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 Jeremy Quastel sits on this spectrum.
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 Jeremy Quastel sits on this spectrum.
The last bar groups every scientist with 86 D-Index or more.
Jeremy Quastel is a researcher affiliated with the University of Toronto in Canada, whose work primarily spans mathematics and physics. Their research output includes contributions to several fields of study such as mathematical physics, condensed matter physics, statistics and probability, finance, and statistical and nonlinear physics.
The topics covered in their publications emphasize stochastic processes and statistical mechanics, theoretical and computational physics, random matrices and applications, stochastic processes and financial applications, advanced mathematical physics problems, advanced mathematical theories, and aspects of advanced thermodynamics and statistical mechanics.
Frequent coauthors collaborating with Jeremy Quastel include Daniel Remenik, Konstantin Matetski, Li-Cheng Tsai, Tadahiro Oh, and Philippe Sosoe. These collaborations have resulted in a diverse set of research papers published in both preprint repositories and peer-reviewed journals.
Their publication record is distributed across several venues, notably:
Recent papers illustrate the focus of their research:
The nature of their research explores advanced topics in stochastic and statistical mechanics with an emphasis on growth models and exclusion processes, often relating to the KPZ universality class. Several works involve rigorous mathematical treatments of random growth phenomena and hydrodynamic limits.
Jeremy Quastel's academic contributions reflect a multidisciplinary approach bridging mathematics and physics, focusing particularly on stochastic processes both in theoretical frameworks and computational methodologies.
Gideon Amir;Ivan Corwin;Jeremy Quastel
Tom Alberts;Konstantin Khanin;Jeremy Quastel
Konstantin Matetski;Jeremy Quastel;Daniel Remenik
Jeremy Quastel
Jeremy Quastel
Jeremy Quastel;Herbert Spohn
Eric M. LaBolle;Jeremy Quastel;Graham E. Fogg;Janko Gravner
Martin Hairer;Jeremy Quastel
Eric M. LaBolle;Jeremy Quastel;Graham E. Fogg
Tom Alberts;Konstantin Khanin;Jeremy Quastel
Ivan Corwin;Jeremy Quastel;Daniel Remenik
Carl Mueller;Leonid Mytnik;Jeremy Quastel
Marton Balazs;Jeremy Quastel;Timo Seppalainen
Jeremy Quastel;Daniel Remenik
Gregorio Moreno Flores;Jeremy Quastel;Daniel Remenik;Daniel Remenik
J. Quastel;F. Rezakhanlou;S. R. S. Varadhan
Fuqing Gao;Jeremy Quastel
Tadahisa Funaki;Jeremy Quastel
Ivan Corwin;Jeremy Quastel
J. D. Quastel
If you think any of the details on this page are incorrect, let us know.
Studying Mathematics in the USA opens doors to various related degrees that can complement your skills and expand your career opportunities. For those interested in finance, several masters in finance online programs offer affordable options that integrate mathematical principles with financial theory, preparing graduates for roles in investment banking, risk management, and financial analysis.
If you're aiming to boost your leadership potential and business acumen swiftly, exploring the quickest online MBA programs is an ideal choice. These programs help math graduates transition into managerial roles by covering strategic planning, operations, and decision-making efficiently.
Marketing is another expanding field where analytical skills shine. Pursuing a marketing masters can equip students with data-driven strategies and market research expertise, enhancing their profiles for careers in digital marketing, consumer analytics, or brand management.
For professionals seeking balance between time commitment and career advancement, exploring year long MBA programs offers a streamlined approach. These intensive courses leverage mathematical reasoning and business fundamentals, accelerating your journey toward leadership roles in diverse industries.
ETH Zurich
Eastern Institute of Technology, Ningbo
Soochow University
University of Western Ontario
University of Chicago
University of Bordeaux
University of California, Irvine
University of Minnesota
University of Waterloo
Sichuan University
KU Leuven
University of Warwick
Tohoku University
Tianjin University
University of Montreal
University of Bern
