Roger E. Beaty
Experimental and Cognitive Psychology · 2012–2020
A researcher in the Science corpus: 13 papers; trusts 103 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 230 citations into it; #833 of 9,731 by trust here, #835 by citations
- Cognitive Neuroscience — 173 citations into it; #1,093 of 10,852 by trust here, #1,346 by citations
- Social Psychology — 47 citations into it
- Developmental and Educational Psychology — 39 citations into it; #5,524 of 8,223 by trust here, #5,471 by citations
- Clinical Psychology — 33 citations into it
- Artificial Intelligence — 22 citations into it
- Visual Arts and Performing Arts — 19 citations into it
- Statistics and Probability — 14 citations into it
Whom Roger E. Beaty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul J Silvia
- Emily C. Nusbaum
- Kyung H Kim
- James C. Kaufman
- Mark A. Runco
- Geoff Cumming
- Mathias Benedek
- K. McGrew
- R. Heck
- Kenneth Gilhooly
Who trusts Roger E. Beaty overall
- Paul J Silvia
- Yoed N. Kenett
- Emily C. Nusbaum
- Mathias Benedek
- D. Johnson
- Théophile Bieth
- Ryan P. Royston
- David Anaki
- Maciej Karwowski
- Li He
Papers from Roger E. Beaty's perspective
Ordered by how strongly the researchers Roger E. Beaty trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Assessing Creativity With Divergent Thinking Tasks: Exploring the Reliability and Validity of New Subjective Scoring Methods
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GloVe: Global Vectors for Word Representation
Their papers
- Automating creativity assessment with SemDis: An open platform for computing semantic distance (2020) — 296 citations
- Depression, anxiety, and stress and the distinction between intentional and unintentional mind wandering. (2019) — 97 citations
- Robust prediction of individual creative ability from brain functional connectivity (2018) — 683 citations
- Structure and flexibility: Investigating the relation between the structure of the mental lexicon, fluid intelligence, and creative achievement. (2016) — 128 citations
- Creative Cognition and Brain Network Dynamics (2015) — 911 citations
- Default and Executive Network Coupling Supports Creative Idea Production (2015) — 596 citations
- Openness to experience and awe in response to nature and music: Personality and profound aesthetic experiences. (2015) — 244 citations
- Ready, Set, Create: What Instructing People to "Be Creative" Reveals About the Meaning and Mechanisms of Divergent Thinking (2014) — 232 citations
- Everyday Creativity in Daily Life: An Experience-sampling Study of “little c” Creativity (2014) — 201 citations
- Does insight problem solving predict real-world creativity? (2014) — 120 citations
- Verbal fluency and creativity: General and specific contributions of broad retrieval ability (Gr) factors to divergent thinking (2013) — 227 citations
- Making creative metaphors: The importance of fluid intelligence for creative thought (2012) — 230 citations
- Why do ideas get more creative across time? An executive interpretation of the serial order effect in divergent thinking tasks. (2012) — 477 citations