Chiara Pinardi

51 total papers · 529 total citations
26 papers, 316 citations indexed

About

Chiara Pinardi is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chiara Pinardi has authored 26 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in Psychiatry and Mental health and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chiara Pinardi's work include Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (6 papers) and Migraine and Headache Studies (4 papers). Chiara Pinardi is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (6 papers) and Migraine and Headache Studies (4 papers). Chiara Pinardi collaborates with scholars based in Italy, China and United Kingdom. Chiara Pinardi's co-authors include Anna Nigri, Stefania Ferraro, Maria Grazia Bruzzone, Giuseppe Di Cesare, Roberto Gasparotti, Giacomo Rizzolatti, Claudia Ambrosi, Jessica Galli, Greta Demichelis and Fausto Caruana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cerebral Cortex.

In The Last Decade

Chiara Pinardi

26 papers receiving 315 citations

Author Peers

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

Author						Papers	Cites
Chiara Pinardi	112	111	71	68	46	26	316
Laura Alice Santos de Oliveira	93 0.8×	36 0.3×	51 0.7×	56 0.8×	48 1.0×	30	269
Mauro Catalan	54 0.5×	70 0.6×	33 0.5×	125 1.8×	32 0.7×	27	342
Riccardo Bravi	89 0.8×	41 0.4×	27 0.4×	49 0.7×	26 0.6×	29	325
Guillaume Barbieri	107 1.0×	76 0.7×	16 0.2×	53 0.8×	46 1.0×	11	327
Daniel Edward Young	133 1.2×	64 0.6×	22 0.3×	96 1.4×	29 0.6×	10	341
Chien‐Chen Chou	89 0.8×	100 0.9×	20 0.3×	39 0.6×	47 1.0×	30	356
Giulia D’Aurizio	82 0.7×	111 1.0×	52 0.7×	36 0.5×	31 0.7×	34	314
Natascia De Lucia	125 1.1×	99 0.9×	34 0.5×	65 1.0×	25 0.5×	35	326
Louis E. Tremblay	96 0.9×	41 0.4×	60 0.8×	64 0.9×	36 0.8×	18	236
Stefan Evers	75 0.7×	150 1.4×	53 0.7×	47 0.7×	11 0.2×	30	340

Countries citing papers authored by Chiara Pinardi

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Pinardi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Pinardi

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