| Estimating the reproducibility of psychological science Open Science Collaboration Science 349 (6251), aac4716, 2015 | 9363 | 2015 |
| Bayesian inference for psychometric functions M Kuss, F Jäkel, FA Wichmann Journal of Vision 5 (5), 2005 | 191 | 2005 |
| Spatial four-alternative forced-choice method is the preferred psychophysical method for naïve observers F Jäkel, FA Wichmann Journal of vision 6 (11), 13-13, 2006 | 166 | 2006 |
| Visual perception of thick transparent materials RW Fleming, F Jäkel, LT Maloney Psychological science 22 (6), 812-820, 2011 | 112 | 2011 |
| Multimodal similarity and categorization of novel, three-dimensional objects T Cooke, F Jäkel, C Wallraven, HH Bülthoff Neuropsychologia 45 (3), 484-495, 2007 | 109 | 2007 |
| An overview of quantitative approaches in Gestalt perception F Jäkel, M Singh, FA Wichmann, MH Herzog Vision research 126, 3-8, 2016 | 99 | 2016 |
| Mapping spikes to sensations MC Stüttgen, C Schwarz, F Jäkel Frontiers in Neuroscience 5, 2011 | 99 | 2011 |
| Generalization and similarity in exemplar models of categorization: Insights from machine learning F Jäkel, B Schölkopf, FA Wichmann Psychonomic Bulletin & Review 15, 256-271, 2008 | 95 | 2008 |
| A tutorial on kernel methods for categorization F Jäkel, B Schölkopf, FA Wichmann Journal of Mathematical Psychology 51 (6), 343-358, 2007 | 93 | 2007 |
| Bayesian reverse-engineering considered as a research strategy for cognitive science C Zednik, F Jäkel Synthese 193, 3951-3985, 2016 | 81 | 2016 |
| Does cognitive science need kernels? F Jäkel, B Schölkopf, FA Wichmann Trends in cognitive sciences 13 (9), 381-388, 2009 | 78 | 2009 |
| A choice model with infinitely many latent features D Görür, F Jäkel, CE Rasmussen Proceedings of the 23rd international conference on Machine learning, 361-368, 2006 | 70 | 2006 |
| Introspection in problem solving F Jäkel, C Schreiber The Journal of Problem Solving 6 (1), 4, 2013 | 62 | 2013 |
| Similarity, kernels, and the triangle inequality F Jäkel, B Schölkopf, FA Wichmann Journal of Mathematical Psychology 52 (5), 297-303, 2008 | 59 | 2008 |
| Discovering hierarchical motion structure SJ Gershman, JB Tenenbaum, F Jäkel Vision research 126, 232-241, 2016 | 56 | 2016 |
| How does Bayesian reverse-engineering work? C Zednik, F Jakel Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 53 | 2014 |
| Methods in psychophysics FA Wichmann, F Jäkel Stevens handbook of experimental psychology and cognitive neuroscience 5 …, 2018 | 41 | 2018 |
| Solving bongard problems with a visual language and pragmatic reasoning S Depeweg, CA Rothkopf, F Jäkel arXiv preprint arXiv:1804.04452, 2018 | 32 | 2018 |
| A statistical framework to infer delay and direction of information flow from measurements of complex systems J Schumacher, T Wunderle, P Fries, F Jäkel, G Pipa Neural computation 27 (8), 1555-1608, 2015 | 23 | 2015 |
| Temporal clustering with spiking neurons and dynamic synapses: towards technological applications J Storck, F Jäkel, G Deco Neural networks 14 (3), 275-285, 2001 | 22 | 2001 |
