Silvia Bonacina

29 total papers · 408 total citations
22 papers, 241 citations indexed

About

Silvia Bonacina is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Epidemiology. According to data from OpenAlex, Silvia Bonacina has authored 22 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Developmental and Educational Psychology and 4 papers in Epidemiology. Recurrent topics in Silvia Bonacina's work include Neuroscience and Music Perception (12 papers), Reading and Literacy Development (6 papers) and Hearing Loss and Rehabilitation (4 papers). Silvia Bonacina is often cited by papers focused on Neuroscience and Music Perception (12 papers), Reading and Literacy Development (6 papers) and Hearing Loss and Rehabilitation (4 papers). Silvia Bonacina collaborates with scholars based in United States, Italy and Tanzania. Silvia Bonacina's co-authors include Nina Kraus, Jennifer Krizman, Alessandro Antonietti, Travis White‐Schwoch, Alice Cancer, Maria Luisa Lorusso, Trent Nicol, Pier Luca Lanzi, Massimo Molteni and Stephanie Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Silvia Bonacina

18 papers receiving 229 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvia Bonacina 168 108 48 27 25 22 241
Marlin L. Languis 209 1.2× 104 1.0× 32 0.7× 79 2.9× 28 1.1× 18 306
Enikő Ladányi 233 1.4× 167 1.5× 34 0.7× 54 2.0× 16 0.6× 12 305
Paulo Barraza 203 1.2× 49 0.5× 23 0.5× 49 1.8× 16 0.6× 20 283
Tanja Rinker 137 0.8× 148 1.4× 18 0.4× 66 2.4× 39 1.6× 23 287
Cristina Ferraz Borges Murphy 234 1.4× 174 1.6× 39 0.8× 43 1.6× 16 0.6× 25 325
Sabrina Turker 195 1.2× 97 0.9× 10 0.2× 34 1.3× 8 0.3× 17 247
Hsin-Chi Wu 186 1.1× 103 1.0× 17 0.4× 86 3.2× 10 0.4× 17 312
Grégory Collet 248 1.5× 108 1.0× 39 0.8× 99 3.7× 17 0.7× 20 325
Karen Froud 188 1.1× 194 1.8× 14 0.3× 85 3.1× 18 0.7× 24 329
John R. B. Whittlesey 89 0.5× 81 0.8× 44 0.9× 16 0.6× 37 1.5× 13 331

Countries citing papers authored by Silvia Bonacina

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Bonacina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Bonacina

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Bonacina. A scholar is included among the top collaborators of Silvia Bonacina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvia Bonacina. Silvia Bonacina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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