What is he best known for?
The fields of study he is best known for:
- Geometry
- Mathematical analysis
- Combinatorics
Richard Kenyon mainly investigates Combinatorics, Mathematical analysis, Planar graph, Geometry and Laplacian matrix.
His biological study spans a wide range of topics, including Arrangement of lines and Theoretical physics.
His Boundary value problem, Harnack's inequality, Amoeba and Lipschitz continuity study, which is part of a larger body of work in Mathematical analysis, is frequently linked to De Rham curve, bridging the gap between disciplines.
His work in Planar graph tackles topics such as Spanning tree which are related to areas like Harmonic function, Dirac operator, Logarithm and Lattice.
His work carried out in the field of Geometry brings together such families of science as Vertex and Hamiltonian.
The various areas that Richard Kenyon examines in his Laplacian matrix study include Heterogeneous random walk in one dimension, Loop-erased random walk and Generalization.
His most cited work include:
- Dimers and amoebae (401 citations)
- A variational principle for domino tilings (297 citations)
- Limit shapes and the complex Burgers equation (214 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Combinatorics, Discrete mathematics, Planar graph, Spanning tree and Bipartite graph.
Richard Kenyon interconnects Matrix and Plane in the investigation of issues within Combinatorics.
His work deals with themes such as Arrangement of lines, Square tiling and Hausdorff dimension, which intersect with Discrete mathematics.
His Planar graph study incorporates themes from Bijection, Harmonic function, Conformal symmetry and Surface.
Richard Kenyon combines subjects such as Laplacian matrix, Laplace operator, Vertex, Loop-erased random walk and Minimum spanning tree with his study of Spanning tree.
His study looks at the intersection of Bipartite graph and topics like Torus with Characteristic polynomial.
He most often published in these fields:
- Combinatorics (72.18%)
- Discrete mathematics (23.31%)
- Planar graph (20.30%)
What were the highlights of his more recent work (between 2014-2021)?
- Combinatorics (72.18%)
- Phase transition (7.52%)
- Graph (8.27%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Combinatorics, Phase transition, Graph, Planar graph and Random graph.
His Combinatorics research incorporates themes from Discrete mathematics and Probability measure.
His primary area of study in Discrete mathematics is in the field of Bipartite graph.
His research in Phase transition intersects with topics in Phase space, Statistical physics, Exponential function, Entropy and Scaling.
In general Graph study, his work on Chromatic polynomial often relates to the realm of Rational mapping, thereby connecting several areas of interest.
His Spanning tree research integrates issues from Green's function, Inverse, Square lattice, Loop-erased random walk and Laplace operator.
Between 2014 and 2021, his most popular works were:
- Bipolar orientations on planar maps and SLE 12 (37 citations)
- Multipodal Structure and Phase Transitions in Large Constrained Graphs (33 citations)
- Double-dimers, the Ising model and the hexahedron recurrence (32 citations)
In his most recent research, the most cited papers focused on:
- Geometry
- Mathematical analysis
- Combinatorics
Richard Kenyon mainly focuses on Combinatorics, Phase transition, Vertex model, Schramm–Loewner evolution and Phase space.
His Combinatorics study frequently intersects with other fields, such as Scaling.
Richard Kenyon works mostly in the field of Scaling, limiting it down to topics relating to Spanning tree and, in certain cases, Scaling limit.
His Vertex model research incorporates elements of Analytic function, Mathematical analysis, Monotone polygon, Parameterized complexity and Grid.
His research integrates issues of Statistical mechanics, Mathematical physics, Peano axioms, Invariant and Square in his study of Schramm–Loewner evolution.
His work in Phase space addresses issues such as Classification of discontinuities, which are connected to fields such as Random graph.
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.
