Matti Lassas
Impact in
- Mathematical Physics top 0.2%
- Numerical methods in inverse problems
-
- Metamaterials and Metasurfaces Applications
Papers in
-
- Numerical methods in inverse problems 90
- Co-authors
- Günther UhlmannYaroslav KurylevAllan GreenleafSamuli SiltanenErkki SomersaloVille KolehmainenPetri OlaJennifer L. Mueller
- Journals
- Inverse Problems (12 papers)Inverse Problems and Imaging (8 papers)SIAM Journal on Applied Mathematics (7 papers)Communications in Partial Differential Equations (5 papers)Analysis & PDE (4 papers)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Matti Lassas
135 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 91
- Mathematical Physics 1.7k
- Electronic, Optical and Magnetic Materials 1.0k
- Acoustics and Ultrasonics 46
- Computational Theory and Mathematics 780
- Applied Mathematics 435
Countries citing papers authored by Matti Lassas
This map shows the geographic impact of Matti Lassas'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 Matti Lassas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matti Lassas more than expected).
Fields of papers citing papers by Matti Lassas
This network shows the impact of papers produced by Matti Lassas. 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 Matti Lassas. The network helps show where Matti Lassas may publish in the future.
Co-authors
The 25 scholars most cited alongside Matti Lassas, 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 | 2023 | 1 | |
| 2 | 2022 | 9 | |
| 3 | 2022 | 7 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 4 | |
| 6 | Fitting a putative manifold to noisy data | 2018 | 8 |
| 7 | 2015 | 11 | |
| 8 | 2014 | 98 | |
| 9 | 2014 | 16 | |
| 10 | 2013 | 37 | |
| 11 | 2012 | 4 | |
| 12 | 2011 | 11 | |
| 13 | Cloaking vs. shielding in transformation optics | 2009 | 3 |
| 14 | 2009 | 16 | |
| 15 | Statistical X-ray tomography using empirical Besov priors | 2009 | 11 |
| 16 | 2008 | 15 | |
| 17 | 2007 | 190 | |
| 18 | Multidimensional Gel'fand inverse boundary spectral problem: uniqueness and stability | 2006 | 2 |
| 19 | 2001 | 26 | |
| 20 | 1998 | 9 |
About Matti Lassas
Matti Lassas is a scholar working on Mathematical Physics, Acoustics and Ultrasonics, Computational Theory and Mathematics, Applied Mathematics and Biomedical Engineering, having authored 143 papers that have together received 4.0k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (90 papers), Advanced Mathematical Modeling in Engineering (40 papers), Microwave Imaging and Scattering Analysis (31 papers), Medical Imaging Techniques and Applications (18 papers), Electrical and Bioimpedance Tomography (17 papers), Advanced X-ray and CT Imaging (15 papers), Metamaterials and Metasurfaces Applications (12 papers) and Composite Material Mechanics (11 papers). The work is most often cited by research in Mathematical Physics (1.7k citations), Electronic, Optical and Magnetic Materials (1.0k citations), Acoustics and Ultrasonics (46 citations), Computational Theory and Mathematics (780 citations) and Applied Mathematics (435 citations). Matti Lassas has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Günther Uhlmann, Yaroslav Kurylev, Allan Greenleaf, Samuli Siltanen, Erkki Somersalo, Ville Kolehmainen, Petri Ola, Jennifer L. Mueller, Kim Knudsen and Eero Saksman. Their work appears in journals such as Inverse Problems, Inverse Problems and Imaging, SIAM Journal on Applied Mathematics, Communications in Partial Differential Equations and Analysis & PDE.
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.