David Danks

71 papers and 1.8k indexed citations i.

About

David Danks is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, David Danks has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 18 papers in Developmental and Educational Psychology and 15 papers in Cognitive Neuroscience. Recurrent topics in David Danks’s work include Bayesian Modeling and Causal Inference (22 papers), Child and Animal Learning Development (17 papers) and Philosophy and History of Science (14 papers). David Danks is often cited by papers focused on Bayesian Modeling and Causal Inference (22 papers), Child and Animal Learning Development (17 papers) and Philosophy and History of Science (14 papers). David Danks collaborates with scholars based in United States, Switzerland and United Kingdom. David Danks's co-authors include Clark Glymour, Tamar Kushnir, Alison Gopnik, Laura Schulz, David M. Sobel, Sina Fazelpour, Kevin Zollman, Daniel Malinsky, Frederick Eberhardt and David Rosé and has published in prestigious journals such as Psychological Review, Clinical Infectious Diseases and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of David Danks i

Fields of papers citing papers by David Danks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Danks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Danks. The network helps show where David Danks may publish in the future.

Countries citing papers authored by David Danks

Since Specialization
Citations

This map shows the geographic impact of David Danks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Danks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Danks more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025