Mikhail Khovanov is affiliated with Columbia University in the United States and has contributed extensively to the field of mathematics. Their research broadly spans multiple subfields, including Geometry and Topology, Mathematical Physics, Algebra and Number Theory, Computational Theory and Mathematics, and Discrete Mathematics and Combinatorics.
Their main areas of study reflect these subfields, with notable focus on subjects such as Homotopy and Cohomology in Algebraic Topology, Algebraic structures and combinatorial models, Geometric and Algebraic Topology, Advanced Topics in Algebra, Advanced Combinatorial Mathematics, semigroups and automata theory, and Topological and Geometric Data Analysis.
Khovanov's publication record includes a variety of papers appearing in both specialized and broad mathematical venues. Frequent venues for their work include arXiv (Cornell University), Contemporary mathematics - American Mathematical Society, Fundamenta Mathematicae, Letters in Mathematical Physics, and Journal of Pure and Applied Algebra.
Selected papers by Mikhail Khovanov include:
Collaboration has been an important aspect of Khovanov's scientific work. Frequent coauthors include Mee Seong Im, Louis-Hadrien Robert, Victor Ostrik, Radmila Sazdanović, and Paul Gustafson, reflecting a network of partnerships across related research topics.
Mikhail Khovanov
Mikhail Khovanov;Aaron D. Lauda
Mikhail Khovanov;Lev Rozansky
Mikhail Khovanov;Paul Seidel
Mikhail Khovanov
Mikhail Khovanov;Lev Rozansky
Mikhail Khovanov;Aaron D. Lauda
Mikhail Khovanov
Igor B. Frenkel;Mikhail G. Khovanov
Mikhail Khovanov
Mikhail Khovanov
Mikhail Khovanov;Aaron D. Lauda
Mikhail Khovanov
Joseph Bernstein;Igor Frenkel;Mikhail Khovanov
Mikhail Khovanov
Ruth Stella Huerfano;Mikhail Khovanov
Mikhail Khovanov
Ben Elias;Mikhail Khovanov
Mikhail Khovanov
Igor Frenkel;Mikhail Khovanov;Catharina Stroppel
If you think any of the details on this page are incorrect, let us know.
For students pursuing Mathematics in the USA, exploring related online degrees can broaden career opportunities. One popular option is combining math skills with business acumen through an online MBA programs that accept transfer credits. This pathway allows students to leverage previous coursework and accelerate their education, blending analytical reasoning with management expertise.
Data-driven roles are increasingly in demand, making a data analytics master's degree a natural extension for math graduates. Such programs highlight statistical modeling and computational skills essential for careers in finance, technology, and healthcare.
For working professionals seeking flexibility, identifying easiest MBA specialization options can streamline admission processes and help balance study with other commitments. Combined with online convenience, this approach supports steady career progression.
Moreover, choosing from the easiest and fastest online MBA programs helps students complete their education promptly without compromising quality, ideal for those eager to enter leadership roles quickly.
Overall, aligning Mathematics studies with these complementary online degrees offers diverse career pathways and equips graduates with versatile skills for the evolving job market.
University of New South Wales
KU Leuven
National University of Singapore
University of Maryland, Baltimore
James Cook University
Autonomous University of Madrid
University of Pavia
Federal Reserve System
University of Edinburgh
Institute Curie
University of Michigan–Ann Arbor
University of Paris-Saclay
National Institutes of Health
The University of Texas MD Anderson Cancer Center
Grail (United States)
University of Clermont Auvergne