David Anaki

Experimental and Cognitive Psychology · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Experimental and Cognitive Psychology — 66 citations into it; #4,651 of 9,731 by trust here, #5,545 by citations
• Cognitive Neuroscience — 56 citations into it; #5,433 of 10,852 by trust here, #6,902 by citations
• Statistical and Nonlinear Physics — 26 citations into it
• Artificial Intelligence — 17 citations into it; #25,675 of 35,345 by trust here, #23,731 by citations
• Molecular Biology — 16 citations into it
• Social Psychology — 10 citations into it
• Graph Learning — 7 citations into it
• Algorithms & Complexity — 6 citations into it

Whom David Anaki trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Paul J Silvia
2. Mark Newman
3. Duncan J. Watts
4. Roger E. Beaty
5. Mikail Rubinov
6. Mark D. Humphries
7. Olaf Sporns
8. Emily C. Nusbaum
9. Mark A. Runco
10. Steven H. Strogatz

Who trusts David Anaki overall

1. Yoed N. Kenett
2. Mathias Benedek
3. Paul J Silvia
4. Li He
5. Roger E. Beaty

Papers from David Anaki's perspective

Ordered by how strongly the researchers David Anaki trusts endorse each paper. Same corpus, a different order for every researcher.

1. Collective dynamics of ‘small-world’ networks
2. Modularity and community structure in networks.
3. Community detection in graphs
4. Assessing Creativity With Divergent Thinking Tasks: Exploring the Reliability and Validity of New Subjective Scoring Methods
5. The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth (Cognitive Sciences)
6. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
7. Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence (PLoS ONE)
8. Complex network measures of brain connectivity: Uses and interpretations
9. Complex Networks: Structure and Dynamics
10. Divergent Thinking as an Indicator of Creative Potential

Their papers

• How semantic memory structure and intelligence contribute to creative thought: a network science approach (2017) — 204 citations
• Structure and flexibility: Investigating the relation between the structure of the mental lexicon, fluid intelligence, and creative achievement. (2016) — 128 citations
• Investigating the structure of semantic networks in low and high creative persons (2014) — 361 citations