Maria Giulia Preti

107 total papers · 3.1k total citations
65 papers, 2.0k citations indexed

About

Maria Giulia Preti is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Maria Giulia Preti has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 31 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Maria Giulia Preti's work include Functional Brain Connectivity Studies (42 papers), Neural dynamics and brain function (24 papers) and Advanced Neuroimaging Techniques and Applications (23 papers). Maria Giulia Preti is often cited by papers focused on Functional Brain Connectivity Studies (42 papers), Neural dynamics and brain function (24 papers) and Advanced Neuroimaging Techniques and Applications (23 papers). Maria Giulia Preti collaborates with scholars based in Switzerland, Italy and United States. Maria Giulia Preti's co-authors include Dimitri Van De Ville, Thomas A. W. Bolton, Raphaël Liégeois, Enrico Amico, Giuseppe Baselli, Francesca Baglio, Ludovica Griffanti, George Papadimitriou, Martha E. Shenton and Marek Kubicki and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Maria Giulia Preti

64 papers receiving 2.0k citations

Hit Papers

The dynamic functional co... 2016 2026 2019 2022 2016 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Maria Giulia Preti 1.5k 771 274 201 135 65 2.0k
Jonas Richiardi 1.3k 0.9× 709 0.9× 233 0.9× 290 1.4× 131 1.0× 78 2.5k
Rafael Romero-García 1.6k 1.1× 864 1.1× 268 1.0× 320 1.6× 137 1.0× 58 2.2k
Kirstie Whitaker 1.3k 0.9× 700 0.9× 298 1.1× 230 1.1× 89 0.7× 47 2.1k
José Miguel Soares 1.2k 0.8× 770 1.0× 423 1.5× 300 1.5× 154 1.1× 47 2.2k
Paulo Marques 1.1k 0.7× 798 1.0× 249 0.9× 231 1.1× 207 1.5× 48 2.0k
Lester Melie‐García 1.8k 1.3× 1.1k 1.5× 240 0.9× 224 1.1× 124 0.9× 54 2.5k
Zaixu Cui 1.5k 1.1× 948 1.2× 467 1.7× 312 1.6× 125 0.9× 66 2.3k
Kai Hwang 1.8k 1.2× 526 0.7× 324 1.2× 230 1.1× 118 0.9× 44 2.4k
Yasser Alemán‐Gómez 1.4k 0.9× 1.0k 1.3× 154 0.6× 273 1.4× 108 0.8× 69 2.0k
Archana Venkataraman 1.8k 1.3× 784 1.0× 301 1.1× 246 1.2× 105 0.8× 53 2.1k

Countries citing papers authored by Maria Giulia Preti

Since Specialization
Citations

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

Fields of papers citing papers by Maria Giulia Preti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Giulia Preti. 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 Maria Giulia Preti. The network helps show where Maria Giulia Preti may publish in the future.

Co-authorship network of co-authors of Maria Giulia Preti

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Giulia Preti. A scholar is included among the top collaborators of Maria Giulia Preti 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 Maria Giulia Preti. Maria Giulia Preti 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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