Maria Giulia Preti

3.1k total citations · 1 hit paper
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, George Papadimitriou, Ludovica Griffanti, Marek Kubicki and Martha E. Shenton 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The dynamic functional connectome: State-of-the-art and perspectives

2016 945 citations Maria Giulia Preti, Thomas A. W. Bolton et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maria Giulia Preti Switzerland	20	1.5k	780	274	202	135	65	2.0k
Jonas Richiardi Switzerland	23	1.3k 0.9×	710 0.9×	233 0.9×	290 1.4×	133 1.0×	78	2.5k
Rafael Romero-García United Kingdom	23	1.6k 1.1×	883 1.1×	270 1.0×	325 1.6×	146 1.1×	57	2.2k
Paulo Marques Portugal	21	1.1k 0.7×	806 1.0×	250 0.9×	233 1.2×	208 1.5×	48	2.0k
Lester Melie‐García Switzerland	22	1.8k 1.2×	1.1k 1.5×	242 0.9×	224 1.1×	126 0.9×	54	2.5k
Kai Hwang United States	20	1.8k 1.2×	538 0.7×	326 1.2×	233 1.2×	121 0.9×	44	2.4k
Alberto Llera Netherlands	17	1.4k 1.0×	478 0.6×	289 1.1×	250 1.2×	114 0.8×	39	1.8k
Yasser Alemán‐Gómez Switzerland	20	1.4k 0.9×	1.0k 1.3×	156 0.6×	279 1.4×	109 0.8×	69	2.0k
Archana Venkataraman United States	15	1.9k 1.2×	786 1.0×	301 1.1×	249 1.2×	106 0.8×	53	2.1k
Rodrigo M. Braga United States	18	1.7k 1.1×	481 0.6×	319 1.2×	174 0.9×	84 0.6×	31	1.9k
Oscar Estéban United States	10	2.0k 1.3×	742 1.0×	438 1.6×	334 1.7×	95 0.7×	37	2.6k

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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20 of 20 papers shown

Tomczyk, Szymon, Federica Ribaldi, Max Scheffler, et al.. (2024). Fingerprints of brain disease: connectome identifiability in Alzheimer’s disease. Communications Biology. 7(1). 1169–1169. 4 indexed citations

Preti, Maria Giulia, et al.. (2024). Comparing structure–function relationships in brain networks using EEG and fNIRS. Scientific Reports. 14(1). 28976–28976. 3 indexed citations

Nowacki, Andreas, Ines Debove, Katrin Petermann, et al.. (2023). Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series. European Archives of Psychiatry and Clinical Neuroscience. 274(3). 685–696. 1 indexed citations

Preti, Maria Giulia, et al.. (2023). Prediction of post-stroke motor recovery benefits from measures of sub-acute widespread network damages. Brain Communications. 5(2). fcad055–fcad055. 5 indexed citations

Preti, Maria Giulia, Thomas A. W. Bolton, Alessandra Griffa, & Dimitri Van De Ville. (2023). Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling. IRIS. 1–5. 1 indexed citations

Griffa, Alessandra & Maria Giulia Preti. (2022). Brain structure-function coupling is unique to individuals across multiple frequency bands: a graph signal processing study. 2022 30th European Signal Processing Conference (EUSIPCO). 942–946. 2 indexed citations

Ville, Dimitri Van De, et al.. (2021). When makes you unique: Temporality of the human brain fingerprint. Science Advances. 7(42). eabj0751–eabj0751. 57 indexed citations

Bommarito, Giulia, Maria Giulia Preti, Maria Petracca, et al.. (2021). Altered anterior default mode network dynamics in progressive multiple sclerosis. Multiple Sclerosis Journal. 28(2). 206–216. 6 indexed citations

Siffredi, Vanessa, Maria Giulia Preti, Valeria Kebets, et al.. (2020). Structural Neuroplastic Responses Preserve Functional Connectivity and Neurobehavioural Outcomes in Children Born Without Corpus Callosum. Cerebral Cortex. 31(2). 1227–1239. 16 indexed citations

10.

Sokolov, Arseny A., Cristina Granziera, Elda Fischi-Gómez, et al.. (2019). Brain network analyses in clinical neuroscience. UCL Discovery (University College London). 3 indexed citations

11.

Quevenco, Frances C., Simon J. Schreiner, Maria Giulia Preti, et al.. (2019). GABA and glutamate moderate beta-amyloid related functional connectivity in cognitively unimpaired old-aged adults. NeuroImage Clinical. 22. 101776–101776. 28 indexed citations

12.

Pignat, Jean‐Michel, Jane Jöhr, Dimitri Van De Ville, et al.. (2016). Outcome Prediction of Consciousness Disorders in the Acute Stage Based on a Complementary Motor Behavioural Tool. PLoS ONE. 11(6). e0156882–e0156882. 47 indexed citations

13.

Preti, Maria Giulia & Dimitri Van De Ville. (2016). Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality. Infoscience (Ecole Polytechnique Fédérale de Lausanne). part i. 988–991. 6 indexed citations

14.

Preti, Maria Giulia, Thomas A. W. Bolton, & Dimitri Van De Ville. (2016). The dynamic functional connectome: State-of-the-art and perspectives. NeuroImage. 160. 41–54. 945 indexed citations breakdown →

15.

Preti, Maria Giulia, Nikos Makris, George Papadimitriou, et al.. (2014). A Novel Approach of Groupwise fMRI-Guided Tractography Allowing to Characterize the Clinical Evolution of Alzheimer's Disease. PLoS ONE. 9(3). e92026–e92026. 19 indexed citations

16.

Figini, Matteo, Ileana Zucca, Domenico Aquino, et al.. (2014). In vivo DTI tractography of the rat brain: an atlas of the main tracts in Paxinos space with histological comparison. Magnetic Resonance Imaging. 33(3). 296–303. 24 indexed citations

17.

Preti, Maria Giulia, Nikos Makris, Maria Marcella Laganà, et al.. (2012). A novel approach of fMRI-guided tractography analysis within a group: Construction of an fMRI-guided tractographic atlas. PubMed. 39. 2283–2286. 3 indexed citations

18.

Makris, Nikos, Maria Giulia Preti, Takeshi Asami, et al.. (2012). Human middle longitudinal fascicle: variations in patterns of anatomical connections. Brain Structure and Function. 218(4). 951–968. 74 indexed citations

19.

Laganà, Maria Marcella, Antonia Ceccarelli, Maria Giulia Preti, et al.. (2011). Atlas‐Based Versus Individual‐Based Fiber Tracking of the Corpus Callosum in Patients with Multiple Sclerosis: Reliability and Clinical Correlations. Journal of Neuroimaging. 22(4). 355–364. 5 indexed citations

20.

Preti, Maria Giulia, Maria Marcella Laganà, Francesca Baglio, et al.. (2011). Comparison between skeleton-based and atlas-based approach in the assessment of corpus callosum damages in Mild Cognitive Impairment and Alzheimer Disease. PubMed. 19. 7808–7811. 9 indexed citations

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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