Laura Monetta

2.3k citations
77 papers · 1.5k · h-index 20

Impact in

Papers in

Laura Monetta

70 papers receiving 1.5k citations

Peers

Laura Monetta
Comparison fields: 5 of 87
  • Cognitive Neuroscience 777
  • Experimental and Cognitive Psychology 408
  • Neurology 241
  • Developmental and Educational Psychology 218
  • Psychiatry and Mental health 192
Replace R. Tomer with:
R. Tomer Israel
Esther Janse Netherlands
Jane E. Warren United Kingdom
J. Uekermann Germany
César F. Lima Portugal
Margaret O’Connor United States
Jean–Luc Nespoulous France
Benjamin Kreifelts Germany
Maarten Milders United Kingdom
Jennifer Sandson United States
Laura Monetta relative to R. Tomer Israel R. Tomer's profile →
Citations per field
00.5×
R. Tomer · 1×
Citations per year

Countries citing papers authored by Laura Monetta

Since Specialization
Citations

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

Fields of papers citing papers by Laura Monetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laura Monetta, 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 Laura Monetta Line = papers co-authored together Laura Monetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009169
2 2007111
3 2016110
4 200998
5 200698
6 201285
7 201081
8 201375
9 201047
10 200943
11 201341
12 201736
13 200836
14 201529
15 200829
16 201328
17 201426
18 200623
19 200721
20 200420

About Laura Monetta

Laura Monetta is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Social Psychology and Neurology, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (51 papers), Language Development and Disorders (12 papers), Language, Metaphor, and Cognition (10 papers), Reading and Literacy Development (9 papers), Action Observation and Synchronization (7 papers), Multisensory perception and integration (6 papers), Dementia and Cognitive Impairment Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Cognitive Neuroscience (777 citations), Experimental and Cognitive Psychology (408 citations), Neurology (241 citations), Developmental and Educational Psychology (218 citations) and Psychiatry and Mental health (192 citations). Laura Monetta has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Marc D. Pell, Sonja A. Kotz, Joël Macoir, Silke Paulmann, Christopher M. Grindrod, Chinar Dara, Yves Joanette, Amélie M. Achim, Robert Laforce and Abhishek Jaywant. Their work appears in journals such as Brain and Language, Canadian Journal on Aging / La Revue canadienne du vieillissement, Journal of Neurolinguistics, Neurocase and Archives of Clinical Neuropsychology.

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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