Samuli Siltanen
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 2%
- Mathematical Physics top 0.5%
- Geophysics top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Jennifer L. MuellerMatti LassasDavid IsaacsonVille KolehmainenKim KnudsenJ.C. NewellMasaru IkehataJennifer J. Mueller
- Topics
- Numerical methods in inverse problems (41 papers)Electrical and Bioimpedance Tomography (36 papers)Medical Imaging Techniques and Applications (32 papers)
- Journals
- Scientific ReportsJournal of Computational PhysicsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- FinlandUnited StatesJapan
In The Last Decade
Samuli Siltanen
97 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 107
- Electrical and Electronic Engineering 1.4k
- Biomedical Engineering 1.1k
- Mathematical Physics 1.0k
- Geophysics 612
- Radiology, Nuclear Medicine and Imaging 606
Countries citing papers authored by Samuli Siltanen
This map shows the geographic impact of Samuli Siltanen'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 Samuli Siltanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuli Siltanen more than expected).
Fields of papers citing papers by Samuli Siltanen
This network shows the impact of papers produced by Samuli Siltanen. 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 Samuli Siltanen. The network helps show where Samuli Siltanen may publish in the future.
Co-authorship network of co-authors of Samuli Siltanen
This figure shows the co-authorship network connecting the top 25 collaborators of Samuli Siltanen. A scholar is included among the top collaborators of Samuli Siltanen 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 Samuli Siltanen. Samuli Siltanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | Total variation regularization for large-scale X-ray tomography | 11 |
| 11 | 16 | |
| 12 | 6 | |
| 13 | Electrical impedance tomography imaging of larynx | 1 |
| 14 | Statistical X-ray tomography using empirical Besov priors | 11 |
| 15 | 26 | |
| 16 | 26 | |
| 17 | 115 | |
| 18 | 67 | |
| 19 | 105 | |
| 20 | 78 |
About Samuli Siltanen
Samuli Siltanen is a scholar working on Mathematical Physics, Geophysics and Radiology, Nuclear Medicine and Imaging, having authored 103 papers that have together received 2.8k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (41 papers), Electrical and Bioimpedance Tomography (36 papers) and Medical Imaging Techniques and Applications (32 papers). The work is most often cited by research in Mathematical Physics (1.0k citations), Geophysics (612 citations) and Radiology, Nuclear Medicine and Imaging (606 citations). Samuli Siltanen has collaborated with scholars based in Finland, United States and Japan. Frequent co-authors include Jennifer L. Mueller, Matti Lassas, David Isaacson, Ville Kolehmainen, Kim Knudsen, J.C. Newell, Masaru Ikehata, Jennifer J. Mueller, Aku Seppänen and Dong Liu. Their work appears in journals such as Scientific Reports, Journal of Computational Physics and IEEE Transactions on Geoscience and Remote Sensing.
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.