 438-438, 2015 | 1 | 2015 |
| Using Your Brain (Not Just Your Eyes) to Find Lost Objects A Robbins, MC Hout | 1 | |
