Matteo Migliorini
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Experimental and Cognitive Psychology
- Co-authors
- Rosalind W. PicardGiulia RegaliaAnna Maria BianchiFrancesco OnoratiDaniel FriedmanChiara CaborniRoberto MaiJonathan Bidwell
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Heart Rate Variability and Autonomic Control (8 papers)Non-Invasive Vital Sign Monitoring (7 papers)
- Partner nations
- ItalyUnited StatesFinland
In The Last Decade
Matteo Migliorini
20 papers receiving 383 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 218
- Psychiatry and Mental health 158
- Biomedical Engineering 98
- Cardiology and Cardiovascular Medicine 98
- Experimental and Cognitive Psychology 53
Countries citing papers authored by Matteo Migliorini
This map shows the geographic impact of Matteo Migliorini'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 Migliorini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Migliorini more than expected).
Fields of papers citing papers by Matteo Migliorini
This network shows the impact of papers produced by Matteo Migliorini. 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 Migliorini. The network helps show where Matteo Migliorini may publish in the future.
Co-authorship network of co-authors of Matteo Migliorini
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Migliorini. A scholar is included among the top collaborators of Matteo Migliorini 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 Migliorini. Matteo Migliorini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 158 | |
| 9 | 50 | |
| 10 | 9 | |
| 11 | 28 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | Automatic arrhythmia detection based on heart beat interval series recorded through bed sensors during sleep | 4 |
| 17 | 38 | |
| 18 | 12 | |
| 19 | Time-frequency analysis of the ballistocardiogram for sleep staging | 1 |
| 20 | Non-modulating essential hypertension: renal hemodynamic effects of long-term angiotensin converting enzyme inhibition. | 6 |
About Matteo Migliorini
Matteo Migliorini is a scholar working on General Dentistry, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 392 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Heart Rate Variability and Autonomic Control (8 papers) and Non-Invasive Vital Sign Monitoring (7 papers). The work is most often cited by research in Cognitive Neuroscience (218 citations), Psychiatry and Mental health (158 citations) and Cardiology and Cardiovascular Medicine (98 citations). Matteo Migliorini has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Rosalind W. Picard, Giulia Regalia, Anna Maria Bianchi, Francesco Onorati, Daniel Friedman, Chiara Caborni, Roberto Mai, Jonathan Bidwell, Claus Reinsberger and Andrew S. Blum. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.