Nuria Calet

25 papers receiving 288 citations

Peers

Nuria Calet
Comparison fields: 5 of 34
  • Developmental and Educational Psychology 214
  • Neuropsychology and Physiological Psychology 17
  • Education 142
  • Cognitive Neuroscience 62
  • Statistics and Probability 27
Replace Fernanda Leopoldina Viana with:
Fernanda Leopoldina Viana Portugal
Remedios Guzmán Rosquete Spain
Carmen Julia Coloma Chile
Emilio Ribes Mexico
Marína Mikulajová Slovakia
Carmen López‐Escribano Spain
Einat Nevo Israel
Miroslava Nováková Schöffelová Czechia
Nicolás Gutiérrez Palma Spain
Vanitha Pillay Canada
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Citations per field
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Citations per year

Countries citing papers authored by Nuria Calet

Since Specialization
Citations

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

Fields of papers citing papers by Nuria Calet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Nuria Calet, 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 Nuria Calet Line = papers co-authored together Nuria Calet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201347
3 201741
4 201429
5 201022
6 201918
7 201518
8 201914
9 201510
10 20198
11 20217
12 20186
13 20196
14 20146
15 20153
16 20163
17 20213
18
THE PROFILE OF STUDENTS WHO ARE MOTIVATED TO TAKE PART IN AN INNOVATIVE TEACHING PROJECT AIMED AT IMPROVING THE QUALITY OF TEACHING PRACTICE GIVEN TO STUDENTS IN TEACHER OF PRIMARY EDUCATION
20151
19 20241
20 20161

About Nuria Calet

Nuria Calet is a scholar working on Developmental and Educational Psychology, Education, Cognitive Neuroscience, Neuropsychology and Physiological Psychology and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 303 indexed citations. Recurring topics across this work include Reading and Literacy Development (15 papers), Language Development and Disorders (8 papers), Literacy and Educational Practices (7 papers), Developmental and Educational Neuropsychology (4 papers), Neurobiology of Language and Bilingualism (4 papers), Writing and Handwriting Education (3 papers), Educational Outcomes and Influences (2 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Developmental and Educational Psychology (214 citations), Neuropsychology and Physiological Psychology (17 citations), Education (142 citations), Cognitive Neuroscience (62 citations) and Statistics and Probability (27 citations). Nuria Calet has collaborated with scholars based in Spain, Austria and United Kingdom. Frequent co-authors include Sylvia Defior, Nicolás Gutiérrez Palma, Ian C. Simpson, Cristina Dumitrache, Francisca Serrano, Pastora Martínez‐Castilla, José Luís Arco Tirado, Francisco D. Fernández Martín, Robert E. Slavin and José A. González. Their work appears in journals such as Journal of Research in Reading, Research in Developmental Disabilities, Aging & Mental Health, Review of Educational Research and Child Language Teaching and Therapy.

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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