| AI Psychometrics: Assessing the psychological profiles of large language models through psychometric inventories M Pellert, CM Lechner, C Wagner, B Rammstedt, M Strohmaier Perspectives on Psychological Science, 2024 | 77* | 2024 |
| Dashboard of sentiment in Austrian social media during COVID-19 M Pellert, J Lasser, H Metzler, D Garcia Frontiers in big Data 3, 32, 2020 | 57* | 2020 |
| Collective emotions during the COVID-19 outbreak. H Metzler, B Rimé, M Pellert, T Niederkrotenthaler, A Di Natale, D Garcia Emotion 23 (3), 844, 2023 | 48 | 2023 |
| The individual dynamics of affective expression on social media M Pellert, S Schweighofer, D Garcia EPJ Data Science 9 (1), 1, 2020 | 42 | 2020 |
| Validating daily social media macroscopes of emotions M Pellert, H Metzler, M Matzenberger, D Garcia Scientific reports 12 (1), 11236, 2022 | 39 | 2022 |
| Emotional reactions to robot colleagues in a role-playing experiment N Savela, A Oksanen, M Pellert, D Garcia International Journal of Information Management 60, 102361, 2021 | 30 | 2021 |
| Colexification networks encode affective meaning A Di Natale, M Pellert, D Garcia Affective Science 2 (2), 99-111, 2021 | 29 | 2021 |
| Inference to the best explanation in uncertain evidential situations B Trpin, M Pellert The British Journal for the Philosophy of Science, 2019 | 23 | 2019 |
| Using social media data to capture emotions before and during COVID-19 H Metzler, M Pellert, D Garcia World Happiness Report 2022, 2022 | 19 | 2022 |
| Social media emotion macroscopes reflect emotional experiences in society at large D Garcia, M Pellert, J Lasser, H Metzler arXiv preprint arXiv:2107.13236, 2021 | 18 | 2021 |
| Emotional talk about robotic technologies on Reddit: Sentiment analysis of life domains, motives, and temporal themes N Savela, D Garcia, M Pellert, A Oksanen new media & society 26 (2), 757-781, 2024 | 13 | 2024 |
| Social Media Data in Affective Science M Pellert, S Schweighofer, D Garcia Handbook of Computational Social Science, Volume 1: Theory, Case Studies and …, 2021 | 5 | 2021 |
| Unpacking polarization: Antagonism and alignment in signed networks of online interaction E Fraxanet, M Pellert, S Schweighofer, V Gómez, D Garcia PNAS Nexus, pgae276, 2024 | 4 | 2024 |
| Affective, cognitive, and contextual cues in Reddit posts on artificial intelligence N Savela, M Pellert, R Latikka, J Bergdahl, D Garcia, A Oksanen Journal of Computational Social Science 8 (1), 1-27, 2025 | | 2025 |
| Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Models G Ahnert, M Pellert, D Garcia, M Strohmaier arXiv preprint arXiv:2409.17990, 2024 | | 2024 |
| Britain's Mood, Entailed Weekly: In Silico Longitudinal Surveys with Fine-Tuned Large Language Models G Ahnert, M Pellert, D Garcia, M Strohmaier Companion Publication of the 16th ACM Web Science Conference, 47-50, 2024 | | 2024 |
| and its meanings: An emojical study A Di Natale, E Fraxanet, M Pellert, J Lasser, H Metzler, A Herderich, ... | | 2021 |
| Oh my God: The linguistic influence of the TV series Friends D Garcia, H Metzler, J Lasser, M Pellert, A Di Natale | | 2020 |
| Collective Dynamics of Multi-Agent Networks: Simulation Studies in Probabilistic Reasoning M Pellert MEi: CogSci Conference 2017, Budapest, 2017 | | 2017 |
| Are Heterogeneous Expectations a Viable Alternative to Rational Expectations in Economics? M Pellert MEi: CogSci Conference 2016, Vienna, 2016 | | 2016 |
David GarciaProfessor for Social and Behavioral Data Science, University of Konstanz. Also CSH Vienna and ETHZVerified email at ethz.ch
