Chiara Pecini

2.0k total citations
62 papers, 1.3k citations indexed

About

Chiara Pecini is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Education. According to data from OpenAlex, Chiara Pecini has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Developmental and Educational Psychology, 29 papers in Cognitive Neuroscience and 19 papers in Education. Recurrent topics in Chiara Pecini's work include Reading and Literacy Development (29 papers), Neurobiology of Language and Bilingualism (15 papers) and Educational and Psychological Assessments (12 papers). Chiara Pecini is often cited by papers focused on Reading and Literacy Development (29 papers), Neurobiology of Language and Bilingualism (15 papers) and Educational and Psychological Assessments (12 papers). Chiara Pecini collaborates with scholars based in Italy, United Kingdom and Spain. Chiara Pecini's co-authors include Daniela Brizzolara, Anna Maria Chilosi, Giovanni Cioni, Paola Cipriani, Maria Lieto, Pierluigi Zoccolotti, Emanuela Castro, Sandra Maestro, Giuseppina Sgandurra and Filippo Muratori and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Chiara Pecini

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Pecini Italy 21 622 581 289 218 172 62 1.3k
Emily K. Farran United Kingdom 26 620 1.0× 411 0.7× 246 0.9× 130 0.6× 13 0.1× 113 1.9k
Sanne H.G. van der Ven Netherlands 17 819 1.3× 341 0.6× 707 2.4× 169 0.8× 75 0.4× 34 1.8k
Linda J. Lombardino United States 21 1.3k 2.1× 1.2k 2.0× 306 1.1× 125 0.6× 9 0.1× 65 2.0k
Nicholas A. Badcock Australia 23 513 0.8× 1.1k 1.9× 236 0.8× 92 0.4× 7 0.0× 74 1.8k
Maria Lieto Italy 15 157 0.3× 107 0.2× 115 0.4× 90 0.4× 170 1.0× 41 691
Sergey Malykh Russia 14 218 0.4× 162 0.3× 253 0.9× 51 0.2× 15 0.1× 139 910
Milena Ruffino Italy 18 1.6k 2.5× 1.3k 2.2× 296 1.0× 208 1.0× 18 0.1× 30 2.1k
Rick O. Gilmore United States 18 326 0.5× 533 0.9× 76 0.3× 45 0.2× 14 0.1× 57 1.2k
Sarah Weigelt Germany 21 278 0.4× 1.2k 2.1× 87 0.3× 102 0.5× 8 0.0× 53 1.6k
Silvia Lanfranchi Italy 20 680 1.1× 490 0.8× 321 1.1× 255 1.2× 4 0.0× 72 1.7k

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-authorship network of co-authors of Chiara Pecini

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Pecini. A scholar is included among the top collaborators of Chiara Pecini 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 Chiara Pecini. Chiara Pecini 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.
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Bischetti, Luca, et al.. (2025). Emotional engagement in a humor-understanding reading task: an AI study perspective. Current Psychology. 44(9). 7818–7831. 1 indexed citations
3.
4.
Casalini, Claudia & Chiara Pecini. (2024). Telerehabilitation of Developmental Dyslexia: Critical Considerations on Intervention Methods and Their Effectiveness. Brain Sciences. 14(8). 793–793. 1 indexed citations
5.
Bigozzi, Lucia, et al.. (2024). Which childhood predictive indices forecast reading and writing skills in school-age children: a systematic review. Child Neuropsychology. 31(1). 1–36. 4 indexed citations
6.
Pecini, Chiara, et al.. (2024). Executive functions as predictors of learning prerequisites in preschool: A longitudinal study. Trends in Neuroscience and Education. 36. 100239–100239.
7.
Capodieci, Agnese, et al.. (2023). Telerehabilitation Pathways in Specific Learning Disorders: Improving Reading and Writing. Brain Sciences. 13(3). 479–479. 5 indexed citations
8.
Capodieci, Agnese, Gian Marco Marzocchi, Chiara Pecini, et al.. (2023). TeleFE: A New Tool for the Tele-Assessment of Executive Functions in Children. Applied Sciences. 13(3). 1728–1728. 13 indexed citations
9.
Lieto, Maria, Claudia Casalini, Chiara Pecini, et al.. (2023). Specific Learning Disabilities and Emotional-Behavioral Difficulties: Phenotypes and Role of the Cognitive Profile. Journal of Clinical Medicine. 12(5). 1882–1882. 13 indexed citations
10.
Pecini, Chiara, Claudia Casalini, Paolo Bosco, et al.. (2022). Relationship among Connectivity of the Frontal Aslant Tract, Executive Functions, and Speech and Language Impairment in Children with Childhood Apraxia of Speech. Brain Sciences. 13(1). 78–78. 1 indexed citations
11.
Bigozzi, Lucia, et al.. (2021). Attention Components and Spelling Accuracy: Which Connections Matter?. Children. 8(7). 539–539. 3 indexed citations
12.
Lieto, Maria, et al.. (2020). Executive Functioning in children with Specific Learning Disorder according to parents’ perception: a study with the BRIEF-2 questionnaire. Psicologia clinica dello sviluppo. 285–301. 1 indexed citations
13.
Castro, Emanuela, et al.. (2020). Associations between Learning and Behavioral Difficulties in Second-Grade Children. Children. 7(9). 112–112. 8 indexed citations
14.
Lieto, Maria, Chiara Pecini, Emanuela Castro, et al.. (2020). Empowering Executive Functions in 5- and 6-Year-Old Typically Developing Children Through Educational Robotics: An RCT Study. Frontiers in Psychology. 10. 3084–3084. 26 indexed citations
15.
Lieto, Maria, Emanuela Castro, Chiara Pecini, et al.. (2020). Improving Executive Functions at School in Children With Special Needs by Educational Robotics. Frontiers in Psychology. 10. 2813–2813. 38 indexed citations
16.
Pecini, Chiara, Laura Biagi, Daniela Brizzolara, et al.. (2011). How Many Functional Brains in Developmental Dyslexia? When the History of Language Delay Makes the Difference. Cognitive and Behavioral Neurology. 24(2). 85–92. 25 indexed citations
17.
Brizzolara, Daniela, Anna Maria Chilosi, Paola Cipriani, et al.. (2006). Do Phonologic and Rapid Automatized Naming Deficits Differentially Affect Dyslexic Children With and Without a History of Language Delay? A Study of Italian Dyslexic Children. Cognitive and Behavioral Neurology. 19(3). 141–149. 86 indexed citations
18.
Maestro, Sandra, et al.. (2005). A view to regressive autism through home movies. Is early development really normal?. Acta Psychiatrica Scandinavica. 113(1). 68–72. 47 indexed citations
19.
Chilosi, Anna Maria, Chiara Pecini, Paola Cipriani, et al.. (2005). Atypical language lateralization and early linguistic development in children with focal brain lesions. Developmental Medicine & Child Neurology. 47(11). 725–725. 39 indexed citations
20.
Bello, Arianna, et al.. (2003). Comparsa e sviluppo di abilità metafonologiche in bambini di scuola materna. Psicologia clinica dello sviluppo. 7(3). 385–402. 3 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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