Daniela Gatt

514 citations
28 papers · 344 · h-index 10

Impact in

Papers in

Daniela Gatt

24 papers receiving 316 citations

Peers

Daniela Gatt
Comparison fields: 5 of 32
  • Developmental and Educational Psychology 239
  • Linguistics and Language 48
  • Language and Linguistics 65
  • Cognitive Neuroscience 108
  • Experimental and Cognitive Psychology 60
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Citations per year

Countries citing papers authored by Daniela Gatt

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniela Gatt, 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 Daniela Gatt Line = papers co-authored together Daniela Gatt 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 201688
2 201569
3 201645
4 202015
5 201415
6 201515
7 201613
8 200712
9 201510
10 201710
11
Using parent report to assess early lexical production in children exposed to more than one language
20157
12 20137
13 20166
14 20166
15 20086
16 20195
17
The Acquisition of Quantification across Languages: Some Predictions
20114
18 20193
19 20192
20 20232

About Daniela Gatt

Daniela Gatt is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Statistics and Probability, Education and Occupational Therapy, having authored 28 papers that have together received 344 indexed citations. Recurring topics across this work include Language Development and Disorders (23 papers), Reading and Literacy Development (19 papers), Neurobiology of Language and Bilingualism (8 papers), Child and Animal Learning Development (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers), Hearing Impairment and Communication (2 papers), Child Development and Digital Technology (1 paper) and Family and Disability Support Research (1 paper). The work is most often cited by research in Developmental and Educational Psychology (239 citations), Linguistics and Language (48 citations), Language and Linguistics (65 citations), Cognitive Neuroscience (108 citations) and Experimental and Cognitive Psychology (60 citations). Daniela Gatt has collaborated with scholars based in Malta, United Kingdom and Australia. Frequent co-authors include Barbara J. Dodd, Ciara O’Toole, Ewa Haman, Helen Grech, Sophie Kern, Tina M. Hickey, Christophe dos Santos, Tanja Rinker, Aneta Miękisz and Sharon Armon-Lotem. Their work appears in journals such as Clinical Linguistics & Phonetics, International Journal of Bilingual Education and Bilingualism, First Language, International Journal of Bilingualism and Proceedings of the National Academy of Sciences.

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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