Lorenzo Botti
- Computational Mechanics top 1%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Neurology top 10%
- Co-authors
- Luca AntigaAndrea RemuzziMarina PiccinelliBogdan Ene‐IordacheDavid A. SteinmanA. ColomboF. BassiDaniele A. Di Pietro
- Topics
- Advanced Numerical Methods in Computational Mathematics (23 papers)Computational Fluid Dynamics and Aerodynamics (16 papers)Model Reduction and Neural Networks (6 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringAmerican Journal of Physiology-Renal Physiology
- Partner nations
- ItalyFranceNetherlands
In The Last Decade
Lorenzo Botti
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computational Mechanics 717
- Pulmonary and Respiratory Medicine 348
- Cardiology and Cardiovascular Medicine 281
- Surgery 220
- Neurology 167
Countries citing papers authored by Lorenzo Botti
This map shows the geographic impact of Lorenzo Botti'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 Lorenzo Botti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Botti more than expected).
Fields of papers citing papers by Lorenzo Botti
This network shows the impact of papers produced by Lorenzo Botti. 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 Lorenzo Botti. The network helps show where Lorenzo Botti may publish in the future.
Co-authorship network of co-authors of Lorenzo Botti
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Botti. A scholar is included among the top collaborators of Lorenzo Botti 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 Lorenzo Botti. Lorenzo Botti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 18 | |
| 6 | 5 | |
| 7 | 31 | |
| 8 | 26 | |
| 9 | 17 | |
| 10 | 19 | |
| 11 | 17 | |
| 12 | 70 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 29 | |
| 16 | 24 | |
| 17 | 9 | |
| 18 | 176 | |
| 19 | 49 | |
| 20 | An image-based modeling framework for patient-specific computational hemodynamicsbreakdown → | 633 |
About Lorenzo Botti
Lorenzo Botti is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Nephrology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (23 papers), Computational Fluid Dynamics and Aerodynamics (16 papers) and Model Reduction and Neural Networks (6 papers). The work is most often cited by research in Computational Mechanics (717 citations), Numerical Analysis (104 citations) and Computer Graphics and Computer-Aided Design (47 citations). Lorenzo Botti has collaborated with scholars based in Italy, France and Netherlands. Frequent co-authors include Luca Antiga, Andrea Remuzzi, Marina Piccinelli, Bogdan Ene‐Iordache, David A. Steinman, A. Colombo, F. Bassi, Daniele A. Di Pietro, A. Ghidoni and Jérôme Droniou. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and American Journal of Physiology-Renal Physiology.
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.