P. Colli-Franzone
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiac Arrhythmias and Treatments
- ECG Monitoring and Analysis
- Cardiovascular Function and Risk Factors
- Mathematical Physics top 10%
- Numerical methods in inverse problems
Papers in
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- Cardiac electrophysiology and arrhythmias 7
- ECG Monitoring and Analysis 3
- Cardiac Arrhythmias and Treatments 2
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- Neuroscience and Neural Engineering 3
- Co-authors
- L. Guerri (6 shared papers)B Taccardi (5 shared papers)C. Viganotti (3 shared papers)Stefania Tentoni (1 shared paper)Luca F. Pavarino (3 shared papers)S Baruffi (1 shared paper)S Spaggiari (1 shared paper)Emilio Macchi (2 shared papers)
- Journals
- Mathematical Biosciences (4 papers)Circulation Research (1 paper)Mathematical Models and Methods in Applied Sciences (1 paper)Journal of Mathematical Biology (1 paper)Journal of Electrocardiology (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
P. Colli-Franzone
8 papers receiving 282 citations
Peers
Comparison fields: 5 of 46
- Cardiology and Cardiovascular Medicine 174
- Mathematical Physics 48
- Radiology, Nuclear Medicine and Imaging 65
- Statistical and Nonlinear Physics 26
- Biophysics 9
Countries citing papers authored by P. Colli-Franzone
This map shows the geographic impact of P. Colli-Franzone'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 P. Colli-Franzone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Colli-Franzone more than expected).
Fields of papers citing papers by P. Colli-Franzone
This network shows the impact of papers produced by P. Colli-Franzone. 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 P. Colli-Franzone. The network helps show where P. Colli-Franzone may publish in the future.
Co-authors
The 14 scholars most cited alongside P. Colli-Franzone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 112 | |
| 2 | 1982 | 69 | |
| 3 | 2003 | 26 | |
| 4 | 1983 | 23 | |
| 5 | 2005 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2011 | 14 | |
| 8 | 2000 | 8 | |
| 9 | 2003 | 0 |
About P. Colli-Franzone
P. Colli-Franzone is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Mathematical Physics and Control and Systems Engineering, having authored 9 papers that have together received 293 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Neuroscience and Neural Engineering (3 papers), ECG Monitoring and Analysis (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Protein Structure and Dynamics (1 paper), NMR spectroscopy and applications (1 paper), Statistical and numerical algorithms (1 paper) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Mathematical Physics (48 citations), Radiology, Nuclear Medicine and Imaging (65 citations), Statistical and Nonlinear Physics (26 citations) and Biophysics (9 citations). P. Colli-Franzone has collaborated with scholars based in Italy and United States. Frequent co-authors include L. Guerri, B Taccardi, C. Viganotti, Stefania Tentoni, Luca F. Pavarino, S Baruffi, S Spaggiari, Emilio Macchi, Simone Scacchi and Bonnie B. Punske. Their work appears in journals such as Mathematical Biosciences, Circulation Research, Mathematical Models and Methods in Applied Sciences, Journal of Mathematical Biology and Journal of Electrocardiology.
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.