World's Best Scientists 2026 revealed!
Sebastian Reich

Sebastian Reich

D-Index & Metrics

Mathematics

D-Index
48
Citations
10901
World Ranking
1197
National Ranking
65

Sebastian Reich publication distribution in Mathematics in 2026

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 Sebastian Reich sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 209 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Sebastian Reich D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Sebastian Reich sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 48 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2019 - SIAM Fellow For incisive contributions to the field of computational differential equations, and applications in molecular dynamics and data assimilation.

Overview

Sebastian Reich is affiliated with the University of Potsdam in Germany. Their primary field of study centers on Computer Science, encompassing a broad range of subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Global and Planetary Change, Statistics and Probability, and Computer Vision and Pattern Recognition.

The scientist's research covers several main topics such as Gaussian Processes and Bayesian Inference, Markov Chains and Monte Carlo Methods, Meteorological Phenomena and Simulations, Model Reduction and Neural Networks, Reservoir Engineering and Simulation Methods, Target Tracking and Data Fusion in Sensor Networks, and Climate variability and models.

Recent publications by Sebastian Reich include:

  • Sequential Data Assimilation of the Stochastic SEIR Epidemic Model for Regional COVID-19 Dynamics, 2020, Bulletin of Mathematical Biology
  • Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation, 2021, Physica D Nonlinear Phenomena
  • Interacting Particle Solutions of Fokker-Planck Equations Through Gradient-Log-Density Estimation, 2020, Entropy
  • Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations, 2021, Chaos An Interdisciplinary Journal of Nonlinear Science
  • Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning, 2023, Chaos An Interdisciplinary Journal of Nonlinear Science

Frequent co-authors they have collaborated with include:

  • Ralf Engbert
  • Manfred Opper
  • Maximilian M. Rabe
  • Georg A. Gottwald
  • Lisa Schwetlick

Publication venues where Sebastian Reich has frequently contributed consist of:

  • arXiv (Cornell University)
  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SIAM Journal on Numerical Analysis
  • Trends in Cognitive Sciences

In recognition of their work in computational differential equations and applications in molecular dynamics and data assimilation, Sebastian Reich was awarded the title of SIAM Fellow in 2019.

Best Publications

  • Simulating Hamiltonian Dynamics

    Benedict J Leimkuhler;Sebastian Reich

  • Multi-symplectic integrators: numerical schemes for Hamiltonian PDEs that conserve symplecticity

    Thomas J. Bridges;Sebastian Reich

  • Multi-Symplectic Runge—Kutta Collocation Methods for Hamiltonian Wave Equations

    Sebastian Reich

  • Probabilistic forecasting and Bayesian data assimilation

    Sebastian Reich;Colin Cotter

  • Backward Error Analysis for Numerical Integrators

    Sebastian Reich

  • Computational Molecular Dynamics: Challenges, Methods, Ideas

    Peter Deuflhard;Jan Hermans;Benedict Leimkuhler;Alan E. Mark

  • Stabilization of Constrained Mechanical Systems with DAEs and Invariant Manifolds

    Uri M. Ascher;Hongsheng Chin;Linda R. Petzold;Sebastian Reich

  • Particle filters for high-dimensional geoscience applications: A review

    Peter Jan van Leeuwen;Peter Jan van Leeuwen;Hans R Künsch;Lars Nerger;Roland Potthast

  • Numerical methods for Hamiltonian PDEs

    Thomas J Bridges;Sebastian Reich

  • Stabilization of DAEs and invariant manifolds

    Uri M. Ascher;Hongsheng Chin;Sebastian Reich

  • A NONPARAMETRIC ENSEMBLE TRANSFORM METHOD FOR BAYESIAN INFERENCE

    Sebastian Reich

  • Integration Methods for Molecular Dynamics

    Benedict J. Leimkuhler;Sebastian Reich;Robert D. Skeel

  • Backward error analysis for multi-symplectic integration methods

    Brian Moore;Sebastian Reich

  • Multi-symplectic spectral discretizations for the Zakharov–Kuznetsov and shallow water equations

    Thomas J. Bridges;Sebastian Reich

  • A dynamical systems framework for intermittent data assimilation

    Sebastian Reich

  • On a geometrical interpretation of differential-algebraic equations

    Sebastian Reich

  • On an existence and uniqueness theory for nonlinear differential-algebraic equations

    Sebastian Reich

  • Sequential Data Assimilation of the Stochastic SEIR Epidemic Model for Regional COVID-19 Dynamics.

    Ralf Engbert;Maximilian M. Rabe;Reinhold Kliegl;Sebastian Reich

  • Symplectic integration of constrained Hamiltonian systems

    B. Leimkuhler;S. Reich

  • A mollified ensemble Kalman filter

    Kay Bergemann;Sebastian Reich

  • A non-parametric ensemble transform method for Bayesian inference

    Sebastian Reich

Frequent Co-Authors

Benedict Leimkuhler
Benedict Leimkuhler University of Edinburgh
Thomas J. Bridges
Thomas J. Bridges University of Surrey
Jens Wickert
Jens Wickert Technical University of Berlin
Manfred Opper
Manfred Opper Technical University of Berlin
Robert D. Skeel
Robert D. Skeel Purdue University West Lafayette
Uri M. Ascher
Uri M. Ascher University of British Columbia
Volker Grewe
Volker Grewe German Aerospace Center
Theodore G. Shepherd
Theodore G. Shepherd University of Reading
Ulrich Cubasch
Ulrich Cubasch Freie Universität Berlin
Eugenia Kalnay
Eugenia Kalnay University of Maryland, College Park

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