基本信息
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个人简介
His areas of expertise include meta-science, research methods and applied statistics. Daniel’s main lines of empirical research focus on conceptual thought, similarity, and meaning. He also focuses on how to design and interpret studies, applied (meta)-statistics, and reward structures in science. A large part of his work deals with developing methods for critically reviewing and optimally structuring studies.
研究兴趣
论文共 178 篇作者统计合作学者相似作者
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Maciej Behnke,Daniel Lakens,Kate Petrova,Patrycja Chwilkowska, Szymon Jesko Bialek, Maciej Kloskowski, Wadim Krzyzaniak, Patryk Maciejewski,Lukasz D. Kaczmarek, Kacper Szymanski,Jeremy P. Jamieson,James J. Gross
ROYAL SOCIETY OPEN SCIENCEno. 6 (2024)
ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCEno. 1 (2024)
Computational brain & behavior/Computational Brain & Behavior (2024)
crossref(2024)
crossref(2024)
crossref(2024)
COLLABRA-PSYCHOLOGYno. 1 (2024)
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作者统计
#Papers: 177
#Citation: 24573
H-Index: 43
G-Index: 115
Sociability: 7
Diversity: 2
Activity: 64
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