Hanel, Paul H. P.
6 papers on CoChatORCID 0000-0002-3225-1395
Most cited papers
- Verified
Do Student Samples Provide an Accurate Estimate of the General Public?
Hanel, P. H. P., & Vione, K. C. (2016) · PLOS ONE
Psychometric Methodologies and TestingSocial Representations and Identity
Cited by 510
- Verified
Artificial muses: Generative artificial intelligence chatbots have risen to human-level creativity
Haase, J., & Hanel, P. H. P. (2023) · Journal of Creativity
Creativity in Education and NeuroscienceArtificial Intelligence Applications
Cited by 233
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Optimism scale: evidence of psychometric validity in two countries and correlations with personality.
Coelho, G. L. H., Vilar, R., Hanel, P. H. P., Monteiro, R. P., Ribeiro, M. G. C., & Gouveia, V. V. (2018) · Personality and Individual Differences
Optimism, Hope, and Well-beingPsychometric Methodologies and Testing
Cited by 38
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Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability
Haase, J., Hanel, P. H. P., & Pokutta, S. (2025) · arXiv
Creativity in Education and NeuroscienceTopic Modeling
Cited by 2
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Investigating the reproducibility of the social and behavioural sciences
Miske, O., Abatayo, A. L., Daley, M., Dirzo, M., Fox, N. W., Haber, N., Hahn, K., Kline Struhl, M., Mawhinney, B., Silverstein, P., et al. (2026)
Research Data Management PracticesScientific Computing and Data Management
Cited by 0
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Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks
Haase, J., Gonnermann-Müller, J., Hanel, P. H. P., Leins, N., Kosch, T., Mendling, J., & Pokutta, S. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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