Marco Ganzetti

1.8k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Functional Brain Connectivity Studies (9 papers)Advanced MRI Techniques and Applications (7 papers)Neural dynamics and brain function (6 papers)

In The Last Decade

Marco Ganzetti

19 papers receiving 1.2k citations

Hit Papers

Can sliding-window correlations reveal dynamic functional...20152026201820222015100200300400

Peers

Marco Ganzetti
Comparison fields: 5 of 93
  • Cognitive Neuroscience 776
  • Radiology, Nuclear Medicine and Imaging 412
  • Pathology and Forensic Medicine 123
  • Orthopedics and Sports Medicine 104
  • Experimental and Cognitive Psychology 102
Replace Arnaud Le Troter with:
Arnaud Le Troter France
Daniel Güllmar Germany
Matteo Bastiani United Kingdom
Sonya Bells Canada
Sudhir Pathak United States
Giovanni Giulietti Italy
Vitria Adisetiyo United States
Ann S. Choe United States
Kristi A. Clark United States
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Marco Ganzetti relative to Arnaud Le Troter France Arnaud Le Troter's profile →
Citations per field
00.5×2.9×
Arnaud Le Troter · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 2
3 10
4 9
5 70
6 10
7 15
8 34
9 40
10 6
11 92
12 3
13 40
14 30
15 51
16
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?breakdown →
468
17 164
18 45
19 108

About Marco Ganzetti

Marco Ganzetti is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Advanced MRI Techniques and Applications (7 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (776 citations), Radiology, Nuclear Medicine and Imaging (412 citations) and Orthopedics and Sports Medicine (104 citations). Marco Ganzetti has collaborated with scholars based in Switzerland, Belgium and United Kingdom. Frequent co-authors include Dante Mantini, Nicole Wenderoth, Gustavo Deco, Yusuke Murayama, Nikos K. Logothetis, Mohit H. Adhikari, Rikkert Hindriks, Quanying Liu, Vincenzo Manzi and Carlo Castagna. Their work appears in journals such as NeuroImage, Scientific Reports and Neuroscience.

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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