Toni Lassila
- Cardiology and Cardiovascular Medicine top 10%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Alfio QuarteroniGianluigi RozzaSimone RossiRicardo Ruíz-BaierAlejandro F. FrangiAndrea ManzoniAdélia SequeiraMatthias Lange
- Topics
- Cerebrovascular and Carotid Artery Diseases (8 papers)Model Reduction and Neural Networks (8 papers)Advanced Numerical Methods in Computational Mathematics (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputational Mechanics
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
Toni Lassila
33 papers receiving 795 citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 259
- Computational Mechanics 249
- Statistical and Nonlinear Physics 200
- Biomedical Engineering 166
- Statistics, Probability and Uncertainty 106
Countries citing papers authored by Toni Lassila
This map shows the geographic impact of Toni Lassila'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 Toni Lassila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toni Lassila more than expected).
Fields of papers citing papers by Toni Lassila
This network shows the impact of papers produced by Toni Lassila. 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 Toni Lassila. The network helps show where Toni Lassila may publish in the future.
Co-authorship network of co-authors of Toni Lassila
This figure shows the co-authorship network connecting the top 25 collaborators of Toni Lassila. A scholar is included among the top collaborators of Toni Lassila 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 Toni Lassila. Toni Lassila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 48 | |
| 8 | 9 | |
| 9 | 29 | |
| 10 | 27 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 49 | |
| 14 | 11 | |
| 15 | 24 | |
| 16 | 5 | |
| 17 | 22 | |
| 18 | 95 | |
| 19 | 4 | |
| 20 | Model Reduction of Steady Fluid-Structure Interaction Problems with Free-Foem Deformations and Reduced Basis Methods | 1 |
About Toni Lassila
Toni Lassila is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 828 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (8 papers), Model Reduction and Neural Networks (8 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (200 citations), Statistics, Probability and Uncertainty (106 citations) and Computational Mechanics (249 citations). Toni Lassila has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Alfio Quarteroni, Gianluigi Rozza, Simone Rossi, Ricardo Ruíz-Baier, Alejandro F. Frangi, Andrea Manzoni, Adélia Sequeira, Matthias Lange, Stefano Pagani and Micaela Mitolo. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Computational Physics.
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.