Umberta Bortolini

1.6k citations
12 papers · 1.1k · h-index 12

Impact in

Papers in

Umberta Bortolini

12 papers receiving 1.0k citations

Peers

Umberta Bortolini
Comparison fields: 5 of 48
  • Developmental and Educational Psychology 951
  • Cognitive Neuroscience 548
  • Experimental and Cognitive Psychology 245
  • Linguistics and Language 53
  • Language and Linguistics 106
Replace Patricia Deevy with:
Patricia Deevy United States
Judith C. Goodman United States
Chris Dollaghan United States
David Snow United States
Barbara Williams Hodson United States
Stavroula Stavrakaki Greece
Jenn-Yeu Chen Taiwan
Jeffry A. Coady United States
Annabel S. C. Thorn United Kingdom
Nan Xu Rattanasone Australia
Umberta Bortolini relative to Patricia Deevy United States Patricia Deevy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Umberta Bortolini

Since Specialization
Citations

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

Fields of papers citing papers by Umberta Bortolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Umberta Bortolini, 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 Umberta Bortolini Line = papers co-authored together Umberta Bortolini links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1992283
2
Lessico di frequenza della lingua Italiana contemporanea
1972181
3 2006138
4 1998107
5 1997101
6 200286
7 200082
8 199151
9 199639
10 199329
11 199823
12 199520

About Umberta Bortolini

Umberta Bortolini is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence and Pharmacy, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Language Development and Disorders (11 papers), Reading and Literacy Development (8 papers), Neurobiology of Language and Bilingualism (5 papers), Phonetics and Phonology Research (3 papers), Text Readability and Simplification (1 paper), Infant Health and Development (1 paper) and Linguistic Studies and Language Acquisition (1 paper). The work is most often cited by research in Developmental and Educational Psychology (951 citations), Cognitive Neuroscience (548 citations), Experimental and Cognitive Psychology (245 citations), Linguistics and Language (53 citations) and Language and Linguistics (106 citations). Umberta Bortolini has collaborated with scholars based in United States and Italy. Frequent co-authors include Laurence B. Leonard, María Cristina Caselli, Antonio Zampollí, Carlo Tagliavini, Karla K. McGregor, Patricia Deevy, Barbara Arfé and R Fior. Their work appears in journals such as Clinical Linguistics & Phonetics, International Journal of Language & Communication Disorders, Journal of Speech Language and Hearing Research, Applied Psycholinguistics and International Journal of Pediatric Otorhinolaryngology.

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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