Maria Garraffa

756 total citations
48 papers, 475 citations indexed

About

Maria Garraffa is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Language and Linguistics. According to data from OpenAlex, Maria Garraffa has authored 48 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Developmental and Educational Psychology, 32 papers in Cognitive Neuroscience and 9 papers in Language and Linguistics. Recurrent topics in Maria Garraffa's work include Reading and Literacy Development (28 papers), Neurobiology of Language and Bilingualism (28 papers) and Language Development and Disorders (27 papers). Maria Garraffa is often cited by papers focused on Reading and Literacy Development (28 papers), Neurobiology of Language and Bilingualism (28 papers) and Language Development and Disorders (27 papers). Maria Garraffa collaborates with scholars based in United Kingdom, Italy and Malaysia. Maria Garraffa's co-authors include Nino Grillo, Antonella Sorace, Carla Contemori, Moreno I. Coco, Holly P. Branigan, Maria Teresa Guasti, Mateo Obregón, Valantis Fyndanis, Julie Morris and Alberto Di Domenico and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Experimental Brain Research.

In The Last Decade

Maria Garraffa

47 papers receiving 456 citations

Peers

Maria Garraffa
Comparison fields: 5 of 40
  • Developmental and Educational Psychology 366
  • Cognitive Neuroscience 324
  • Language and Linguistics 94
  • Artificial Intelligence 54
  • Experimental and Cognitive Psychology 44
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Citations per field, relative to Maria Garraffa
Maria Garraffa · 1×
Citations per year, relative to Maria Garraffa
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Countries citing papers authored by Maria Garraffa

Since Specialization
Citations

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

Fields of papers citing papers by Maria Garraffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Garraffa

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Garraffa. A scholar is included among the top collaborators of Maria Garraffa 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 Maria Garraffa. Maria Garraffa 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
# Work Indexed citations
1 1
2 1
3 1
4 3
5 1
6 1
7 1
8 2
9 5
10 2
11 2
12 0
13 1
14 2
15 3
16 7
17 17
18 40
19 11
20
Subject Relative Production in SLI Children during Syntactic Priming and Sentence Repetition
7

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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