Lassi Païvärinta
- Mathematical Physics top 0.5%
- Biomedical Engineering top 5%
- Computational Theory and Mathematics top 1%
- Electrical and Electronic Engineering top 10%
- Mechanics of Materials top 5%
- Co-authors
- Kari AstalaDavid ColtonErkki SomersaloJohn SylvesterPetri OlaTimo HakulinenAndreas KirschMatti Lassas
- Topics
- Numerical methods in inverse problems (40 papers)Microwave Imaging and Scattering Analysis (19 papers)Advanced Mathematical Modeling in Engineering (17 papers)
- Partner nations
- FinlandUnited StatesRussia
In The Last Decade
Lassi Païvärinta
53 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Mathematical Physics 1.4k
- Biomedical Engineering 648
- Computational Theory and Mathematics 540
- Electrical and Electronic Engineering 391
- Mechanics of Materials 381
Countries citing papers authored by Lassi Païvärinta
This map shows the geographic impact of Lassi Païvärinta'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 Lassi Païvärinta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lassi Païvärinta more than expected).
Fields of papers citing papers by Lassi Païvärinta
This network shows the impact of papers produced by Lassi Païvärinta. 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 Lassi Païvärinta. The network helps show where Lassi Païvärinta may publish in the future.
Co-authorship network of co-authors of Lassi Païvärinta
This figure shows the co-authorship network connecting the top 25 collaborators of Lassi Païvärinta. A scholar is included among the top collaborators of Lassi Païvärinta 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 Lassi Païvärinta. Lassi Païvärinta 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 | 1 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 27 | |
| 6 | 18 | |
| 7 | 36 | |
| 8 | A boundary integral equation for Calderón's inverse conductivity problem | 20 |
| 9 | 6 | |
| 10 | 23 | |
| 11 | 10 | |
| 12 | 28 | |
| 13 | 34 | |
| 14 | 48 | |
| 15 | 20 | |
| 16 | Inverse Problems in Mathematical Physics: Proceedings of the Lapland Conference on Inverse Problems Held at Saariselka, Finland, 14-20 June 1992 | 1 |
| 17 | Testing equality of relative survival patterns based on aggregated data. | 60 |
| 18 | 7 | |
| 19 | 32 | |
| 20 | 5 |
About Lassi Païvärinta
Lassi Païvärinta is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (40 papers), Microwave Imaging and Scattering Analysis (19 papers) and Advanced Mathematical Modeling in Engineering (17 papers). The work is most often cited by research in Mathematical Physics (1.4k citations), Computational Theory and Mathematics (540 citations) and Applied Mathematics (269 citations). Lassi Païvärinta has collaborated with scholars based in Finland, United States and Russia. Frequent co-authors include Kari Astala, David Colton, Erkki Somersalo, John Sylvester, Petri Ola, Timo Hakulinen, Andreas Kirsch, Matti Lassas, Khosrow Chadan and William Rundell. Their work appears in journals such as Journal of Computational Physics, Biometrics and Statistics 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.