Laura Ferreri

79 total papers · 1.6k total citations
35 papers, 795 citations indexed

About

Laura Ferreri is a scholar working on Cognitive Neuroscience, Social Psychology and Music. According to data from OpenAlex, Laura Ferreri has authored 35 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 20 papers in Social Psychology and 9 papers in Music. Recurrent topics in Laura Ferreri's work include Neuroscience and Music Perception (21 papers), Music Therapy and Health (18 papers) and Diverse Music Education Insights (9 papers). Laura Ferreri is often cited by papers focused on Neuroscience and Music Perception (21 papers), Music Therapy and Health (18 papers) and Diverse Music Education Insights (9 papers). Laura Ferreri collaborates with scholars based in France, Italy and Spain. Laura Ferreri's co-authors include Antoni Rodrı́guez-Fornells, Emmanuel Bigand, Aurélia Bugaïska, Pablo Ripollés, Ernest Mas‐Herrero, Robert J. Zatorre, Jordi Riba, Marta Valle, Makii Muthalib and Alba Gómez-Andrés and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Laura Ferreri

32 papers receiving 774 citations

Hit Papers

Dopamine modulates the re... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Laura Ferreri 646 433 203 118 55 35 795
Clara E. James 563 0.9× 241 0.6× 144 0.7× 89 0.8× 34 0.6× 41 737
Aleksi J. Sihvonen 552 0.9× 343 0.8× 80 0.4× 72 0.6× 61 1.1× 40 737
Mathias S. Oechslin 792 1.2× 192 0.4× 128 0.6× 201 1.7× 183 3.3× 18 941
Wiebke Trost 794 1.2× 329 0.8× 119 0.6× 282 2.4× 19 0.3× 22 941
Claude-Alain Hauert 831 1.3× 208 0.5× 74 0.4× 175 1.5× 31 0.6× 23 962
Nicolò F. Bernardi 480 0.7× 372 0.9× 78 0.4× 102 0.9× 10 0.2× 25 737
Manon Robert 524 0.8× 200 0.5× 35 0.2× 219 1.9× 85 1.5× 47 882
Annemarie Seither‐Preisler 661 1.0× 53 0.1× 92 0.5× 144 1.2× 28 0.5× 30 744
Evangelos Paraskevopoulos 539 0.8× 108 0.2× 50 0.2× 275 2.3× 21 0.4× 50 720
Jessica Slater 729 1.1× 172 0.4× 215 1.1× 147 1.2× 6 0.1× 20 860

Countries citing papers authored by Laura Ferreri

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ferreri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Ferreri

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Ferreri. A scholar is included among the top collaborators of Laura Ferreri 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 Laura Ferreri. Laura Ferreri 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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