What is he best known for?
The fields of study he is best known for:
- 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.
His most cited work include:
- 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)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Mathematical analysis (54.84%)
- Inverse problem (39.35%)
- Boundary (34.84%)
What were the highlights of his more recent work (between 2017-2021)?
- Inverse problem (39.35%)
- Mathematical analysis (54.84%)
- Boundary (34.84%)
In recent papers he was focusing on the following fields of study:
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.
Between 2017 and 2021, his most popular works were:
- 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)
In his most recent research, the most cited papers focused on:
- 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.
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