| mgm: Estimating time-varying mixed graphical models in high-dimensional data J Haslbeck, LJ Waldorp Journal of Statistical Software 93 (8), 2020 | 1027 | 2020 |
| How well do network models predict observations? On the importance of predictability in network models JMB Haslbeck, LJ Waldorp Behavior Research Methods 50 (2), 853-861, 2018 | 627 | 2018 |
| Reporting standards for psychological network analyses in cross-sectional data. J Burger, AM Isvoranu, G Lunansky, J Haslbeck, S Epskamp, ... Psychological methods 28 (4), 806, 2023 | 512 | 2023 |
| How Predictable are Symptoms in Psychopathological Networks? A Reanalysis of 18 Published Datasets JMB Haslbeck, EI Fried Psychological Medicine, 2016 | 424 | 2016 |
| Modeling psychopathology: From data models to formal theories. J Haslbeck, O Ryan, DJ Robinaugh, LJ Waldorp, D Borsboom Psychological Methods 27 (6), 930, 2022 | 290 | 2022 |
| Invisible hands and fine calipers: A call to use formal theory as a toolkit for theory construction D Robinaugh, J Haslbeck, O Ryan, EI Fried, L Waldorp Perspectives on Psychological Science, 2021 | 280 | 2021 |
| Using network analysis to examine links between individual depressive symptoms, inflammatory markers, and covariates EI Fried, S von Stockert, JMB Haslbeck, F Lamers, RA Schoevers, ... Psychological Medicine, 2018 | 263 | 2018 |
| A tutorial on estimating time-varying vector autoregressive models J Haslbeck, LF Bringmann, LJ Waldorp Multivariate Behavioral Research, 2021 | 257 | 2021 |
| Moderated network models JMB Haslbeck, D Borsboom, LJ Waldorp Multivariate behavioral research 56 (2), 256-287, 2021 | 170 | 2021 |
| Advancing the network theory of mental disorders: A computational model of panic disorder. DJ Robinaugh, J Haslbeck, LJ Waldorp, JJ Kossakowski, EI Fried, ... Psychological review 131 (6), 1482, 2024 | 156 | 2024 |
| Mouse-tracking: A practical guide to implementation and analysis 1 PJ Kieslich, F Henninger, DU Wulff, JMB Haslbeck, ... A handbook of process tracing methods, 111-130, 2019 | 155 | 2019 |
| Recovering within-person dynamics from psychological time series JMB Haslbeck, O Ryan Multivariate Behavioral Research 57 (5), 735-766, 2022 | 114 | 2022 |
| Network analysis: An overview for mental health research G Briganti, M Scutari, S Epskamp, D Borsboom, RHA Hoekstra, HF Golino, ... International Journal of Methods in Psychiatric Research 33 (4), e2034, 2024 | 77 | 2024 |
| Estimating group differences in network models using moderation analysis JMB Haslbeck Behavior Research Methods 54 (1), 522-540, 2022 | 77 | 2022 |
| Data from ‘Critical Slowing Down as a Personalized Early Warning Signal for Depression’ JJ Kossakowski, PC Groot, JMB Haslbeck, D Borsboom, M Wichers Journal of Open Psychology Data 5 (1), 2017 | 76 | 2017 |
| Package ‘qgraph’ S Epskamp, G Costantini, J Haslbeck, A Isvoranu, AOJ Cramer, ... Package ‘qgraph’, 2017 | 70 | 2017 |
| qgraph: Graph plotting methods, psychometric data visualization and graphical model estimation S Epskamp, G Costantini, J Haslbeck, AOJ Cramer, LJ Waldorp, ... R Package Version 1.4. 3, 2017 | 70 | 2017 |
| Mouse-tracking: Detecting Types in Movement Trajectories DU Wulff, JMB Haslbeck, PJ Kieslich, F Henninger, ... | 69 | 2018 |
| Multimodality and skewness in emotion time series. J Haslbeck, O Ryan, F Dablander Emotion 23 (8), 2117, 2023 | 66 | 2023 |
| The mental health ecosystem: Extending symptom networks with risk and protective factors G Lunansky, CD Van Borkulo, JMB Haslbeck, MA Van der Linden, ... Frontiers in psychiatry 12, 640658, 2021 | 65 | 2021 |
Lourens WaldorpAssociate professor Methods and Statistics, University of AmsterdamVerified email at uva.nl
