LabCompass

Michael S. Jolly

Engineering · Indiana University

OpenAlex ORCID
Established · publishing since 1988
Stability and Controllability of Differential EquationsFluid Dynamics and Turbulent FlowsNavier-Stokes equation solutionsNonlinear Dynamics and Pattern FormationMeteorological Phenomena and Simulations

Publications

103

Citations

1,948

Est. group size

—

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Michael S. Jolly studies the mathematics of fluid motion, focusing on the equations (such as the Navier-Stokes equations) that describe how fluids flow and become turbulent. His work analyzes the long-term behavior and stability of these equations and develops methods for 'data assimilation'—techniques for combining observations with mathematical models to reconstruct and predict fluid states. Much of the research is theoretical and computational, aimed at understanding turbulence and improving approximation methods.

Navier-Stokes equations and fluid dynamicsTurbulence and energy spectraData assimilation methodsStability and long-term behavior of differential equationsNumerical/Galerkin approximation methods

Publication activity has been relatively steady but modest over the last five years, averaging under three papers per year with some year-to-year variation.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

Funding
Public award records

No award with a current end date on record.

10 earlier awards
  • NSF 1818754Jul 2018 – Jun 2022 · $150k awarded

    A Computational Study of the Nudging Approach to Data Assimilation

  • NSF 1418911Aug 2014 – Jul 2018 · $175k awarded

    Collaborative Research: Determining Forms and Data Assimilation with Stochastic Data

  • NSF 1109638Sep 2011 – Aug 2015 · $116k awarded

    Collaborative Proposal: Study of turbulence in physical systems through complex singularities and determining modes

  • NSF 1008861Jul 2010 – Jun 2014 · $22k awarded

    Collaborative Research: Analysis of incompressible high Reynolds number flows

  • NSF 0511533Jun 2005 – May 2010 · $284k awarded

    A study of how indicators for 2-D turbulence depend on the driving force in the Navier-Stokes equation

  • NSF 0139874Aug 2002 – Jul 2006 · $155k awarded

    FRG Collaborative Research: Approximation of Lyapunov exponents

  • NSF 0074460Sep 2000 – Aug 2004 · $191k awarded

    Approximation of the Global Attractors of Evolution Equations

  • NSF 9706903Aug 1997 – Jul 2001 · $174k awarded

    Approximation of the Global Attractors of Evolution Equations

  • NSF 9404340Aug 1994 – Jul 1997 · $141k awarded

    Mathematical Sciences: Approximation of the Global Attractors of Evolution Equations

  • NSF 9007802Jun 1990 – Nov 1993 · $95k awarded

    Mathematical Sciences: Approximation of the Global Attractors of Evolution Equations

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 1,507 established Engineering PIs within our index
Citations: 1,948cohort median 1,834
h-index: 24cohort median 21
Publications / year (recent): 2.8cohort median 4.2

Typically publishes in teams of ~3 · 67% small-team papers (≤3 authors) · across 21 venues

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
2017: 8 publications8172018: 4 publications182019: 5 publications192020: 2 publications202021: 6 publications212022: 4 publications222023: 3 publications232024: 4 publications24252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×13
  • Nonlinearity×3
  • Nonlinear Analysis Real World Applications×2
  • Advanced Nonlinear Studies×2
  • Physica D Nonlinear Phenomena×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 27, 2026.

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