Roberto Leonarduzzi

25 papers receiving 325 citations

Peers

Roberto Leonarduzzi
Comparison fields: 5 of 76
  • Pediatrics, Perinatology and Child Health 85
  • Cardiology and Cardiovascular Medicine 69
  • Economics and Econometrics 88
  • Signal Processing 34
  • Statistical and Nonlinear Physics 32
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Jan Gierałtowski Poland
Alexandra Piryatinska United States
О. Н. Павлова Russia
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Ewa Orłowska‐Baranowska Poland
P. Lemmerling Belgium
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Citations per year

Countries citing papers authored by Roberto Leonarduzzi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Roberto Leonarduzzi Line = papers co-authored together Roberto Leonarduzzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201682
2 201037
3 201534
4 201828
5 201822
6 201919
7 201819
8 201711
9 201611
10 20149
11 20189
12 20156
13 20156
14 20155
15 20195
16 20244
17 20154
18
Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation
20163
19 20183
20 20203

About Roberto Leonarduzzi

Roberto Leonarduzzi is a scholar working on Economics and Econometrics, Molecular Biology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 330 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (14 papers), Image and Signal Denoising Methods (6 papers), Heart Rate Variability and Autonomic Control (6 papers), Neonatal and fetal brain pathology (6 papers), Fractal and DNA sequence analysis (5 papers), Chaos control and synchronization (5 papers), Time Series Analysis and Forecasting (3 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (85 citations), Cardiology and Cardiovascular Medicine (69 citations), Economics and Econometrics (88 citations), Signal Processing (34 citations) and Statistical and Nonlinear Physics (32 citations). Roberto Leonarduzzi has collaborated with scholars based in France, Argentina and Czechia. Frequent co-authors include Patrice Abry, Muriel Doret, Jiří Spilka, Marı́a E. Torres, Herwig Wendt, Nelly Pustelnik, Stéphane Jaffard, Gastón Schlotthauer, Haixia Liu and Yang Wang. Their work appears in journals such as Applied and Computational Harmonic Analysis, Signal Processing, IEEE Transactions on Signal Processing, Speech Communication and Methods of Information in Medicine.

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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