| Diffusion models in experimental psychology A Voss, M Nagler, V Lerche Experimental psychology, 2013 | 351 | 2013 |
| Assessing cognitive processes with diffusion model analyses: A tutorial based on fast-dm-30 A Voss, J Voss, V Lerche Frontiers in psychology 6, 336, 2015 | 166 | 2015 |
| How many trials are required for parameter estimation in diffusion modeling? A comparison of different optimization criteria V Lerche, A Voss, M Nagler Behavior research methods 49 (2), 513-537, 2017 | 105 | 2017 |
| Model complexity in diffusion modeling: Benefits of making the model more parsimonious V Lerche, A Voss Frontiers in psychology 7, 1324, 2016 | 94 | 2016 |
| The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RPPP Grasman, ... Psychonomic bulletin & review 26 (4), 1051-1069, 2019 | 93 | 2019 |
| Retest reliability of the parameters of the Ratcliff diffusion model V Lerche, A Voss Psychological research 81 (3), 629-652, 2017 | 72 | 2017 |
| Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations U Boehm, J Annis, MJ Frank, GE Hawkins, A Heathcote, D Kellen, ... Journal of Mathematical Psychology 87, 46-75, 2018 | 55 | 2018 |
| Experimental validation of the diffusion model based on a slow response time paradigm V Lerche, A Voss Psychological research 83 (6), 1194-1209, 2019 | 47 | 2019 |
| A diffusion model analysis of the response-effect compatibility effect. M Janczyk, V Lerche Journal of Experimental Psychology: General 148 (2), 237, 2019 | 29 | 2019 |
| Interindividual differences in the intraindividual association of competence and well‐being: Combining experimental and intensive longitudinal designs AB Neubauer, V Lerche, A Voss Journal of Personality 86 (4), 698-713, 2018 | 28 | 2018 |
| Diffusion modeling and intelligence: Drift rates show both domaingeneral and domain-specific relations with intelligence V Lerche, M von Krause, A Voss, GT Frischkorn, AL Schubert, ... Journal of Experimental Psychology: General, 0 | 28* | |
| Speed–accuracy manipulations and diffusion modeling: Lack of discriminant validity of the manipulation or of the parameter estimates? V Lerche, A Voss Behavior Research Methods 50 (6), 2568-2585, 2018 | 24 | 2018 |
| Sequential sampling models with variable boundaries and non-normal noise: A comparison of six models A Voss, V Lerche, U Mertens, J Voss Psychonomic bulletin & review 26 (3), 813-832, 2019 | 20 | 2019 |
| Documented decision-making strategies and decision knowledge in open source projects: An empirical study on Firefox issue reports TM Hesse, V Lerche, M Seiler, K Knoess, B Paech Information and Software Technology 79, 36-51, 2016 | 19 | 2016 |
| Effects of implicit fear of failure on cognitive processing: A diffusion model analysis V Lerche, AB Neubauer, A Voss Motivation and Emotion 42 (3), 386-402, 2018 | 18 | 2018 |
| Age differences in diffusion model parameters: a meta-analysis M Theisen, V Lerche, M von Krause, A Voss Psychological Research 85 (5), 2012-2021, 2021 | 17* | 2021 |
| Impact of context information on metaphor elaboration V Lerche, U Christmann, A Voss Experimental Psychology, 2019 | 15 | 2019 |
| A global experiment on motivating social distancing during the COVID-19 pandemic N Legate, TT Nguyen, N Weinstein, AC Moller, L Legault, M Adamkovic, ... Proceedings of the National Academy of Sciences, 2022 | 9 | 2022 |
| Processing emotional expressions under fear of rejection: Findings from diffusion model analyses. V Lerche, A Bucher, A Voss Emotion 21 (1), 184, 2021 | 8 | 2021 |
| Do non-decision times mediate the association between age and intelligence across different content and process domains? M von Krause, V Lerche, AL Schubert, A Voss Journal of Intelligence 8 (3), 33, 2020 | 8 | 2020 |
