The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Ivan Corwin sits on this spectrum.
This scientist: 115 publications — 18th percentile
18% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Ivan Corwin sits on this spectrum.
This scientist: 46 D-Index — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Ivan Corwin is a researcher primarily affiliated with Columbia University in the United States. Their work is concentrated in the field of Mathematics, with a significant focus on the subfields of Statistics and Probability, Mathematical Physics, and Condensed Matter Physics. Additional areas of study include Discrete Mathematics and Combinatorics, as well as Artificial Intelligence.
The main topics addressed in their research encompass stochastic processes and statistical mechanics, random matrices and their applications, theoretical and computational physics, Markov chains and Monte Carlo methods, advanced combinatorial mathematics, Bayesian methods and mixture models, and point processes alongside geometric inequalities.
Corwin has published extensively, with frequent appearances in venues such as arXiv (Cornell University), Electronic Journal of Probability, Communications in Mathematical Physics, Probability Theory and Related Fields, and Open Collections.
Recent scholarly papers authored or co-authored by Ivan Corwin include:
Frequent collaborators in Corwin's research include Guillaume Barraquand, Evgeni Dimitrov, Milind Hegde, Jacob B. Hass, and Eric I. Corwin.
These collaborations have resulted in joint publications exploring areas related to the KPZ equation, polymers, and Gibbsian line ensembles, among other topics. Some notable papers connected to such collaborations are:
Ivan Zachary Corwin
Gideon Amir;Ivan Corwin;Jeremy Quastel
Unknown
Alexei Borodin;Ivan Corwin;Tomohiro Sasamoto
Ivan Corwin;Alan Hammond
Alexei Borodin;Ivan Corwin;Patrik Ferrari
Ivan Corwin;Ivan Corwin;Ivan Corwin;Leonid Petrov
Ivan Corwin;Neil O’Connell;Timo Seppäläinen;Nikolaos Zygouras
Alexei Borodin;Ivan Corwin;Vadim Gorin
Alexei Borodin;Ivan Corwin;Patrik Ferrari;Bálint Vető
Alexei Borodin;Ivan Corwin;Daniel Remenik;Daniel Remenik
Guillaume Barraquand;Guillaume Barraquand;Ivan Corwin;Ivan Corwin;Ivan Corwin
Gérard Ben Arous;Ivan Corwin
Ivan Corwin;Ivan Corwin;Ivan Corwin;Alan Hammond
Ivan Corwin;Jeremy Quastel;Daniel Remenik
Ivan Corwin;Hao Shen
Guillaume Barraquand;Alexei Borodin;Ivan Corwin;Michael Wheeler
Alexei Borodin;Ivan Corwin;Leonid Petrov;Tomohiro Sasamoto
Ivan Corwin;Promit Ghosal
Ivan Corwin;Ivan Corwin;Ivan Corwin;Li Cheng Tsai
Ivan Corwin
Alexei Borodin;Ivan Corwin;Leonid Petrov;Leonid Petrov;Tomohiro Sasamoto
Guillaume Barraquand;Alexei Borodin;Ivan Corwin;Michael Wheeler
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For students pursuing Mathematics in the USA, exploring related online degrees can broaden career opportunities and enhance skillsets. Many students complement their math background with business-focused programs, such as an online marketing degree, which combines analytical skills with market strategies. This multidisciplinary approach prepares graduates for roles in data-driven marketing and consumer analytics.
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For those seeking flexibility, MBA programs that accept transfer credits provide an efficient way to build on existing coursework without redundant study. This option is ideal for students who want to integrate technical math knowledge with business acumen.
Moreover, specialized fields like data science are accessible through programs like the MS in data analytics. This degree emphasizes statistical analysis and computational techniques, directly leveraging a mathematics foundation to excel in emerging tech-driven roles.
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