| The dynamics of perceptual learning: an incremental reweighting model. AA Petrov, BA Dosher, ZL Lu Psychological review 112 (4), 715, 2005 | 334 | 2005 |
| Integrating memory and reasoning in analogy-making: The AMBR model B Kokinov, A Petrov The analogical mind: Perspectives from cognitive science, 59-124, 2001 | 251 | 2001 |
| Task precision at transfer determines specificity of perceptual learning PE Jeter, BA Dosher, A Petrov, ZL Lu Journal of vision 9 (3), 1-1, 2009 | 201 | 2009 |
| Mapping and correcting the influence of gaze position on pupil size measurements TR Hayes, AA Petrov Behavior Research Methods 48, 510-527, 2016 | 169 | 2016 |
| The dynamics of scaling: a memory-based anchor model of category rating and absolute identification. AA Petrov, JR Anderson Psychological review 112 (2), 383, 2005 | 132 | 2005 |
| Perceptual learning without feedback in non-stationary contexts: Data and model AA Petrov, BA Dosher, ZL Lu Vision research 46 (19), 3177-3197, 2006 | 114 | 2006 |
| A novel method for analyzing sequential eye movements reveals strategic influence on Raven's Advanced Progressive Matrices TR Hayes, AA Petrov, PB Sederberg Journal of Vision 11 (10), 10-10, 2011 | 113 | 2011 |
| Do we really become smarter when our fluid-intelligence test scores improve? TR Hayes, AA Petrov, PB Sederberg Intelligence 48, 1-14, 2015 | 108 | 2015 |
| A methodology for point-in-time-through-the-cycle probability of default decomposition in risk classification systems M Carlehed, A Petrov The Journal of Risk Model Validation 6 (3), 3, 2012 | 61 | 2012 |
| Dissociable perceptual-learning mechanisms revealed by diffusion-model analysis AA Petrov, NM Van Horn, R Ratcliff Psychonomic bulletin & review 18, 490-497, 2011 | 60 | 2011 |
| Pupil diameter tracks the exploration–exploitation trade-off during analogical reasoning and explains individual differences in fluid intelligence TR Hayes, AA Petrov Journal of cognitive neuroscience 28 (2), 308-318, 2016 | 51 | 2016 |
| Computationally efficient approximation of the base-level learning equation in ACT-R AA Petrov Proceedings of the seventh international conference on cognitive modeling …, 2006 | 42 | 2006 |
| Learning representations that support extrapolation T Webb, Z Dulberg, S Frankland, A Petrov, R O’Reilly, J Cohen International conference on machine learning, 10136-10146, 2020 | 35 | 2020 |
| Dynamic extension of episode representation in analogy-making in AMBR B Kokinov, A Petrov Proceedings of the 22nd Annual Conference of the Cognitive Science Society …, 2000 | 31 | 2000 |
| Новогодняя поэзия в России: от Тредиаковского до Бенедиктова АВ Петров Магнитогорский гос. ун-т, 2009 | 27 | 2009 |
| Processing symbols at variable speed in DUAL: Connectionist activation as power supply AA Petrov, BN Kokinov IJCAI, 846-851, 1999 | 26 | 1999 |
| Multiplicatively idempotent semirings EM Vechtomov, AA Petrov Journal of Mathematical Sciences 206 (6), 634-653, 2015 | 23 | 2015 |
| Symmetry-based methodology for decision-rule identification in same-different experiments AA Petrov Psychonomic Bulletin & Review 16, 1011-1025, 2009 | 22 | 2009 |
| Principles of model construction PS Krasnoshchekov, AA Petrov Fazis, Moscow, 2000 | 20 | 2000 |
| ANCHOR: A memory-based model of category rating AA Petrov, JR Anderson Proceedings of the Annual Meeting of the Cognitive Science Society 22 (22), 2000 | 19 | 2000 |
