| Predicting personality from patterns of behavior collected with smartphones C Stachl, Q Au, R Schoedel, SD Gosling, GM Harari, D Buschek, ... Proceedings of the National Academy of Sciences 117 (30), 17680-17687, 2020 | 360* | 2020 |
| Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life. GM Harari, SR Müller, C Stachl, R Wang, W Wang, M Bühner, ... Journal of personality and social psychology 119 (1), 204, 2020 | 177 | 2020 |
| Personality traits predict smartphone usage C Stachl, S Hilbert, JQ Au, D Buschek, A De Luca, B Bischl, H Hussmann, ... European Journal of Personality 31 (6), 701-722, 2017 | 164 | 2017 |
| Personality research and assessment in the era of machine learning C Stachl, F Pargent, S Hilbert, GM Harari, R Schoedel, S Vaid, SD Gosling, ... European Journal of Personality 34 (5), 613-631, 2020 | 158 | 2020 |
| Bottom-up and top-down: Predicting personality with psycholinguistic and language model features Y Mehta, S Fatehi, A Kazameini, C Stachl, E Cambria, S Eetemadi 2020 IEEE international conference on data mining (ICDM), 1184-1189, 2020 | 139 | 2020 |
| Age and gender in language, emoji, and emoticon usage in instant messages TK Koch, P Romero, C Stachl Computers in Human Behavior 126, 106990, 2022 | 81 | 2022 |
| Developing a personality model for speech-based conversational agents using the psycholexical approach ST Völkel, R Schödel, D Buschek, C Stachl, V Winterhalter, M Bühner, ... Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 72 | 2020 |
| Personality sensing for theory development and assessment in the digital age GM Harari, SS Vaid, SR Müller, C Stachl, Z Marrero, R Schoedel, ... European Journal of Personality 34 (5), 649-669, 2020 | 66 | 2020 |
| To challenge the morning lark and the night owl: Using smartphone sensing data to investigate day–night behaviour patterns R Schoedel, F Pargent, Q Au, ST Völkel, T Schuwerk, M Bühner, C Stachl European Journal of Personality 34 (5), 733-752, 2020 | 59 | 2020 |
| Digital footprints of sensation seeking R Schoedel, Q Au, ST Völkel, F Lehmann, D Becker, M Bühner, B Bischl, ... Zeitschrift für Psychologie, 2019 | 58 | 2019 |
| Grouped feature importance and combined features effect plot Q Au, J Herbinger, C Stachl, B Bischl, G Casalicchio Data Mining and Knowledge Discovery 36 (4), 1401-1450, 2022 | 56 | 2022 |
| How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health C Seiferth, L Vogel, B Aas, I Brandhorst, P Carlbring, A Conzelmann, ... Nature Mental Health 1 (8), 542-554, 2023 | 54 | 2023 |
| Machine learning for the educational sciences S Hilbert, S Coors, E Kraus, B Bischl, A Lindl, M Frei, J Wild, S Krauss, ... Review of Education 9 (3), e3310, 2021 | 54 | 2021 |
| Best practices in supervised machine learning: A tutorial for psychologists F Pargent, R Schoedel, C Stachl Advances in Methods and Practices in Psychological Science 6 (3 …, 2023 | 44 | 2023 |
| Computational personality assessment C Stachl, RL Boyd, KT Horstmann, P Khambatta, SC Matz, GM Harari Personality Science 2 (1), e6115, 2021 | 43* | 2021 |
| Multilabel classification with R package mlr P Probst, Q Au, G Casalicchio, C Stachl, B Bischl arXiv preprint arXiv:1703.08991, 2017 | 34 | 2017 |
| Analyzing GPS data for psychological research: a tutorial SR Müller, JB Bayer, MQ Ross, J Mount, C Stachl, GM Harari, YJ Chang, ... Advances in Methods and Practices in Psychological Science 5 (2 …, 2022 | 30 | 2022 |
| Enter the wild: Autistic traits and their relationship to mentalizing and social interaction in everyday life T Schuwerk, LJ Kaltefleiter, JQ Au, A Hoesl, C Stachl Journal of Autism and Developmental Disorders 49, 4193-4208, 2019 | 30 | 2019 |
| Opportunities and challenges of utilizing personality traits for personalization in HCI ST Völkel, R Schödel, D Buschek, C Stachl, Q Au, B Bischl, M Bühner, ... Personalized Human-Computer Interaction, 31, 2019 | 27 | 2019 |
| Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics SC Matz, CS Bukow, H Peters, C Deacons, A Dinu, C Stachl Scientific Reports 13 (1), 5705, 2023 | 25 | 2023 |
Markus BühnerProfessor LMU MünchenVerified email at lmu.de
