Marco Ganzetti

1.8k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

Marco Ganzetti is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Marco Ganzetti has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Marco Ganzetti's work include Functional Brain Connectivity Studies (9 papers), Advanced MRI Techniques and Applications (7 papers) and Neural dynamics and brain function (6 papers). Marco Ganzetti is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Advanced MRI Techniques and Applications (7 papers) and Neural dynamics and brain function (6 papers). Marco Ganzetti collaborates with scholars based in Switzerland, Belgium and United Kingdom. Marco Ganzetti's co-authors include Dante Mantini, Nicole Wenderoth, Gustavo Deco, Rikkert Hindriks, Yusuke Murayama, Mohit H. Adhikari, Nikos K. Logothetis, Quanying Liu, Massimiliano Ditroilo and Carlo Castagna and has published in prestigious journals such as NeuroImage, Scientific Reports and Neuroscience.

In The Last Decade

Marco Ganzetti

19 papers receiving 1.2k citations

Hit Papers

Can sliding-window correlations reveal dynamic functional... 2015 2026 2018 2022 2015 100 200 300 400
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.

  1. Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
    2015 468 citations Rikkert Hindriks, Mohit H. Adhikari et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Ganzetti Switzerland 12 776 412 123 104 102 19 1.2k
Daniel Güllmar Germany 21 596 0.8× 730 1.8× 56 0.5× 54 0.5× 72 0.7× 69 1.5k
Giovanni Giulietti Italy 23 640 0.8× 499 1.2× 151 1.2× 32 0.3× 75 0.7× 50 1.4k
Vitria Adisetiyo United States 11 527 0.7× 734 1.8× 28 0.2× 91 0.9× 60 0.6× 20 1.4k
Arnaud Le Troter France 25 268 0.3× 556 1.3× 193 1.6× 100 1.0× 35 0.3× 61 1.3k
Anil Rao United Kingdom 13 402 0.5× 588 1.4× 61 0.5× 45 0.4× 48 0.5× 19 1.1k
Jennifer S. W. Campbell Canada 14 501 0.6× 930 2.3× 99 0.8× 107 1.0× 66 0.6× 28 1.2k
Matteo Bastiani United Kingdom 19 681 0.9× 1.1k 2.8× 76 0.6× 95 0.9× 58 0.6× 30 1.6k
Maximilian Pietsch United Kingdom 10 753 1.0× 1.4k 3.3× 74 0.6× 67 0.6× 52 0.5× 17 1.9k
Sonya Bells Canada 15 522 0.7× 623 1.5× 73 0.6× 56 0.5× 23 0.2× 21 1.2k
Kristi A. Clark United States 18 586 0.8× 585 1.4× 35 0.3× 34 0.3× 44 0.4× 21 1.1k

Countries citing papers authored by Marco Ganzetti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ganzetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ganzetti

