World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
32
Citations
3590
World Ranking
3236
National Ranking
195

Overview

Michael Scheutzow is affiliated with the Technical University of Berlin in Germany. Their research spans multiple areas within mathematics and economics, econometrics, and finance, with significant contributions to the theory and applications of stochastic processes.

Their main fields of study include:

  • Mathematics
  • Economics, Econometrics and Finance

The subfields of study explored in their publications cover:

  • Finance
  • Mathematical Physics
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Statistics and Probability

The major research topics addressed in their work include:

  • Stochastic processes and financial applications
  • Stability and Controllability of Differential Equations
  • Stochastic processes and statistical mechanics
  • Advanced Mathematical Modeling in Engineering
  • Markov Chains and Monte Carlo Methods
  • Mathematical Dynamics and Fractals
  • Fluid Dynamics and Turbulent Flows

Michael Scheutzow has published extensively in several academic venues. Frequent publication outlets for their work include:

  • arXiv (Cornell University)
  • Electronic Communications in Probability
  • The Annals of Applied Probability
  • Electronic Journal of Probability
  • Communications in Mathematical Physics

Recent papers authored or co-authored by Scheutzow comprise:

  • Propagation of chaos for stochastic spatially structured neuronal networks with delay driven by jump diffusions, 2020, The Annals of Applied Probability
  • A Dynamical Theory for Singular Stochastic Delay Differential Equations I: Linear Equations and a Multiplicative Ergodic Theorem on Fields of Banach Spaces, 2022, SIAM Journal on Applied Dynamical Systems
  • Existence of invariant probability measures for functional McKean-Vlasov SDEs, 2022, Electronic Journal of Probability
  • Couplings via Comparison Principle and Exponential Ergodicity of SPDEs in the Hypoelliptic Setting, 2020, Communications in Mathematical Physics
  • A stochastic Gronwall lemma and well-posedness of path-dependent SDEs driven by martingale noise, 2020, Latin American Journal of Probability and Mathematical Statistics

Their collaborations include frequent co-authorship with:

  • Jochen Blath
  • Marcel Ortgiese
  • Chengcheng Ling
  • Sebastian Riedel
  • Oleg Butkovsky

Michael Scheutzow has also contributed to academic literature in book form, with a publication titled "Stochastische Modelle der Versicherungsmathematik," scheduled for release in 2025 by Springer International Publishing.

Best Publications

  • Asymptotic coupling and a general form of Harris’ theorem with applications to stochastic delay equations

    Martin Hairer;Martin Hairer;Jonathan Christopher Mattingly;Michael Scheutzow

  • Constructive quantization: Approximation by empirical measures

    Steffen Dereich;Michael Scheutzow;Reik Schottstedt

  • Perfect cocycles through stochastic differential equations

    Ludwig Arnold;Michael Scheutzow

  • Stabilization and Destabilization by Noise in the Plane

    M. Scheutzow

  • Just-in-Time Scheduling for Multichannel EPONs

    M.P. McGarry;M. Reisslein;C.J. Colbourn;M. Maier

  • The Stable Manifold Theorem for Stochastic Differential Equations

    Salah-Eldin A. Mohammed;Michael K. R. Scheutzow

  • Existence and uniqueness of solutions of stochastic functional differential equations

    Max-K. von Renesse;Michael Scheutzow

  • Synchronization by noise

    Franco Flandoli;Benjamin Gess;Michael Scheutzow

  • The stable manifold theorem for non-linear stochastic systems with memory. I. Existence of the semiflow

    Salah-Eldin A. Mohammed;Michael K.R. Scheutzow

  • On the structure of attractors and invariant measures for a class of monotone random systems

    Igor Chueshov;Michael Scheutzow

  • Inertial Manifolds and Forms for Stochastically Perturbed Retarded Semilinear Parabolic Equations

    I. D. Chueshov;M. Scheutzow

  • Comparison of various concepts of a random attractor: A case study

    Michael Scheutzow

  • Qualitative behaviour of stochastic delay equations with a bounded memory

    M. Scheutzow

  • On the Link Between Small Ball Probabilities and the Quantization Problem for Gaussian Measures on Banach Spaces

    S. Dereich;F. Fehringer;A. Matoussi;M. Scheutzow

  • Some remarks and examples concerning the transience and recurrence of random diffusions

    Ross Pinsky;Michael Scheutzow

  • Lyapunov exponents of linear stochastic functional differential equations driven by semimartingales. Part I : the multiplicative ergodic theory

    Salah-Eldin A. Mohammed;Michael K. R. Scheutzow

  • Shortest propagation delay (SPD) first scheduling for EPONs with heterogeneous propagation delays

    Michael Mcgarry;Martin Reisslein;Frank Aurzada;Michael Scheutzow

  • Lyapunov exponents and stationary solutions for affine stochastic delay equations

    Salah-Eldin A. Mohammed;Michael K. R. Scheutzow

  • The stable manifold theorem for non-linear stochastic systems with memory: II. The local stable manifold theorem

    Salah-Eldin A. Mohammed;Michael K.R. Scheutzow

  • Lyapunov exponents of linear stochastic functional-differential equations. II. Examples and case studies

    Unknown

  • Asymptotic coupling and a weak form of Harris' theorem with applications to stochastic delay equations

    Martin Hairer;Jonathan C. Mattingly;Michael Scheutzow

Frequent Co-Authors

Martin Maier
Martin Maier Institut National de la Recherche Scientifique
Martin Reisslein
Martin Reisslein Arizona State University
Igor Chueshov
Igor Chueshov V. N. Karazin Kharkiv National University
Franco Flandoli
Franco Flandoli Scuola Normale Superiore di Pisa
Jonathan C. Mattingly
Jonathan C. Mattingly Duke University
Martin Hairer
Martin Hairer Imperial College London
Krzysztof Burdzy
Krzysztof Burdzy University of Washington
Peter Imkeller
Peter Imkeller Humboldt-Universität zu Berlin
Adam Wolisz
Adam Wolisz Technical University of Berlin
Chadi Assi
Chadi Assi Concordia University

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