| A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data N Jongs, R Jagesar, NEM van Haren, BWJH Penninx, L Reus, PJ Visser, ... Translational psychiatry 10 (1), 211, 2020 | 32 | 2020 |
| Digital phenotyping and the COVID-19 pandemic: Capturing behavioral change in patients with psychiatric disorders RR Jagesar, MC Roozen, I van der Heijden, N Ikani, A Tyborowska, ... European Neuropsychopharmacology 42, 115-120, 2021 | 31 | 2021 |
| Power to the People! M Spruit, R Jagesar Proceedings of the International Joint Conference on Knowledge Discovery …, 2016 | 30 | 2016 |
| A study of novel exploratory tools, digital technologies, and central nervous system biomarkers to characterize unipolar depression O Sverdlov, J Curcic, K Hannesdottir, L Gou, V De Luca, F Ambrosetti, ... Frontiers in psychiatry 12, 640741, 2021 | 21 | 2021 |
| Requirements and Operational Guidelines for Secure and Sustainable Digital Phenotyping: Design and Development Study RR Jagesar, JA Vorstman, MJ Kas Journal of Medical Internet Research 23 (4), e20996, 2021 | 16 | 2021 |
| New European privacy regulation: Assessing the impact for digital medicine innovations T Mulder, RR Jagesar, AM Klingenberg, JPM Bonnici, MJ Kas European Psychiatry 54, 57-58, 2018 | 16 | 2018 |
| Passive behavioural monitoring in neuropsychiatric disorders using smartphone technology N Jongs, R Jagesar, I Koning, H Ruhe, N Van Haren, J Vorstman, M Kas EUROPEAN NEUROPSYCHOPHARMACOLOGY 28, S87-S88, 2018 | 3 | 2018 |
| Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study M Muurling, LM Reus, C de Boer, SC Wessels, RR Jagesar, ... JMIR aging 5 (2), e33856, 2022 | 2 | 2022 |
| A New Intervention for Implementation of Pharmacogenetics in Psychiatry: A Description of the PSY-PGx Clinical Study TAD Pelgrim, A Philipsen, AH Young, M Juruena, E Jimenez, E Vieta, ... Pharmaceuticals 17 (2), 151, 2024 | 1 | 2024 |
| It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data AM Langener, G Stulp, NC Jacobson, A Costanzo, RR Jagesar, MJ Kas, ... Advances in Methods and Practices in Psychological Science 7 (1 …, 2024 | 1 | 2024 |
| Social behavior assessment in cognitively impaired older adults using a passive and remote smartphone application M Muurling, LM Reus, C de Boer, R Jagesar, JA Vorstman, MJH Kas, ... Alzheimer's & Dementia 17, e051698, 2021 | 1 | 2021 |
| Digital Phenotyping: Operation & Execution R Jagesar | | 2022 |
| Social behavior in Alzheimer’s Disease as measured by the passive smartphone application BEHAPP M Muurling, LM Reus, C de Boer, R Jagesar, JA Vorstman, MJH Kas, ... AAIC Neuroscience Next, 2020 | | 2020 |
| Towards unbiased and data-driven readouts of daily social functioning derived from longitudinal smartphone data and deep learning N Jongs, R Jagesar, BWJH Penninx, L Reus, PJ Visser, IMJ Saris, ... Passive Digital Phenotyping, 65, 2020 | | 2020 |
| Behapp: Digital phenotyping platform & app (iOS, Android) R Jagesar, M Kas, J Vorstman, M Roozen, A Costanzo, A Langener, ... | | 2018 |
| Machine learning dissected RR Jagesar | | 2016 |
| A Study of Novel Exploratory Tools, Digital Technologies, and Central Nervous System Biomarkers to Characterize Unipolar Depression A Lok, MG Rossetti, M Van Zuiden, O Sverdlov, O Sverdlov, J Curcic, ... | | |
| Identification of Stratified Social-Behavioral Markers in Neuropsychiatric Disorders by using smartphone technology N Jongs, R Jagesar, N van Haren, L Reus, HG Ruhe, R Eijkemans, ... | | |
