Chiara Pecini

2.1k citations
62 papers · 1.3k · h-index 20

Impact in

Papers in

Chiara Pecini

56 papers receiving 1.2k citations

Peers

Chiara Pecini
Comparison fields: 5 of 87
  • Developmental and Educational Psychology 571
  • Computer Science Applications 173
  • Cognitive Neuroscience 528
  • Statistics and Probability 115
  • Psychiatry and Mental health 184
Replace Gnanathusharan Rajendran with:
Gnanathusharan Rajendran United Kingdom
Eleni Mitsea Greece
Sanne H.G. van der Ven Netherlands
Maria Lieto Italy
Linda J. Lombardino United States
Milena Ruffino Italy
Alexandra Economou Greece
Emily K. Farran United Kingdom
Arnaud Szmalec Belgium
Nicholas A. Badcock Australia
Chiara Pecini relative to Gnanathusharan Rajendran United Kingdom Gnanathusharan Rajendran's profile →
Citations per field
00.5×5.8×
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017156
2 200686
3 200584
4 200583
5 200579
6 200259
7 200547
8 200844
9 201742
10 201840
11 200539
12 202038
13 200636
14 200935
15 201729
16 202028
17 201928
18 201125
19 200724
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 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reading and Literacy Development (24 papers), Neurobiology of Language and Bilingualism (13 papers), Autism Spectrum Disorder Research (11 papers), Educational and Psychological Assessments (11 papers), Language Development and Disorders (9 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 (571 citations), Computer Science Applications (173 citations), Cognitive Neuroscience (528 citations), Statistics and Probability (115 citations) and Psychiatry and Mental health (184 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, Pierluigi Zoccolotti, Emanuela Castro, Giuseppina Sgandurra, Filippo Muratori and Sandra Maestro. Their work appears in journals such as Research in Developmental Disabilities, Child Neuropsychology, Cortex, Trends in Neuroscience and Education and Developmental Medicine & Child Neurology.

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.

Explore authors with similar magnitude of impact