Marta Picozzi

625 citations
10 papers · 500 · h-index 9

Impact in

Papers in

Marta Picozzi

9 papers receiving 496 citations

Peers

Marta Picozzi
Comparison fields: 5 of 38
  • Experimental and Cognitive Psychology 286
  • Cognitive Neuroscience 414
  • Computer Vision and Pattern Recognition 180
  • Statistics and Probability 58
  • Developmental and Educational Psychology 80
Replace Eva Dundas with:
Eva Dundas United States
Olivia S. Cheung United States
Anne-Marie Schuller Belgium
Isabelle Peretz Canada
Nathaniel S. Miller United States
Yetta Kwailing Wong Hong Kong
Trevor Henthorn United States
Alejandro J. Estudillo United Kingdom
Federica Biotti United Kingdom
Evelin Bertin United States
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Citations per field
00.5×4.7×
Eva Dundas · 1×
Citations per year

Countries citing papers authored by Marta Picozzi

Since Specialization
Citations

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

Fields of papers citing papers by Marta Picozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Marta Picozzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marta Picozzi Line = papers co-authored together Marta Picozzi links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2008125
2 200891
3 200972
4 200951
5 200837
6 200835
7 201034
8 201228
9 201327
10
The effects of experience on the development of face recognition abilities: the emergence of an "Other-Age" effect in infants
20060

About Marta Picozzi

Marta Picozzi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Computer Vision and Pattern Recognition and Education, having authored 10 papers that have together received 500 indexed citations. Recurring topics across this work include Face Recognition and Perception (7 papers), Evolutionary Psychology and Human Behavior (6 papers), Psychology of Moral and Emotional Judgment (4 papers), Child and Animal Learning Development (3 papers), Face recognition and analysis (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers), Mathematics Education and Teaching Techniques (2 papers) and Hearing Impairment and Communication (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (286 citations), Cognitive Neuroscience (414 citations), Computer Vision and Pattern Recognition (180 citations), Statistics and Probability (58 citations) and Developmental and Educational Psychology (80 citations). Marta Picozzi has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Viola Macchi Cassia, Dana Kuefner, Emanuela Bricolo, Chiara Turati, Maria Dolores de Hevia, Luisa Girelli, Monica Casati, Nadia Bolognini, Irene Senna and Elena Vittoria Longhi. Their work appears in journals such as Journal of Experimental Child Psychology, Developmental Science, Visual Cognition, Journal of Experimental Psychology Human Perception & Performance and Cognition.

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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