Chiara Baiano

42 total papers · 974 total citations
30 papers, 642 citations indexed

About

Chiara Baiano is a scholar working on Cognitive Neuroscience, Neurology and Clinical Psychology. According to data from OpenAlex, Chiara Baiano has authored 30 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 8 papers in Neurology and 8 papers in Clinical Psychology. Recurrent topics in Chiara Baiano's work include Autism Spectrum Disorder Research (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Action Observation and Synchronization (5 papers). Chiara Baiano is often cited by papers focused on Autism Spectrum Disorder Research (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Action Observation and Synchronization (5 papers). Chiara Baiano collaborates with scholars based in Italy, Sweden and France. Chiara Baiano's co-authors include Gabriella Santangelo, Luigi Trojano, Paolo Barone, Massimiliano Conson, Alfonsina D’Iorio, Carmine Vitale, Federica Garramone, Simona Raimo, Marianna Amboni and Katia Longo and has published in prestigious journals such as Scientific Reports, Neuroscience & Biobehavioral Reviews and Experimental Brain Research.

In The Last Decade

Chiara Baiano

28 papers receiving 630 citations

Hit Papers

Prevalence and Clinical A... 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
Chiara Baiano 291 199 177 125 76 30 642
Cynthia McRae 283 1.0× 188 0.9× 165 0.9× 119 1.0× 44 0.6× 24 790
Alison Killen 201 0.7× 277 1.4× 178 1.0× 93 0.7× 32 0.4× 18 669
Silvia Zabberoni 201 0.7× 213 1.1× 208 1.2× 116 0.9× 155 2.0× 25 592
Alfonsina D’Iorio 296 1.0× 186 0.9× 161 0.9× 90 0.7× 89 1.2× 34 604
Anthony Bouckoms 138 0.5× 138 0.7× 176 1.0× 251 2.0× 110 1.4× 27 685
Bianca Besteher 153 0.5× 223 1.1× 160 0.9× 181 1.4× 121 1.6× 38 622
F.-J. Baylé 148 0.5× 167 0.8× 397 2.2× 153 1.2× 69 0.9× 27 682
Yehan Wang 117 0.4× 192 1.0× 136 0.8× 147 1.2× 83 1.1× 37 785
Chris Morrison 180 0.6× 211 1.1× 167 0.9× 79 0.6× 107 1.4× 28 632
Ronan Zimmermann 217 0.7× 237 1.2× 225 1.3× 171 1.4× 53 0.7× 39 695

Countries citing papers authored by Chiara Baiano

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Baiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Baiano

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