| Cognitive resource depletion in religious interactions U Schjoedt, J Sørensen, KL Nielbo, D Xygalatas, P Mitkidis, J Bulbulia Religion, Brain & Behavior 3 (1), 39-55, 2013 | 197 | 2013 |
| Are we exposed to the same “news” in the news feed? An empirical analysis of filter bubbles as information similarity for Danish Facebook users A Bechmann, KL Nielbo Digital journalism 6 (8), 990-1002, 2018 | 116 | 2018 |
| Mystical experience in the lab M Andersen, U Schjoedt, KL Nielbo, J Sørensen Method & Theory in the Study of Religion 26 (3), 217-245, 2014 | 108 | 2014 |
| Spontaneous processing of functional and non-functional action sequences KL Nielbo, J Sørensen Religion, Brain & Behavior 1 (1), 18-30, 2011 | 82 | 2011 |
| Hierarchical organization of segmentation in non-functional action sequences KL Nielbo, U Schjoedt, J Sørensen Journal for the Cognitive Science of Religion 1 (1), 71-97, 2013 | 47 | 2013 |
| Collective-goal ascription increases cooperation in humans P Mitkidis, J Sørensen, KL Nielbo, M Andersen, P Lienard PloS one 8 (5), e64776, 2013 | 42 | 2013 |
| Prediction error during functional and non-functional action sequences: A computational exploration of ritual and ritualized event processing KL Nielbo, J Sørensen Journal of Cognition and Culture 13 (3-4), 347-365, 2013 | 42 | 2013 |
| The resource model and the principle of predictive coding: A framework for analyzing proximate effects of ritual U Schjoedt, J Sørensen, KL Nielbo, D Xygalatas, P Mitkidis, J Bulbulia Religion, Brain & Behavior 3 (1), 79-86, 2013 | 40 | 2013 |
| Computing religion: A new tool in the multilevel analysis of religion KL Nielbo, DM Braxton, A Upal Method & Theory in the Study of Religion 24 (3), 267-290, 2012 | 37 | 2012 |
| Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data AA Danielsen, MHJ Fenger, SD Østergaard, KL Nielbo, O Mors Acta Psychiatrica Scandinavica 140 (2), 147-157, 2019 | 30 | 2019 |
| Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis Q Hu, B Liu, MR Thomsen, J Gao, KL Nielbo Digital Scholarship in the Humanities 36 (2), 322-332, 2021 | 29 | 2021 |
| Predictive minds in Ouija board sessions M Andersen, KL Nielbo, U Schjoedt, T Pfeiffer, A Roepstorff, J Sørensen Phenomenology and the Cognitive Sciences 18, 577-588, 2019 | 29 | 2019 |
| Attentional resource allocation and cultural modulation in a computational model of ritualized behavior KL Nielbo, J Sørensen Religion, Brain & Behavior 6 (4), 318-335, 2016 | 29 | 2016 |
| Modeling the Contested Relationship between Analects, Mencius, and Xunzi: Preliminary Evidence from a Machine-Learning Approach R Nichols, E Slingerland, K Nielbo, U Bergeton, C Logan, S Kleinman The Journal of Asian Studies 77 (1), 19-57, 2018 | 22 | 2018 |
| Traveling companions add complexity and hinder performance in the spatial behavior of rats A Dorfman, KL Nielbo, D Eilam PLoS One 11 (1), e0146137, 2016 | 21 | 2016 |
| The fractality of sentiment arcs for literary quality assessment: The case of Nobel laureates Y Bizzoni, P Moreira, MR Thomsen, KL Nielbo Journal of Data Mining & Digital Humanities, 2023 | 20 | 2023 |
| DaCy: A unified framework for Danish NLP K Enevoldsen, L Hansen, K Nielbo arXiv preprint arXiv:2107.05295, 2021 | 20 | 2021 |
| Fractal Sentiments and Fairy Tales-Fractal scaling of narrative arcs as predictor of the perceived quality of Andersen's fairy tales Y Bizzoni, T Peura, M Thomsen, K Nielbo Journal of Data Mining & Digital Humanities, 2022 | 19 | 2022 |
| A curious case of entropic decay: Persistent complexity in textual cultural heritage KL Nielbo, KF Baunvig, B Liu, J Gao Digital Scholarship in the Humanities 34 (3), 542-557, 2019 | 15 | 2019 |
| Monitoring of COVID-19 pandemic-related psychopathology using machine learning KC Enevoldsen, AA Danielsen, C Rohde, OH Jefsen, KL Nielbo, ... Acta Neuropsychiatrica 34 (3), 148-152, 2022 | 14 | 2022 |
