Roberto Leonarduzzi
Impact in
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- Neonatal and fetal brain pathology
Papers in
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- Complex Systems and Time Series Analysis 12
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- Fractal and DNA sequence analysis 5
- Co-authors
- Patrice Abry (14 shared papers)Marı́a E. Torres (5 shared papers)Nelly Pustelnik (4 shared papers)Muriel Doret (4 shared papers)Jiří Spilka (4 shared papers)Herwig Wendt (8 shared papers)Stéphane Jaffard (6 shared papers)Gastón Schlotthauer (3 shared papers)
In The Last Decade
Roberto Leonarduzzi
21 papers receiving 270 citations
Peers
Comparison fields: 5 of 78
- Pediatrics, Perinatology and Child Health 73
- Signal Processing 30
- Economics and Econometrics 76
- Cardiology and Cardiovascular Medicine 60
- Cognitive Neuroscience 41
Countries citing papers authored by Roberto Leonarduzzi
This map shows the geographic impact of Roberto Leonarduzzi'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 Roberto Leonarduzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Leonarduzzi more than expected).
Fields of papers citing papers by Roberto Leonarduzzi
This network shows the impact of papers produced by Roberto Leonarduzzi. 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 Roberto Leonarduzzi. The network helps show where Roberto Leonarduzzi may publish in the future.
Co-authors
The 23 scholars most cited alongside Roberto Leonarduzzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 74 | |
| 2 | 2010 | 31 | |
| 3 | 2015 | 29 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 22 | |
| 6 | 2018 | 18 | |
| 7 | 2019 | 18 | |
| 8 | 2017 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2019 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 4 | |
| 15 | Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation | 2016 | 3 |
| 16 | 2020 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2010 | 1 |
About Roberto Leonarduzzi
Roberto Leonarduzzi is a scholar working on Economics and Econometrics, Molecular Biology, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (12 papers), Image and Signal Denoising Methods (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Chaos control and synchronization (5 papers), Fractal and DNA sequence analysis (5 papers), Neonatal and fetal brain pathology (4 papers), Time Series Analysis and Forecasting (3 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (73 citations), Signal Processing (30 citations), Economics and Econometrics (76 citations), Cardiology and Cardiovascular Medicine (60 citations) and Cognitive Neuroscience (41 citations). Roberto Leonarduzzi has collaborated with scholars based in France, Argentina and Czechia. Frequent co-authors include Patrice Abry, Marı́a E. Torres, Nelly Pustelnik, Muriel Doret, Jiří Spilka, Herwig Wendt, Stéphane Jaffard, Gastón Schlotthauer, Haixia Liu and Yang Wang. Their work appears in journals such as Signal Processing, Applied and Computational Harmonic Analysis, IEEE Transactions on Signal Processing, IEEE Journal of Biomedical and Health Informatics and Speech Communication.
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.