Danielle Navarro

116 papers and 2.5k indexed citations i.

About

Danielle Navarro is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and General Decision Sciences. According to data from OpenAlex, Danielle Navarro has authored 116 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 46 papers in Developmental and Educational Psychology and 21 papers in General Decision Sciences. Recurrent topics in Danielle Navarro’s work include Child and Animal Learning Development (41 papers), Bayesian Modeling and Causal Inference (25 papers) and Decision-Making and Behavioral Economics (21 papers). Danielle Navarro is often cited by papers focused on Child and Animal Learning Development (41 papers), Bayesian Modeling and Causal Inference (25 papers) and Decision-Making and Behavioral Economics (21 papers). Danielle Navarro collaborates with scholars based in Australia, United States and Belgium. Danielle Navarro's co-authors include Amy Perfors, Simon De Deyne, Thomas L. Griffiths, Gert Storms, Michael Lee, Adam N. Sanborn, Mark A. Pitt, Andrew Perfors, Marc Brysbaert and Jay I. Myung and has published in prestigious journals such as Psychological Review, Trends in Cognitive Sciences and Journal of Experimental Psychology General.

In The Last Decade

Co-authorship network of co-authors of Danielle Navarro i

Fields of papers citing papers by Danielle Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Navarro. 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 Danielle Navarro. The network helps show where Danielle Navarro may publish in the future.

Countries citing papers authored by Danielle Navarro

Since Specialization
Citations

This map shows the geographic impact of Danielle Navarro'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 Danielle Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Navarro 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.

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2025