Anna Maria Di Betta

956 citations
13 papers · 702 indexed · h-index 10

Anna Maria Di Betta

13 papers receiving 683 citations

Peers

Anna Maria Di Betta
Comparison fields: 5 of 65
  • Developmental and Educational Psychology 381
  • Cognitive Neuroscience 551
  • Experimental and Cognitive Psychology 143
  • Statistics and Probability 63
  • Linguistics and Language 21
Replace Christian Forkstam with:
Christian Forkstam Netherlands
Qing Cai China
Gregory Hickok United States
Anna Marzecová Poland
Simon Gerhand United Kingdom
Chotiga Pattamadilok France
Matthew D. Hilchey Canada
Julia Uddén Netherlands
Mark Yates United States
Anna Maria Di Betta relative to Christian Forkstam Netherlands Christian Forkstam's profile →
Citations per field
00.5×4.2×
Christian Forkstam · 1×
Citations per year

Countries citing papers authored by Anna Maria Di Betta

Since Specialization
Citations

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

Fields of papers citing papers by Anna Maria Di Betta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Anna Maria Di Betta, 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 Anna Maria Di Betta Line = papers co-authored together Anna Maria Di Betta links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201428
2 201033
3
Adaptation to Italian-accented English: A comparison of native and nonnative listeners
20101
4 200916
5 2008223
6 200820
7 200549
8 199844
9 1997169
10 199786
11 199625
12 19907
13
EASI (expert advisor for system identification): a prototype package for linear and nonlinear systems
19881

About Anna Maria Di Betta

Anna Maria Di Betta is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 13 papers that have together received 702 indexed citations. Recurring topics across this work include Reading and Literacy Development (4 papers), Language Development and Disorders (3 papers), Neurobiology of Language and Bilingualism (3 papers), Phonetics and Phonology Research (3 papers), Speech and dialogue systems (2 papers), Neural Networks and Applications (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Developmental and Educational Psychology (381 citations), Cognitive Neuroscience (551 citations) and Experimental and Cognitive Psychology (143 citations). Anna Maria Di Betta has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Maria Caterina Silveri, M. Gareth Gaskell, Giuseppe Vallar, Matthew H. Davis, Cristina Romani, Guido Gainotti, Andrew Olson, Susanna Almonti, Andréa Weber and James M. McQueen. Their work appears in journals such as Neuropsychologia, Journal of Cognitive Neuroscience and Journal of Experimental Psychology Learning Memory and Cognition.

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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