Matteo Fraschini

1.8k total citations
65 papers, 1.2k citations indexed

About

Matteo Fraschini is a scholar working on Cognitive Neuroscience, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matteo Fraschini has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 8 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matteo Fraschini's work include EEG and Brain-Computer Interfaces (21 papers), Functional Brain Connectivity Studies (20 papers) and Neural dynamics and brain function (15 papers). Matteo Fraschini is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Functional Brain Connectivity Studies (20 papers) and Neural dynamics and brain function (15 papers). Matteo Fraschini collaborates with scholars based in Italy, Netherlands and United States. Matteo Fraschini's co-authors include Matteo Demuru, Arjan Hillebrand, Francesco Marrosu, Luca Didaci, Gian Luca Marcialis, Cornelis J. Stam, Michael A. Wirth, Jennifer A. Lyon, Monica Puligheddu and Gavino Faa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Matteo Fraschini

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Fraschini Italy 20 805 171 122 97 94 65 1.2k
Shreya Bhat India 12 736 0.9× 75 0.4× 65 0.5× 78 0.8× 150 1.6× 21 1.3k
Ruobing Qian China 19 801 1.0× 89 0.5× 150 1.2× 27 0.3× 91 1.0× 63 1.1k
Borbála Hunyadi Belgium 17 717 0.9× 137 0.8× 38 0.3× 41 0.4× 116 1.2× 60 1.1k
Katrien Jansen Belgium 26 982 1.2× 213 1.2× 103 0.8× 111 1.1× 72 0.8× 117 1.9k
Francisco Sales Portugal 16 714 0.9× 198 1.2× 53 0.4× 89 0.9× 48 0.5× 65 1.1k
Ewan S. Nurse Australia 23 1.2k 1.5× 288 1.7× 76 0.6× 171 1.8× 33 0.4× 65 1.5k
Jane Maryam Rondina United Kingdom 13 716 0.9× 112 0.7× 127 1.0× 112 1.2× 333 3.5× 22 1.2k
Xiangguo Yan China 16 615 0.8× 98 0.6× 72 0.6× 20 0.2× 76 0.8× 34 816

Countries citing papers authored by Matteo Fraschini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Fraschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Fraschini

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

All Works

20 of 20 papers shown
1.
Iavarone, Federica, Chiara Tirone, Alessandra Olianas, et al.. (2025). Characterization of N‐Terminal Acetylated α‐Hemoglobin Stabilizing Protein (AHSP) by Top‐Down High‐Resolution Mass Spectrometry From Human Preterm Newborns Oral Fluid. Rapid Communications in Mass Spectrometry. 39(21). e10107–e10107. 1 indexed citations
2.
Beeldman, Emma, Matteo Fraschini, Alessandra Griffa, et al.. (2025). Longitudinal changes in MEG-based brain network topology of ALS patients with cognitive/behavioral impairment—An exploratory study. Network Neuroscience. 9(3). 824–841. 1 indexed citations
3.
Faa, Gavino, Pina Ziranu, Matteo Fraschini, et al.. (2025). Generative intelligence in precision oncology: Priorities in informatics engineering, pathology and oncology. 5(3). 130–130.
4.
Faa, Gavino, Giuseppina Pichiri, Pierpaolo Coni, et al.. (2025). They will be famous: Multipotent stem cells in breast milk. World Journal of Clinical Pediatrics. 14(2). 101080–101080.
5.
Faa, Gavino, Riccardo Cau, Alberto Ravarino, et al.. (2024). Lessons from autopsy: Topographical variability of atherosclerosis plaques. Journal of public health research. 13(2). 1214350715–1214350715. 3 indexed citations
6.
Faa, Gavino, Massimo Castagnola, Luca Didaci, et al.. (2024). The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools. Algorithms. 17(6). 254–254. 4 indexed citations
7.
Didaci, Luca, et al.. (2024). How Time Window Influences Biometrics Performance: An EEG-Based Fingerprint Connectivity Study. SHILAP Revista de lepidopterología. 5(3). 597–604.
8.
9.
Spanu, Andrea, et al.. (2023). Wearable System Based on Ultra-Thin Parylene C Tattoo Electrodes for EEG Recording. Sensors. 23(2). 766–766. 19 indexed citations
10.
Saba, Luca, et al.. (2022). Clinical applications of EEG power spectra aperiodic component analysis: A mini-review. Clinical Neurophysiology. 143. 1–13. 31 indexed citations
11.
Fraschini, Matteo, et al.. (2020). Exploring the Correlation Between M/EEG Source–Space and fMRI Networks at Rest. Brain Topography. 33(2). 151–160. 25 indexed citations
12.
Fraschini, Matteo, et al.. (2019). Robustness of functional connectivity metrics for EEG-based personal identification over task-induced intra-class and inter-class variations. Pattern Recognition Letters. 125. 49–54. 43 indexed citations
13.
Fraschini, Matteo, et al.. (2016). Morphological changes in the kidney of fetuses with Down syndrome. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Demuru, Matteo, Eelco van Duinkerken, Matteo Fraschini, et al.. (2014). Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients. NeuroImage Clinical. 5. 69–76. 18 indexed citations
15.
Fraschini, Matteo, Matteo Demuru, Monica Puligheddu, et al.. (2014). The re-organization of functional brain networks in pharmaco-resistant epileptic patients who respond to VNS. Neuroscience Letters. 580. 153–157. 43 indexed citations
16.
17.
Wirth, Michael A., et al.. (2004). The effect of mammogram databases on algorithm performance. 15–20. 9 indexed citations
18.
Wirth, Michael A., Matteo Fraschini, & Jennifer A. Lyon. (2004). Contrast enhancement of microcalcifications in mammograms using morphological enhancement and non-flat structuring elements. UNICA IRIS Institutional Research Information System (University of Cagliari). 134–139. 24 indexed citations
19.
Wirth, Michael A., Matteo Fraschini, & Jennifer A. Lyon. (2004). Contrast enhancement of microcalcifications in mammograms using morphological enhancement and non-flat structuring elements. 134–139. 39 indexed citations
20.
Casanova, Andrea, et al.. (2002). Hierarchical Entropy Approach for Image and Signals Retrieval.. UNICA IRIS Institutional Research Information System (University of Cagliari). 177–181.

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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