Azzurra Ruggeri

1.8k total citations
62 papers, 910 citations indexed

About

Azzurra Ruggeri is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Azzurra Ruggeri has authored 62 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Developmental and Educational Psychology, 20 papers in Experimental and Cognitive Psychology and 10 papers in Artificial Intelligence. Recurrent topics in Azzurra Ruggeri's work include Child and Animal Learning Development (43 papers), Psychological and Educational Research Studies (10 papers) and Educational Strategies and Epistemologies (8 papers). Azzurra Ruggeri is often cited by papers focused on Child and Animal Learning Development (43 papers), Psychological and Educational Research Studies (10 papers) and Educational Strategies and Epistemologies (8 papers). Azzurra Ruggeri collaborates with scholars based in Germany, United States and Austria. Azzurra Ruggeri's co-authors include Fei Xu, Tania Lombrozo, Björn Meder, Eric Schulz, Charley M. Wu, Todd M. Gureckis, Douglas Markant, Thomas L. Griffiths, Markus A. Feufel and Konstantinos V. Katsikopoulos and has published in prestigious journals such as Nature Communications, PLoS ONE and Child Development.

In The Last Decade

Azzurra Ruggeri

58 papers receiving 888 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Azzurra Ruggeri Germany 17 504 255 226 207 124 62 910
Peter P. J. L. Verkoeijen Netherlands 22 523 1.0× 345 1.4× 513 2.3× 336 1.6× 262 2.1× 74 1.3k
Caren M. Walker United States 18 549 1.1× 160 0.6× 170 0.8× 286 1.4× 102 0.8× 54 885
Marci S. DeCaro United States 15 517 1.0× 505 2.0× 362 1.6× 345 1.7× 155 1.3× 49 1.4k
Vered Halamish Israel 15 270 0.5× 198 0.8× 406 1.8× 102 0.5× 140 1.1× 26 715
Elisabeth Norman Norway 17 245 0.5× 195 0.8× 294 1.3× 96 0.5× 43 0.3× 28 683
Veronica X. Yan United States 16 401 0.8× 378 1.5× 279 1.2× 187 0.9× 152 1.2× 47 897
Mary Jo Rattermann United States 9 500 1.0× 200 0.8× 155 0.7× 110 0.5× 194 1.6× 13 889
Jonathan Redshaw Australia 18 613 1.2× 255 1.0× 449 2.0× 117 0.6× 53 0.4× 58 1.0k
Vincent Hoogerheide Netherlands 20 632 1.3× 609 2.4× 109 0.5× 452 2.2× 190 1.5× 36 1.1k
Sharda Umanath United States 14 340 0.7× 229 0.9× 589 2.6× 62 0.3× 82 0.7× 42 918

Countries citing papers authored by Azzurra Ruggeri

Since Specialization
Citations

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

Fields of papers citing papers by Azzurra Ruggeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azzurra Ruggeri

This figure shows the co-authorship network connecting the top 25 collaborators of Azzurra Ruggeri. A scholar is included among the top collaborators of Azzurra Ruggeri 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 Azzurra Ruggeri. Azzurra Ruggeri 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
1.
Ruggeri, Azzurra, et al.. (2025). Active control over exploration improves memory in toddlers. Proceedings of the Royal Society B Biological Sciences. 292(2039). 20242555–20242555. 1 indexed citations
2.
Leonard, Julia, et al.. (2025). Children Strategically Decide What to Practice. Child Development. 96(5). 1619–1631.
3.
Ruggeri, Azzurra, et al.. (2025). Children and wilful ignorance. Current Opinion in Psychology. 66. 102126–102126.
4.
Fandakova, Yana, et al.. (2024). The differential impact of active learning on children’s memory.. Developmental Psychology. 60(5). 904–915. 1 indexed citations
5.
Ruggeri, Azzurra, et al.. (2024). Children's information-search strategies: Operationalizing efficiency and effectiveness. Child Development Perspectives. 18(2). 57–63.
6.
Ruggeri, Azzurra, et al.. (2023). Preschoolers search longer when there is more information to be gained. Developmental Science. 27(1). e13411–e13411. 9 indexed citations
7.
Ruggeri, Azzurra, et al.. (2023). Smart or just lucky? Inferring question-asking competence from strategies’ efficiency versus effectiveness.. Developmental Psychology. 59(6). 1136–1152. 1 indexed citations
8.
Xu, Fei, et al.. (2023). Preschoolers' information search strategies: Inefficient but adaptive. Frontiers in Psychology. 13. 1080755–1080755. 2 indexed citations
9.
Ciranka, Simon, Eric Schulz, Wouter van den Bos, et al.. (2023). Developmental changes in exploration resemble stochastic optimization. Nature Human Behaviour. 7(11). 1955–1967. 31 indexed citations
10.
Grueneisen, Sebastian, et al.. (2023). Young children's adaptive partner choice in cooperation and competition contexts. Child Development. 95(3). 1023–1031. 2 indexed citations
11.
Meder, Björn, et al.. (2022). Finding the (most efficient) way out of a maze is easier than asking (good) questions.. Developmental Psychology. 58(9). 1730–1746. 2 indexed citations
12.
Meder, Björn, Charley M. Wu, Eric Schulz, & Azzurra Ruggeri. (2021). Development of directed and random exploration in children. Developmental Science. 24(4). e13095–e13095. 55 indexed citations
13.
Meder, Björn, Ralf Mayrhofer, & Azzurra Ruggeri. (2021). Developmental Trajectories in the Understanding of Everyday Uncertainty Terms. Topics in Cognitive Science. 14(2). 258–281. 7 indexed citations
14.
Markant, Douglas, et al.. (2020). Memory enhancements from active control of learning in children with autism spectrum disorder. Autism. 24(8). 1995–2007. 11 indexed citations
15.
Ruggeri, Azzurra, et al.. (2020). Goal-adaptiveness in children's cue-based information search.. Cognitive Science. 1 indexed citations
16.
Schulz, Eric, Charley M. Wu, Azzurra Ruggeri, & Björn Meder. (2019). Searching for Rewards Like a Child Means Less Generalization and More Directed Exploration. Psychological Science. 30(11). 1561–1572. 90 indexed citations
17.
Bridgers, Sophie, et al.. (2018). How you learned matters: The process by which others learn informs young children's decisions about whom to ask for help. Cognitive Science. 1402–1407. 3 indexed citations
18.
Coenen, Anna, Neil R Bramley, Azzurra Ruggeri, & Todd M. Gureckis. (2017). Beliefs about sparsity affect causal experimentation. Cognitive Science. 1788–1793. 2 indexed citations
19.
Ruggeri, Azzurra, Tania Lombrozo, Thomas L. Griffiths, & Fei Xu. (2015). Children search for information as efficiently as adults, but seek additional confirmatory evidence.. Cognitive Science. 8 indexed citations
20.
Ruggeri, Azzurra & Tania Lombrozo. (2014). Learning By Asking: How Children Ask Questions To Achieve Efficient Search. Cognitive Science. 36(36). 1335–1340. 7 indexed citations

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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