Silvia Benavides‐Varela
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- Language Development and Disorders 15
- Reading and Literacy Development 13
- Child and Animal Learning Development 8
- Statistics and Probability top 1%
- Cognitive and developmental aspects of mathematical skills 27
- Cognitive Neuroscience top 5%
- Neurobiology of Language and Bilingualism 6
- Spatial Neglect and Hemispheric Dysfunction 6
- Pharmacy top 5%
- Infant Health and Development 5
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- Dementia and Cognitive Impairment Research 6
- Co-authors
- Jacques MehlerMarina NesporCarlo SemenzaJean‐Rémy HochmannRicardo A. H. BionFrancesca BurgioDaniela LucangeliDavid M. Gómez
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Silvia Benavides‐Varela
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Developmental and Educational Psychology 522
- Statistics and Probability 300
- Cognitive Neuroscience 411
- Experimental and Cognitive Psychology 235
- Pharmacy 72
Countries citing papers authored by Silvia Benavides‐Varela
This map shows the geographic impact of Silvia Benavides‐Varela'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 Silvia Benavides‐Varela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Benavides‐Varela more than expected).
Fields of papers citing papers by Silvia Benavides‐Varela
This network shows the impact of papers produced by Silvia Benavides‐Varela. 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 Silvia Benavides‐Varela. The network helps show where Silvia Benavides‐Varela may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silvia Benavides‐Varela, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 21 | |
| 17 | 2018 | 7 | |
| 18 | 2016 | 18 | |
| 19 | 2016 | 22 | |
| 20 | 2014 | 50 |
About Silvia Benavides‐Varela
Silvia Benavides‐Varela is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (27 papers), Language Development and Disorders (15 papers), Reading and Literacy Development (13 papers), Child and Animal Learning Development (8 papers), Neurobiology of Language and Bilingualism (6 papers), Spatial Neglect and Hemispheric Dysfunction (6 papers), Dementia and Cognitive Impairment Research (6 papers) and Infant Health and Development (5 papers). The work is most often cited by research in Developmental and Educational Psychology (522 citations), Statistics and Probability (300 citations) and Cognitive Neuroscience (411 citations). Silvia Benavides‐Varela has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Jacques Mehler, Marina Nespor, Carlo Semenza, Jean‐Rémy Hochmann, Ricardo A. H. Bion, Francesca Burgio, Daniela Lucangeli, David M. Gómez, Francesco Macagno and Francesca Meneghello. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.
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.