Chiara Pecini

2.1k citations
65 papers · 1.4k · h-index 20

Impact in

Papers in

Chiara Pecini

59 papers receiving 1.3k citations

Peers

Chiara Pecini
Comparison fields: 5 of 89
  • Developmental and Educational Psychology 607
  • Computer Science Applications 192
  • Cognitive Neuroscience 573
  • Psychiatry and Mental health 204
  • Statistics and Probability 119
Replace Gnanathusharan Rajendran with:
Gnanathusharan Rajendran United Kingdom
Eleni Mitsea Greece
Sanne H.G. van der Ven Netherlands
Maria Lieto Italy
Adam Naples United States
Milena Ruffino Italy
Emily K. Farran United Kingdom
Joshua J. Diehl United States
Alexandra Economou Greece
Linda J. Lombardino United States
Chiara Pecini relative to Gnanathusharan Rajendran United Kingdom Gnanathusharan Rajendran's profile →
Citations per field
00.5×2×3×4.0×
Gnanathusharan Rajendran · 1×
Citations per year

Countries citing papers authored by Chiara Pecini

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Pecini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chiara Pecini, 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 Chiara Pecini Line = papers co-authored together Chiara Pecini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017172
2 200593
3 200690
4 200587
5 200586
6 200262
7 200852
8 200549
9 201846
10 201743
11 200541
12 202040
13 200638
14 200937
15 201732
16 202030
17 200730
18 201928
19 201126
20 201822

About Chiara Pecini

Chiara Pecini is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Education, Experimental and Cognitive Psychology and Statistics and Probability, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reading and Literacy Development (25 papers), Neurobiology of Language and Bilingualism (14 papers), Educational and Psychological Assessments (13 papers), Autism Spectrum Disorder Research (12 papers), Language Development and Disorders (10 papers), Cognitive and developmental aspects of mathematical skills (7 papers), Cognitive Abilities and Testing (6 papers) and Early Childhood Education and Development (6 papers). The work is most often cited by research in Developmental and Educational Psychology (607 citations), Computer Science Applications (192 citations), Cognitive Neuroscience (573 citations), Psychiatry and Mental health (204 citations) and Statistics and Probability (119 citations). Chiara Pecini has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Daniela Brizzolara, Anna Maria Chilosi, Giovanni Cioni, Paola Cipriani, Maria Lieto, Emanuela Castro, Giuseppina Sgandurra, Pierluigi Zoccolotti, Emanuela Inguaggiato and Francesca Cecchi. Their work appears in journals such as Research in Developmental Disabilities, Child Neuropsychology, Trends in Neuroscience and Education, Developmental Medicine & Child Neurology and Cortex.

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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