Matteo Milanesi
- Cognitive Neuroscience top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging
- Experimental and Cognitive Psychology
- Co-authors
- Luigi LandiniNicola VanelloNicola MartiniDanilo MenicucciRemo BediniAngelo GemignaniAlessandro PingitoreLaura Sebastiani
- Topics
- Cardiac Imaging and Diagnostics (5 papers)Advanced MRI Techniques and Applications (5 papers)EEG and Brain-Computer Interfaces (4 papers)
- Journals
- PLoS ONENeuroImageMedical Physics
- Partner nations
- ItalyUnited KingdomNetherlands
In The Last Decade
Matteo Milanesi
14 papers receiving 308 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 111
- Epidemiology 93
- Cardiology and Cardiovascular Medicine 60
- Radiology, Nuclear Medicine and Imaging 49
- Experimental and Cognitive Psychology 47
Countries citing papers authored by Matteo Milanesi
This map shows the geographic impact of Matteo Milanesi'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 Milanesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Milanesi more than expected).
Fields of papers citing papers by Matteo Milanesi
This network shows the impact of papers produced by Matteo Milanesi. 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 Milanesi. The network helps show where Matteo Milanesi may publish in the future.
Co-authorship network of co-authors of Matteo Milanesi
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Milanesi. A scholar is included among the top collaborators of Matteo Milanesi 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 Milanesi. Matteo Milanesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 87 | |
| 3 | 10 | |
| 4 | 20 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 119 | |
| 8 | 0 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | [Magnetic resonance imaging for the evaluation of patients undergoing cardiac resynchronization therapy. Advantages, limitations and perspectives]. | 4 |
| 13 | Evaluation of a Pitch Estimation Algorithm for Speech Emotion Recognition | 7 |
| 14 | 4 | |
| 15 | An automatic method for separation and identification of biomedical signals from convolutive mixtures by independent component analysis in the frequency domain | 2 |
About Matteo Milanesi
Matteo Milanesi is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 313 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Advanced MRI Techniques and Applications (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cognitive Neuroscience (111 citations), Hepatology (32 citations) and Experimental and Cognitive Psychology (47 citations). Matteo Milanesi has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Luigi Landini, Nicola Vanello, Nicola Martini, Danilo Menicucci, Remo Bedini, Angelo Gemignani, Alessandro Pingitore, Laura Sebastiani, Rajarshi Banerjee and Amy H. Herlihy. Their work appears in journals such as PLoS ONE, NeuroImage and Medical Physics.
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.