| 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 | 217 | 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 | 145 | 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 | 119 | 2014 |
| Spontaneous processing of functional and non-functional action sequences KL Nielbo, J Sørensen Religion, Brain & Behavior 1 (1), 18-30, 2011 | 89 | 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 | 51 | 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 | 46 | 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 | 46 | 2013 |
| Collective-goal ascription increases cooperation in humans P Mitkidis, J Sørensen, KL Nielbo, M Andersen, P Lienard PloS one 8 (5), e64776, 2013 | 45 | 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 | 44 | 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 | 41 | 2019 |
| Predictive minds in Ouija board sessions M Andersen, KL Nielbo, U Schjoedt, T Pfeiffer, A Roepstorff, J Sørensen Phenomenology and the Cognitive Sciences 18 (3), 577-588, 2019 | 41 | 2019 |
| Quantitative text analysis KL Nielbo, F Karsdorp, M Wevers, A Lassche, RB Baglini, M Kestemont, ... Nature Reviews Methods Primers 4 (1), 25, 2024 | 39 | 2024 |
| 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 | 36 | 2021 |
| 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 | 31 | 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 | 28 | 2023 |
| The scandinavian embedding benchmarks: Comprehensive assessment of multilingual and monolingual text embedding K Enevoldsen, M Kardos, N Muennighoff, KL Nielbo Advances in Neural Information Processing Systems 37, 40336-40358, 2024 | 26 | 2024 |
| Sentimental matters-predicting literary quality by sentiment analysis and stylometric features Y Bizzoni, P Feldkamp, MR Thomsen, K Nielbo Proceedings of the 13th Workshop on Computational Approaches to Subjectivity …, 2023 | 24 | 2023 |
| False responses from artificial intelligence models are not hallucinations SD Østergaard, KL Nielbo Schizophrenia bulletin 49 (5), 1105-1107, 2023 | 23 | 2023 |
| Dacy: A unified framework for danish nlp K Enevoldsen, L Hansen, K Nielbo arXiv preprint arXiv:2107.05295, 2021 | 23 | 2021 |
| 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 | 23 | 2018 |
