What is he best known for?
The fields of study he is best known for:
- Combinatorics
- Mathematical analysis
- Geometry
The scientist’s investigation covers issues in Combinatorics, Discrete mathematics, Metric space, Distortion and Metric.
His Combinatorics study integrates concerns from other disciplines, such as Geometry and Semidefinite programming.
His Discrete mathematics study incorporates themes from Function, Upper and lower bounds, Fourier analysis and Chromatic scale.
His Metric space research also works with subjects such as
- Banach space which intersects with area such as Algebra,
- Dimension and related Planar graph.
His research in Distortion focuses on subjects like Embedding, which are connected to Probability measure.
His studies deal with areas such as Ramsey's theorem, Fixed point, Cartesian product and Hilbert space as well as Metric.
His most cited work include:
- Rigorous location of phase transitions in hard optimization problems (208 citations)
- Approximating the Cut-Norm via Grothendieck's Inequality (201 citations)
- The two possible values of the chromatic number of a random graph (153 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Combinatorics, Discrete mathematics, Metric space, Distortion and Banach space.
The concepts of his Combinatorics study are interwoven with issues in Embedding, Upper and lower bounds and Hilbert space.
His Discrete mathematics research incorporates themes from Lipschitz continuity and Constant.
His Metric space research is multidisciplinary, relying on both Ramsey's theorem and Distribution.
The various areas that Assaf Naor examines in his Distortion study include Quotient, Dimension, Metric and Euclidean space.
His Banach space research includes elements of Type, Unit sphere and Normed vector space.
He most often published in these fields:
- Combinatorics (67.51%)
- Discrete mathematics (42.19%)
- Metric space (28.27%)
What were the highlights of his more recent work (between 2014-2021)?
- Combinatorics (67.51%)
- Banach space (21.94%)
- Discrete mathematics (42.19%)
In recent papers he was focusing on the following fields of study:
Assaf Naor focuses on Combinatorics, Banach space, Discrete mathematics, Metric space and Normed vector space.
Assaf Naor combines subjects such as Upper and lower bounds and Distortion with his study of Combinatorics.
His research in Distortion intersects with topics in Word metric and Metric.
His studies in Banach space integrate themes in fields like Matrix norm, Linear subspace, Lipschitz continuity and Trace class.
His research investigates the connection between Discrete mathematics and topics such as Singular value that intersect with problems in Invertible matrix, Operator norm, Rank and Inverse.
His Metric space study combines topics in areas such as Embedding, Standard basis, Curvature and Hypercube.
Between 2014 and 2021, his most popular works were:
- Vertical perimeter versus horizontal perimeter (24 citations)
- Expanders with respect to Hadamard spaces and random graphs (23 citations)
- Metric dimension reduction: A snapshot of the Ribe program (18 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Combinatorics
- Real number
His main research concerns Combinatorics, Metric space, Banach space, Discrete mathematics and Normed vector space.
Assaf Naor has researched Combinatorics in several fields, including Ball, Distortion and Perimeter.
His work carried out in the field of Ball brings together such families of science as Heisenberg group, Word metric, Lipschitz continuity and Conjecture.
His Metric space study incorporates themes from Embedding and Norm.
As a part of the same scientific study, he usually deals with the Banach space, concentrating on Curvature and frequently concerns with Geometric group theory, Upper and lower bounds, Probability measure and Bounded function.
His Discrete mathematics research incorporates elements of Singular value, Inequality, Invertible matrix and Metric.
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.
