Claudia Fracassi

27 total papers · 1.1k total citations
16 papers, 892 citations indexed

About

Claudia Fracassi is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Claudia Fracassi has authored 16 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Claudia Fracassi's work include Functional Brain Connectivity Studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Neural dynamics and brain function (8 papers). Claudia Fracassi is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Neural dynamics and brain function (8 papers). Claudia Fracassi collaborates with scholars based in Italy, United States and United Kingdom. Claudia Fracassi's co-authors include Giovanni B. Frisoni, Cristina Geroldi, Paolo Maria Rossini, Michela Pievani, Davide Vito Moretti, Claudio Babiloni, Giuliano Binetti, Orazio Zanetti, Fabrizio Vecchio and Raffaele Ferri and has published in prestigious journals such as NeuroImage, European Journal of Neuroscience and Human Brain Mapping.

In The Last Decade

Claudia Fracassi

16 papers receiving 866 citations

Author Peers

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

Author						Papers	Cites
Claudia Fracassi	766	262	118	107	86	16	892
C. Besthorn	503 0.7×	293 1.1×	62 0.5×	70 0.7×	163 1.9×	21	830
Christian Sandøe Musaeus	449 0.6×	170 0.6×	96 0.8×	104 1.0×	137 1.6×	40	709
Derya Durusu Emek‐Savaş	569 0.7×	155 0.6×	53 0.4×	113 1.1×	57 0.7×	32	748
J. Brinkmeyer	624 0.8×	172 0.7×	71 0.6×	49 0.5×	114 1.3×	24	830
Hanneke de Waal	458 0.6×	220 0.8×	91 0.8×	74 0.7×	250 2.9×	22	840
Keiichiro Nishida	542 0.7×	152 0.6×	84 0.7×	63 0.6×	36 0.4×	36	757
Naomi Saito	648 0.8×	118 0.5×	63 0.5×	65 0.6×	42 0.5×	23	786
C. Geiger‐Kabisch	551 0.7×	326 1.2×	60 0.5×	89 0.8×	162 1.9×	21	1.0k
Bethany F. Jones	502 0.7×	211 0.8×	92 0.8×	169 1.6×	162 1.9×	6	733
Martin Kaltenhäuser	509 0.7×	312 1.2×	74 0.6×	127 1.2×	123 1.4×	35	801

Countries citing papers authored by Claudia Fracassi

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Fracassi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Fracassi

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