Danielle Navarro
Impact in
- General Decision Sciences top 1%
- Decision-Making and Behavioral Economics
-
- Child and Animal Learning Development
Papers in
-
- Bayesian Modeling and Causal Inference 26
- Advanced Text Analysis Techniques 14
- Bayesian Methods and Mixture Models 10
- Topic Modeling 7
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- Child and Animal Learning Development 44
- Co-authors
- Amy Perfors (34 shared papers)Simon De Deyne (11 shared papers)Thomas L. Griffiths (5 shared papers)Gert Storms (8 shared papers)Michael Lee (13 shared papers)Mark A. Pitt (7 shared papers)Adam N. Sanborn (2 shared papers)Ian Fuss (2 shared papers)
- Journals
- Cognitive Science (28 papers)Journal of Mathematical Psychology (7 papers)Psychonomic Bulletin & Review (6 papers)Psychological Review (5 papers)Cognitive Psychology (5 papers)
- Partner nations
- AustraliaUnited StatesBelgium
In The Last Decade
Danielle Navarro
124 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 154
- General Decision Sciences 362
- Developmental and Educational Psychology 698
- Cognitive Neuroscience 780
- Experimental and Cognitive Psychology 472
- Artificial Intelligence 1.1k
Countries citing papers authored by Danielle Navarro
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).
Fields of papers citing papers by Danielle Navarro
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.
Co-authors
The 25 scholars most cited alongside Danielle Navarro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 238 | |
| 2 | 2018 | 211 | |
| 3 | 2012 | 148 | |
| 4 | 2009 | 121 | |
| 5 | 2006 | 101 | |
| 6 | 2012 | 99 | |
| 7 | 2006 | 90 | |
| 8 | 2005 | 84 | |
| 9 | 2019 | 83 | |
| 10 | 2018 | 70 | |
| 11 | 2004 | 65 | |
| 12 | 2021 | 64 | |
| 13 | 2016 | 58 | |
| 14 | 2010 | 58 | |
| 15 | 2016 | 48 | |
| 16 | 2004 | 44 | |
| 17 | 2002 | 44 | |
| 18 | 2017 | 43 | |
| 19 | 2022 | 37 | |
| 20 | 2011 | 37 |
About Danielle Navarro
Danielle Navarro is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, General Decision Sciences, Cognitive Neuroscience and Cultural Studies, having authored 127 papers that have together received 2.7k indexed citations. Recurring topics across this work include Child and Animal Learning Development (44 papers), Bayesian Modeling and Causal Inference (26 papers), Decision-Making and Behavioral Economics (24 papers), Language and cultural evolution (16 papers), Advanced Text Analysis Techniques (14 papers), Bayesian Methods and Mixture Models (10 papers), Topic Modeling (7 papers) and Philosophy and History of Science (6 papers). The work is most often cited by research in General Decision Sciences (362 citations), Developmental and Educational Psychology (698 citations), Cognitive Neuroscience (780 citations), Experimental and Cognitive Psychology (472 citations) and Artificial Intelligence (1.1k citations). Danielle Navarro has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Amy Perfors, Simon De Deyne, Thomas L. Griffiths, Gert Storms, Michael Lee, Mark A. Pitt, Adam N. Sanborn, Ian Fuss, Andrew Perfors and Marc Brysbaert. Their work appears in journals such as Cognitive Science, Journal of Mathematical Psychology, Psychonomic Bulletin & Review, Psychological Review and Cognitive Psychology.
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.