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ganzetti. A scholar is included among the top collaborators of Marco Ganzetti 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 Marco Ganzetti. Marco Ganzetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Samogin, Jessica, Mingqi Zhao, Marco Marino, et al.. (2024). Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data. Computers in Biology and Medicine. 178. 108704–108704. 2 indexed citations
2.
Elliott, Colm, Dumitru Fetco, David Araújo, et al.. (2024). Longitudinal Multiparametric Quantitative MRI Evaluation of Acute and Chronic Multiple Sclerosis Paramagnetic Rim Lesions. Journal of Magnetic Resonance Imaging. 61(4). 1812–1828. 2 indexed citations
3.
Ganzetti, Marco, Jennifer Graves, Frank Dondelinger, et al.. (2022). Neural correlates of digital measures shown by structural MRI: a post-hoc analysis of a smartphone-based remote assessment feasibility study in multiple sclerosis. Journal of Neurology. 270(3). 1624–1636. 9 indexed citations
4.
Graves, Jennifer, Marco Ganzetti, Frank Dondelinger, et al.. (2022). Preliminary validity of the Draw a Shape Test for upper extremity assessment in multiple sclerosis. Annals of Clinical and Translational Neurology. 10(2). 166–180. 10 indexed citations
5.
Montalbán, Xavier, Jennifer Graves, Luciana Midaglia, et al.. (2021). A smartphone sensor-based digital outcome assessment of multiple sclerosis. Multiple Sclerosis Journal. 28(4). 654–664. 70 indexed citations
6.
Zhao, Mingqi, et al.. (2020). RT-NET: real-time reconstruction of neural activity using high-density electroencephalography. Neuroinformatics. 19(2). 251–266. 10 indexed citations
7.
Hahn, Gerald J., Michael A. Skeide, Dante Mantini, et al.. (2019). A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development. Scientific Reports. 9(1). 8479–8479. 15 indexed citations
8.
Marino, Marco, et al.. (2019). Spatial localization of EEG electrodes using 3D scanning. Journal of Neural Engineering. 16(2). 26020–26020. 34 indexed citations
9.
Liu, Quanying, Marco Ganzetti, Nicole Wenderoth, & Dante Mantini. (2018). Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization. Frontiers in Neuroinformatics. 12. 4–4. 92 indexed citations
10.
Ganzetti, Marco, et al.. (2018). A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain. Neuroinformatics. 16(2). 167–179. 6 indexed citations
11.
Marino, Marco, et al.. (2018). Online EEG artifact removal for BCI applications by adaptive spatial filtering. Journal of Neural Engineering. 15(5). 56009–56009. 40 indexed citations
12.
Ganzetti, Marco, et al.. (2018). fMRI data processing in MRTOOL: to what extent does anatomical registration affect the reliability of functional results?. Brain Imaging and Behavior. 13(6). 1538–1553. 3 indexed citations
13.
Ganzetti, Marco, Nicole Wenderoth, & Dante Mantini. (2016). Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm Parameters. Frontiers in Neuroinformatics. 10. 10–10. 40 indexed citations
14.
Ganzetti, Marco, Nicole Wenderoth, & Dante Mantini. (2015). Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images. Neuroinformatics. 14(1). 5–21. 30 indexed citations
15.
Ganzetti, Marco, Nicole Wenderoth, & Dante Mantini. (2015). Mapping pathological changes in brain structure by combining T1- and T2-weighted MR imaging data. Neuroradiology. 57(9). 917–928. 51 indexed citations
16.
Hindriks, Rikkert, Mohit H. Adhikari, Yusuke Murayama, et al.. (2015). Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?. NeuroImage. 127. 242–256. 468 indexed citations breakdown →
17.
Ganzetti, Marco, Nicole Wenderoth, & Dante Mantini. (2014). Whole brain myelin mapping using T1- and T2-weighted MR imaging data. Frontiers in Human Neuroscience. 8. 671–671. 164 indexed citations
18.
Ganzetti, Marco & Dante Mantini. (2013). Functional connectivity and oscillatory neuronal activity in the resting human brain. Neuroscience. 240. 297–309. 45 indexed citations
19.
Castagna, Carlo, et al.. (2012). Concurrent Validity of Vertical Jump Performance Assessment Systems. The Journal of Strength and Conditioning Research. 27(3). 761–768. 108 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Daniel Güllmar Breakdown of academic impact, for papers by Giovanni Giulietti Breakdown of academic impact, for papers by Vitria Adisetiyo Breakdown of academic impact, for papers by Arnaud Le Troter Breakdown of academic impact, for papers by Anil Rao Breakdown of academic impact, for papers by Jennifer S. W. Campbell Breakdown of academic impact, for papers by Matteo Bastiani Breakdown of academic impact, for papers by Maximilian Pietsch Breakdown of academic impact, for papers by Sonya Bells Breakdown of academic impact, for papers by Kristi A. Clark
Rankless by CCL
2026