Uriel Frisch is affiliated with the Observatoire de la Côte d'Azur in France. Their research spans multiple disciplines with a primary focus on Physics and Astronomy as well as Engineering. The subfields of study where their work has been concentrated include Statistical and Nonlinear Physics, Computational Mechanics, Astronomy and Astrophysics, Economics and Econometrics, and Applied Mathematics.
The scientist's main topics of work cover a range of areas related to fluid dynamics, nonlinear phenomena, and complex systems. These include Fluid Dynamics and Turbulent Flows, Quantum Chaos and Dynamical Systems, Nonlinear Waves and Solitons, Complex Systems and Time Series Analysis, Galaxies: Formation, Evolution, Phenomena, Cosmology and Gravitation Theories, and Scientific Research and Discoveries.
Their recent publications illustrate this diversity and depth. Notable papers include:
Uriel Frisch frequently collaborates with other researchers. Regular coauthors include Cornelius Rampf, Oliver Hahn, Takeshi Matsumoto, D. Roy, and Konstantin Khanin. These collaborations have contributed to various aspects of their publications and research output.
The scientist's work has appeared in several publication venues, reflecting the interdisciplinary nature of their research. These venues include arXiv (Cornell University), Monthly Notices of the Royal Astronomical Society Letters, Physical Review Fluids, Journal of Computational Physics, and Journal of Fluid Mechanics.
U. Frisch;B. Hasslacher;Y. Pomeau
Uriel Frisch
Uriel Frisch;Pierre-Louis Sulem;Mark Nelkin
Uriel Frisch;Dominique d'Humières;Brosl Hasslacher;Pierre Lallemand
A. Pouquet;U. Frisch;J. Léorat
Marc E. Brachet;Daniel I. Meiron;Steven A. Orszag;B. G. Nickel
Micheal F. Shlesinger;George M. Zaslavsky;Uriel Frisch
T. Dombre;U. Frisch;J. M. Greene;M. Hénon
U. Frisch
D. d'Humières;P. Lallemand;U. Frisch
Uriel Frisch;Rudolf Morf
M. Vergassola;B. Dubrulle;U. Frisch;A. Noullez
Françoise Argoul;A. Arneodo;G. Grasseau;Y. Gagne
A. Brissaud;U. Frisch
R. Z. Sagdeev;D. A. Usikov;G. M. Zaslavsky;Yves Pomeau
A. Noullez;G. Wallace;W. Lempert;R. B. Miles
U. Frisch;Z. S. She;P. L. Sulem
A. Brissaud;U. Frisch
R.C. Bourret;U. Frisch;A. Pouquet
Uriel Frisch;Steven A. Orszag
Zhen-Su She;Erik Aurell;Uriel Frisch
D. Galloway;U. Frisch
If you think any of the details on this page are incorrect, let us know.
For those interested in expanding their expertise beyond Mathematics, several related online degrees offer valuable career pathways. For instance, business professionals often explore 1 year mba programs to quickly enhance their leadership and management skills without lengthy commitments.
Many online MBA programs accommodate prior learning, making options like online mba transfer credits important for students who want to integrate previous coursework and accelerate their degree completion.
Mathematics graduates often find a natural transition into the growing field of data science. Pursuing a data analytics master’s degree equips students with skills to analyze big data and make data-driven decisions, a highly sought-after expertise across industries.
For those seeking more accessible options, understanding the easiest mba programs can help prospective students identify suitable pathways that balance quality and admission flexibility. These programs offer a practical route for career advancement without intense admission hurdles.
Uppsala University
Claremont Graduate University
Cleveland Clinic
University of Edinburgh
Babasaheb Bhimrao Ambedkar University
Vanderbilt University
United States Geological Survey
London School of Hygiene & Tropical Medicine
Université de Sherbrooke
University of Technology Sydney
University of Colorado Boulder
Oregon State University
Anhui University of Traditional Chinese Medicine
University of Illinois at Chicago
Yale University
Fudan University