| A systematic review of Bayesian articles in psychology: The last 25 years. R Van de Schoot, SD Winter, O Ryan, M Zondervan-Zwijnenburg, ... Psychological Methods 22 (2), 217-239, 2017 | 399 | 2017 |
| Pancultural nostalgia: prototypical conceptions across cultures. EG Hepper, T Wildschut, C Sedikides, TD Ritchie, YF Yung, N Hansen, ... Emotion 14 (4), 733, 2014 | 294 | 2014 |
| Modeling psychopathology: From data models to formal theories. J Haslbeck, O Ryan, DJ Robinaugh, LJ Waldorp, D Borsboom Psychological Methods 27 (6), 930, 2022 | 182 | 2022 |
| Invisible hands and fine calipers: A call to use formal theory as a toolkit for theory construction DJ Robinaugh, JMB Haslbeck, O Ryan, EI Fried, LJ Waldorp Perspectives on Psychological Science 16 (4), 725-743, 2021 | 182 | 2021 |
| Drawing conclusions from cross-lagged relationships: Re-considering the role of the time-interval RM Kuiper, O Ryan Structural Equation Modeling: A Multidisciplinary Journal 25 (5), 809-823, 2018 | 153 | 2018 |
| Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology JA Bastiaansen, YK Kunkels, FJ Blaauw, SM Boker, E Ceulemans, ... Journal of psychosomatic research 137, 110211, 2020 | 129 | 2020 |
| Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks RN Groen, O Ryan, JTW Wigman, H Riese, BWJH Penninx, EJ Giltay, ... BMC medicine 18, 1-17, 2020 | 124 | 2020 |
| Advancing the network theory of mental disorders: A computational model of panic disorder D Robinaugh, J Haslbeck, L Waldorp, J Kossakowski, EI Fried, A Millner, ... PsyArXiv, 2019 | 107 | 2019 |
| A continuous time approach to intensive longitudinal data: What, Why and How O Ryan, RM Kuiper, EL Hamaker Continuous Time Modeling in the Behavioral and Related Sciences, 27-54, 2018 | 76 | 2018 |
| Recovering within-person dynamics from psychological time series JMB Haslbeck, O Ryan Multivariate Behavioral Research 57 (5), 735-766, 2022 | 65* | 2022 |
| The challenge of generating causal hypotheses using network models O Ryan, L Bringmann, NK Schuurman Structural Equation Modeling: A Multidisciplinary Journal 29 (6), 953-970, 2022 | 52 | 2022 |
| Time to intervene: A continuous-time approach to network analysis and centrality O Ryan, E Hamaker Psychometrika 87 (1), 214-252, 2022 | 48 | 2022 |
| Mapping the timescale of suicidal thinking DDL Coppersmith, O Ryan, RG Fortgang, AJ Millner, EM Kleiman, ... Proceedings of the National Academy of Sciences 120 (17), e2215434120, 2023 | 23 | 2023 |
| Multimodality and skewness in emotion time series. J Haslbeck, O Ryan, F Dablander Emotion, 2023 | 19 | 2023 |
| Meta-analysis of lagged regression models: A continuous-time approach RM Kuiper, O Ryan Structural Equation Modeling: A Multidisciplinary Journal 27 (3), 396-413, 2019 | 19 | 2019 |
| The Sum of All Fears: Comparing Networks Based on Symptom Sum-Scores J Haslbeck, O Ryan, F Dablander Psychological Methods, 2021 | 18 | 2021 |
| Choosing between AR (1) and VAR (1) models in typical psychological applications F Dablander, O Ryan, JMB Haslbeck PloS one 15 (10), e0240730, 2020 | 11 | 2020 |
| A squared standard error is not a measure of individual differences EL Hamaker, O Ryan Proceedings of the National Academy of Sciences 116 (14), 6544-6545, 2019 | 8 | 2019 |
| Non-stationarity in time-series analysis: Modeling stochastic and deterministic trends O Ryan, J Haslbeck, L Waldorp PsyArXiv, 2023 | 7 | 2023 |
| Towards a generative model for emotion dynamics O Ryan, F Dablander, J Haslbeck PsyArXiv, 2023 | 7 | 2023 |
Jonas M. B. HaslbeckUniversity of AmsterdamVerified email at uva.nl
