| Diffusion models in experimental psychology A Voss, M Nagler, V Lerche Experimental psychology, 2013 | 411 | 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 | 216 | 2015 |
| 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, 1051-1069, 2019 | 131 | 2019 |
| 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, 513-537, 2017 | 129 | 2017 |
| Model complexity in diffusion modeling: Benefits of making the model more parsimonious V Lerche, A Voss Frontiers in psychology, 1324, 2016 | 114 | 2016 |
| Retest reliability of the parameters of the Ratcliff diffusion model V Lerche, A Voss Psychological research 81, 629-652, 2017 | 91 | 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 | 78 | 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 | 62 | 2019 |
| 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 | 52* | |
| 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 | 38 | 2018 |
| A diffusion model analysis of the response-effect compatibility effect. M Janczyk, V Lerche Journal of Experimental Psychology: General 148 (2), 237, 2019 | 35 | 2019 |
| A global experiment on motivating social distancing during the COVID-19 pandemic N Legate, T Ngyuen, N Weinstein, A Moller, L Legault, Z Vally, ... Proceedings of the National Academy of Sciences 119 (22), 2022 | 33 | 2022 |
| 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, 813-832, 2019 | 31 | 2019 |
| 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, 2568-2585, 2018 | 28 | 2018 |
| Age differences in diffusion model parameters: A meta-analysis M Theisen, V Lerche, M von Krause, A Voss Psychological Research 85, 2012-2021, 2021 | 27* | 2021 |
| Effects of implicit fear of failure on cognitive processing: A diffusion model analysis V Lerche, AB Neubauer, A Voss Motivation and Emotion 42, 386-402, 2018 | 27 | 2018 |
| 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 | 21 | 2016 |
| Impact of context information on metaphor elaboration V Lerche, U Christmann, A Voss Experimental Psychology, 2019 | 19 | 2019 |
| Processing emotional expressions under fear of rejection: Findings from diffusion model analyses. V Lerche, A Bucher, A Voss Emotion 21 (1), 184, 2021 | 16 | 2021 |
| When accuracy rates and mean response times lead to false conclusions: A simulation study based on the diffusion model V Lerche, A Voss The Quantitative Methods for Psychology 16 (2), 107-119, 2020 | 12 | 2020 |
