Emma Acerbo

36 total papers · 729 total citations
16 papers, 312 citations indexed

About

Emma Acerbo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Emma Acerbo has authored 16 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 7 papers in Neurology. Recurrent topics in Emma Acerbo's work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Neurological disorders and treatments (6 papers). Emma Acerbo is often cited by papers focused on Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Neurological disorders and treatments (6 papers). Emma Acerbo collaborates with scholars based in France, Czechia and Sweden. Emma Acerbo's co-authors include Adam Williamson, Florian Missey, Boris Botzanowski, Nir Grossman, Esra Neufeld, Antonino M. Cassarà, Viktor Jirsa, Romain Carron, Álvaro Pascual‐Leone and Romain Carron and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Advanced Functional Materials.

In The Last Decade

Emma Acerbo

14 papers receiving 308 citations

Hit Papers

Non-invasive temporal int... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Emma Acerbo 194 149 128 90 77 16 312
Amol P. Yadav 122 0.6× 109 0.7× 74 0.6× 117 1.3× 43 0.6× 13 267
Chany Lee 111 0.6× 206 1.4× 138 1.1× 32 0.4× 61 0.8× 28 347
Jason Begnaud 134 0.7× 184 1.2× 207 1.6× 99 1.1× 30 0.4× 9 304
Maria Chiara Biagi 68 0.4× 111 0.7× 130 1.0× 58 0.6× 93 1.2× 17 290
Abhrajeet Roy 103 0.5× 221 1.5× 132 1.0× 43 0.5× 57 0.7× 11 355
Hadass Tischler 258 1.3× 118 0.8× 67 0.5× 224 2.5× 27 0.4× 10 330
Claudia Ammann 77 0.4× 144 1.0× 246 1.9× 83 0.9× 105 1.4× 21 339
Paula Davila-Pérez 63 0.3× 204 1.4× 162 1.3× 54 0.6× 33 0.4× 13 348
Christianne Heck 148 0.8× 111 0.7× 68 0.5× 130 1.4× 14 0.2× 15 301
Tina Vrabec 214 1.1× 117 0.8× 104 0.8× 47 0.5× 113 1.5× 30 335

Countries citing papers authored by Emma Acerbo

Since Specialization
Citations

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

Fields of papers citing papers by Emma Acerbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Acerbo

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