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- Mikko Salo

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
36
Citations
4,679
123
World Ranking
1811
National Ranking
12

- Mathematical analysis
- Geometry
- Quantum mechanics

His primary areas of investigation include Mathematical analysis, Inverse problem, Geodesic, Boundary and Pattern recognition. His research on Mathematical analysis frequently links to adjacent areas such as Symmetric tensor. His Inverse problem research is multidisciplinary, incorporating perspectives in Riemannian manifold, Manifold, Eikonal equation and Euclidean geometry.

The study incorporates disciplines such as Injective function, Integral geometry, Pure mathematics and Solenoidal vector field in addition to Geodesic. His Boundary research focuses on Conformal map and how it connects with Fourier transform, Transversal and Metric. He combines subjects such as Histogram, Artificial intelligence and Computer vision with his study of Pattern recognition.

- Identifiability at the boundary for first-order terms (528 citations)
- Segmenting salient objects from images and videos (439 citations)
- Limiting Carleman weights and anisotropic inverse problems (220 citations)

Mikko Salo spends much of his time researching Mathematical analysis, Inverse problem, Boundary, Uniqueness and Geodesic. His Inverse research extends to the thematically linked field of Mathematical analysis. Mikko Salo has included themes like Dimension, Pure mathematics, Applied mathematics, Euclidean geometry and Domain in his Inverse problem study.

His work investigates the relationship between Boundary and topics such as Magnetic field that intersect with problems in Operator and Schrödinger's cat. Mikko Salo interconnects Disjoint sets, Euclidean space and Dimension in the investigation of issues within Uniqueness. His Geodesic study also includes fields such as

- Convex function, which have a strong connection to Curvature,
- Solenoidal vector field and related Tensor.

- Mathematical analysis (54.84%)
- Inverse problem (39.35%)
- Boundary (34.84%)

- Inverse problem (39.35%)
- Mathematical analysis (54.84%)
- Boundary (34.84%)

His primary areas of study are Inverse problem, Mathematical analysis, Boundary, Applied mathematics and Uniqueness. His Inverse problem study integrates concerns from other disciplines, such as Calculus and Schrödinger equation. Mikko Salo studies Inverse scattering problem, a branch of Mathematical analysis.

His biological study spans a wide range of topics, including Inverse, Manifold, Geodesic and Boundary value problem. His Geodesic research integrates issues from Tensor field and Convex function. His research in Uniqueness intersects with topics in Disjoint sets, Helmholtz equation and Monotonic function.

- The fractional Calderón problem: Low regularity and stability (50 citations)
- Uniqueness and reconstruction for the fractional Calderón problem with a single measurement (42 citations)
- The Calderón problem for the fractional Schrödinger equation (38 citations)

- Mathematical analysis
- Geometry
- Quantum mechanics

The scientist’s investigation covers issues in Applied mathematics, Inverse problem, Uniqueness, Mathematical analysis and Monotonic function. His Applied mathematics research includes themes of Class, Heat equation, Instability and Exponential function. His study focuses on the intersection of Inverse problem and fields such as Schrödinger equation with connections in the field of Domain.

His study in Uniqueness is interdisciplinary in nature, drawing from both Disjoint sets and Bounded function. His research integrates issues of Boundary, Convex hull and Nonlinear system in his study of Mathematical analysis. His Boundary study combines topics in areas such as Riemannian manifold, Connection, Geodesic, X-ray transform and Convex function.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Identifiability at the boundary for first-order terms

Russell M. Brown;Mikko Salo.

Applicable Analysis **(2006)**

605 Citations

Segmenting salient objects from images and videos

Esa Rahtu;Juho Kannala;Mikko Salo;Janne Heikkilä.

european conference on computer vision **(2010)**

605 Citations

Limiting Carleman weights and anisotropic inverse problems

David Dos Santos Ferreira;Carlos E. Kenig;Mikko Salo;Gunther Uhlmann.

Inventiones Mathematicae **(2009)**

236 Citations

Affine invariant pattern recognition using multiscale autoconvolution

E. Rahtu;M. Salo;J. Heikkila.

IEEE Transactions on Pattern Analysis and Machine Intelligence **(2005)**

140 Citations

The Calderón problem for the fractional Schrödinger equation

Tuhin Ghosh;Mikko Salo;Gunther Uhlmann.

Analysis & PDE **(2020)**

106 Citations

The Calderón problem in transversally anisotropic geometries

David Dos Santos Ferreira;Yaroslav Kurylev;Matti Lassas;Mikko Salo.

Journal of the European Mathematical Society **(2016)**

100 Citations

The Calderón problem with partial data on manifolds and applications

Carlos E. Kenig;Mikko Salo.

Analysis & PDE **(2013)**

99 Citations

Tensor tomography on surfaces

Gabriel P. Paternain;Mikko Salo;Gunther Uhlmann;Gunther Uhlmann.

Inventiones Mathematicae **(2013)**

99 Citations

The attenuated ray transform on simple surfaces

Mikko Salo;Gunther Uhlmann.

Journal of Differential Geometry **(2011)**

93 Citations

A new convexity measure based on a probabilistic interpretation of images

E. Rahtu;M. Salo;J. Heikkila.

IEEE Transactions on Pattern Analysis and Machine Intelligence **(2006)**

92 Citations

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