David Danks

4.3k total citations · 2 hit papers
91 papers, 2.2k citations indexed

About

David Danks is a scholar working on Artificial Intelligence, Safety Research and Developmental and Educational Psychology. According to data from OpenAlex, David Danks has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 20 papers in Safety Research and 19 papers in Developmental and Educational Psychology. Recurrent topics in David Danks's work include Bayesian Modeling and Causal Inference (26 papers), Ethics and Social Impacts of AI (18 papers) and Child and Animal Learning Development (18 papers). David Danks is often cited by papers focused on Bayesian Modeling and Causal Inference (26 papers), Ethics and Social Impacts of AI (18 papers) and Child and Animal Learning Development (18 papers). David Danks collaborates with scholars based in United States, United Kingdom and Switzerland. David Danks's co-authors include Clark Glymour, Alex John London, Alison Gopnik, Tamar Kushnir, Laura Schulz, David M. Sobel, Sina Fazelpour, Daniel Malinsky, Kevin Zollman and Frederick Eberhardt and has published in prestigious journals such as Psychological Review, Clinical Infectious Diseases and Communications of the ACM.

In The Last Decade

David Danks

86 papers receiving 2.1k citations

Hit Papers

A Theory of Causal Learning in Children: Causal Maps and ... 2004 2026 2011 2018 2004 2017 200 400 600

Peers

David Danks
Comparison fields: 5 of 144
  • Artificial Intelligence 825
  • Developmental and Educational Psychology 638
  • Cognitive Neuroscience 471
  • Safety Research 444
  • Sociology and Political Science 233
Replace Ruth M. J. Byrne with:
Ruth M. J. Byrne Ireland
Noel Sharkey United Kingdom
Patrick Shafto United States
Lael J. Schooler Germany
Henry Brighton Germany
Emily M. Bender United States
Robert van Rooij Netherlands
Lorenzo Magnani Italy
Alistair Knott New Zealand
Mitchell J. Nathan United States
Ruth M. J. Byrne Ireland View profile →
Citations per field, relative to David Danks
David Danks · 1×
Citations per year, relative to David Danks
David Danks · 1×

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).

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.

Co-authorship network of co-authors of David Danks

This figure shows the co-authorship network connecting the top 25 collaborators of David Danks. A scholar is included among the top collaborators of David Danks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Danks. David Danks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 1
3 6
4 115
5
Reason-Based Constraint in Theory of Mind
1
6 8
7 0
8 4
9 1
10 4
11 1
12 69
13
Moving from Levels & Reduction to Dimensions & Constraints
3
14
Integrating Locally Learned Causal Structures with Overlapping Variables
37
15
Task Influences on Category Learning
1
16
Decision Making Using Learned Causal Structures
3
17 2
18
Effects of Causal Strength on Learning from Biased Sequences
6
19
Causal Learning from Biased Sequences
5
20
Inferring Hidden Causes
25

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.

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