Daniele Lamponi
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- Cardiovascular Health and Disease Prevention 4
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics 2
- Applied Mathematics top 10%
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- Financial Markets and Investment Strategies 4
- Financial Risk and Volatility Modeling 2
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- Elasticity and Material Modeling 2
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- Coronary Interventions and Diagnostics 2
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- Stock Market Forecasting Methods 2
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- Advanced Mathematical Modeling in Engineering 2
- Co-authors
- Luca FormaggiaAlfio QuarteroniAlessandro VenezianiMassimiliano TuveriJosip TambačaAndro MikelićSunčica ČanićBrajesh Kumar
- Cited by
- Cardiology and Cardiovascular MedicineComputational MechanicsFluid Flow and Transfer Processes
- Journals
- The Journal of Portfolio Management (1 paper)Computing (1 paper)Multiscale Modeling and Simulation (1 paper)
- Partner nations
- SwitzerlandItalyCzechia
In The Last Decade
Daniele Lamponi
8 papers receiving 540 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 303
- Computational Mechanics 169
- Fluid Flow and Transfer Processes 41
- Applied Mathematics 52
- Numerical Analysis 24
Countries citing papers authored by Daniele Lamponi
This map shows the geographic impact of Daniele Lamponi'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 Daniele Lamponi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Lamponi more than expected).
Fields of papers citing papers by Daniele Lamponi
This network shows the impact of papers produced by Daniele Lamponi. 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 Daniele Lamponi. The network helps show where Daniele Lamponi may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Daniele Lamponi, 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 | 2015 | 4 | |
| 2 | 2014 | 8 | |
| 3 | 2014 | 0 | |
| 4 | 2013 | 0 | |
| 5 | 2006 | 157 | |
| 6 | 2005 | 44 | |
| 7 | 2004 | 5 | |
| 8 | Numerical simulation of the arterial pulse propagation using one-dimensional models | 2003 | 7 |
| 9 | 2003 | 6 | |
| 10 | 2003 | 338 |
About Daniele Lamponi
Daniele Lamponi is a scholar working on Finance, Cardiology and Cardiovascular Medicine and Management Science and Operations Research, having authored 10 papers that have together received 569 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Elasticity and Material Modeling (2 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Financial Risk and Volatility Modeling (2 papers), Coronary Interventions and Diagnostics (2 papers), Stock Market Forecasting Methods (2 papers) and Advanced Mathematical Modeling in Engineering (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (303 citations), Computational Mechanics (169 citations) and Fluid Flow and Transfer Processes (41 citations). Daniele Lamponi has collaborated with scholars based in Switzerland, Italy and Czechia. Frequent co-authors include Luca Formaggia, Alfio Quarteroni, Alessandro Veneziani, Massimiliano Tuveri, Josip Tambača, Andro Mikelić, Sunčica Čanić, Brajesh Kumar, Kim H. Parker and V. Franke. Their work appears in journals such as The Journal of Portfolio Management, Computing and Multiscale Modeling and Simulation.
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.