World's Best Scientists 2026 revealed!
Tristan Rivière

Tristan Rivière

D-Index & Metrics

Mathematics

D-Index
36
Citations
5118
World Ranking
2657
National Ranking
45

Overview

Tristan Rivière is affiliated with ETH Zurich in Switzerland and actively contributes to the field of mathematics. Their research primarily spans several areas within mathematics, particularly applied mathematics, geometry and topology, and mathematical physics.

The scientist's publication record counts over 100 works in mathematics, with a focus on geometric analysis, curvature flows, complex manifolds, and nonlinear partial differential equations. Important subfields of their study include applied mathematics, geometry and topology, mathematical physics, statistical and nonlinear physics, and astronomy and astrophysics.

Tristan Rivière's main research topics include:

  • Geometric Analysis and Curvature Flows
  • Geometry and complex manifolds
  • Nonlinear Partial Differential Equations
  • Geometric and Algebraic Topology
  • Advanced Mathematical Modeling in Engineering
  • Advanced Differential Geometry Research
  • Advanced Mathematical Physics Problems

Their work is published frequently in outlets such as arXiv (Cornell University), the Journal of the Institute of Mathematics of Jussieu, Communications on Pure and Applied Mathematics, the Journal of Functional Analysis, and the Duke Mathematical Journal. These venues reflect a consistent engagement with high-level mathematical discourse.

Among notable recent papers authored or co-authored by Tristan Rivière are:

  • "Willmore minmax surfaces and the cost of the sphere eversion", 2020, Journal of the European Mathematical Society
  • "Almost monotonicity formula for H-minimal Legendrian surfaces in the Heisenberg group", 2023, Communications on Pure and Applied Mathematics

Other relevant papers connected to their research circle include:

  • "The Classification of Branched Willmore Spheres in the 3-Sphere and the 4-Sphere", 2022, Annales Scientifiques de l École Normale Supérieure
  • "A proof of the multiplicity 1 conjecture for min-max minimal surfaces in arbitrary codimension", 2020, Duke Mathematical Journal
  • "Pointwise Expansion of Degenerating Immersions of Finite Total Curvature", 2022, Journal of Geometric Analysis

Tristan Rivière collaborates regularly with several researchers. Frequent co-authors include Francesca Da Lio, Bruno Klingler, Nicolás Lerner, Denis Auroux, and Nantel Bergeron, each contributing multiple joint works.

Best Publications

  • Conservation laws for conformally invariant variational problems

    Tristan Rivière

  • Analysis aspects of Willmore surfaces

    Tristan Rivière

  • Everywhere discontinuous harmonic maps into spheres

    Tristan Rivière

  • Linear and Nonlinear Aspects of Vortices: The Ginzburg-andau Model

    Frank Pacard;Tristan Rivière

  • Partial Regularity for Harmonic Maps and Related Problems

    Tristan Rivière;Michael Struwe

  • Three-term commutator estimates and the regularity of $\half$-harmonic maps into spheres

    Da Lio Francesca;Tristan Rivière

  • Vortices for a variational problem related to superconductivity

    Fabrice Bethuel;Tristan Rivière

  • Linear and Nonlinear Aspects of Vortices

    Frank Pacard;Tristan Rivière

  • Complex Ginzburg-Landau equations in high dimensions and codimension two area minimizing currents

    Fanghua Lin;Tristan Rivière

  • Quantization effects for −Δu = u(1 − |u|2) in ℝ2

    Haïm Brezis;Frank Merle;Tristan Rivière

  • Sub-criticality of non-local Schrödinger systems with antisymmetric potentials and applications to half-harmonic maps

    Francesca Da Lio;Francesca Da Lio;Tristan Rivière

  • Variational Principles for immersed Surfaces with L 2 -bounded Second Fundamental Form.

    Tristan Rivière

  • A quantization property for static Ginzburg-Landau vortices

    Fang-Hua Lin;Tristan Rivire

  • Limiting domain wall energy for a problem related to micromagnetics

    Tristan Rivière;Sylvia Serfaty

  • Line vortices in the U(1) Higgs model

    Tristan Riviere

  • Compactness, kinetic formulation, and entropies for a problem related to micromagnetics

    Tristan Rivière;Sylvia Serfaty

  • Conservation Laws for Fourth Order Systems in Four Dimensions

    Tobias Lamm;Tristan Riviere

  • Weak density of smooth maps for the Dirichlet energy between manifolds

    M.R.. Pakzad;T. Rivière

  • Energy quantization for harmonic maps

    Fang-Hua Lin;Tristan Rivière

  • Néel and Cross-Tie Wall Energies for Planar Micromagnetic Configurations

    François Alouges;Tristan Rivière;Sylvia Serfaty

  • Connecting topological Hopf singularities

    Robert Hardt;Tristan Rivière

Frequent Co-Authors

Frank Pacard
Frank Pacard École Polytechnique
Fanghua Lin
Fanghua Lin Courant Institute of Mathematical Sciences
Gang Tian
Gang Tian Peking University
Luigi Ambrosio
Luigi Ambrosio National Research Council (CNR)
Sylvia Serfaty
Sylvia Serfaty Courant Institute of Mathematical Sciences
Camillo De Lellis
Camillo De Lellis Institute for Advanced Study
Michael Struwe
Michael Struwe ETH Zurich
Haim Brezis
Haim Brezis Rutgers, The State University of New Jersey
Frank Merle
Frank Merle CY Cergy Paris University
Robert Hardt
Robert Hardt Rice University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Mathematics, exploring related online degrees can open up diverse career opportunities. One popular option is pursuing an online marketing degree, which integrates analytical and quantitative skills with business strategies. This degree is ideal for those who want to combine mathematical proficiency with marketing expertise.

Another fast-track option is enrolling in one year MBA programs. These programs appeal to professionals seeking to enhance leadership and management skills without a lengthy time commitment. Additionally, many MBA programs offer flexibility by allowing students to transfer credits into an MBA program, making it easier to build on prior coursework and reduce study time.

For those drawn to data-driven decision-making, pursuing a master's in data analytics is a smart choice. The best masters in data analytics programs equip students with skills to analyze complex datasets, a vital asset in various industries from finance to healthcare. These related degrees complement a strong foundation in mathematics, broadening career pathways and enhancing job prospects.

Best Scientists Citing Tristan Rivière

Trending Scientists