World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
48
Citations
11594
World Ranking
1195
National Ranking
64

Christof Schütte 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 Christof Schütte 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: 225 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Christof Schütte 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 Christof Schütte 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.

Overview

Christof Schütte is affiliated with Freie Universität Berlin in Germany. Their research spans multiple interdisciplinary fields, including Artificial Intelligence, General Health Professions, Control and Systems Engineering, Mathematical Physics, and Condensed Matter Physics.

Their work covers various topics such as Gaussian Processes and Bayesian Inference, Fault Detection and Control Systems, Anomaly Detection Techniques and Applications, Stochastic Processes and Statistical Mechanics, Theoretical and Computational Physics, Complex Network Analysis Techniques, and COVID-19 epidemiological studies.

Schütte has contributed to a number of scientific publications across diverse venues. Recent papers include:

  • Prediction of Covid-19 spreading and optimal coordination of counter-measures: From microscopic to macroscopic models to Pareto fronts, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Neural parameter calibration and uncertainty quantification for epidemic forecasting, 2024, PLoS ONE
  • Approximating Particle-Based Clustering Dynamics by Stochastic PDEs, 2025, SIAM Journal on Applied Dynamical Systems
  • Solving eigenvalue PDEs of metastable diffusion processes using artificial neural networks, 2021, arXiv (Cornell University)
  • Investigating Endogenous Opioids Unravels the Mechanisms Behind Opioid-Induced Constipation, a Mathematical Modeling Approach, 2025, International Journal of Molecular Sciences

Frequently collaborating with other researchers, Schütte has worked most notably with Tim Conrad, Grigorios A. Pavliotis, and Stefanie Winkelmann, each appearing as a coauthor on multiple occasions. Other collaborators include Thomas Gaskin and Nathalie Wehlitz.

Their publications have appeared repeatedly in respected scientific venues such as PLoS ONE, SIAM Journal on Applied Dynamical Systems, bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), and the International Journal of Molecular Sciences.

Best Publications

  • Markov models of molecular kinetics: Generation and validation

    Jan-Hendrik Prinz;Hao Wu;Marco Sarich;Bettina Keller

  • Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations

    Frank Noé;Christof Schütte;Eric Vanden-Eijnden;Lothar Reich

  • Transition Path Theory for Markov Jump Processes

    Philipp Metzner;Christof Schütte;Eric Vanden-Eijnden

  • A Direct Approach to Conformational Dynamics Based on Hybrid Monte Carlo

    Ch Schütte;A Fischer;W Huisinga;P Deuflhard

  • Hierarchical analysis of conformational dynamics in biomolecules: Transition networks of metastable states

    Frank Noé;Illia Horenko;Christof Schütte;Jeremy C. Smith

  • Identification of almost invariant aggregates in reversible nearly uncoupled Markov chains

    Peter Deuflhard;Wilhelm Huisinga;Alexander Fischer;Christof Schütte

  • On the numerical approximation of the Perron-Frobenius and Koopman operator

    Stefan Klus;Péter Koltai;Christof Schütte

  • Data-driven model reduction and transfer operator approximation

    Stefan Klus;Feliks Nüske;Péter Koltai;Hao Wu

  • Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

    Stefan Klus;Feliks Nüske;Feliks Nüske;Sebastian Peitz;Jan-Hendrik Niemann

  • Markov State Models Based on Milestoning

    Christof Schütte;Frank Noé;Jianfeng Lu;Marco Sarich

  • ON THE APPROXIMATION QUALITY OF MARKOV STATE MODELS

    Marco Sarich;Frank Noé;Christof Schütte

  • Illustration of transition path theory on a collection of simple examples.

    Philipp Metzner;Christof Schütte;Eric Vanden-Eijnden

  • EMMA: A Software Package for Markov Model Building and Analysis

    Martin Senne;Benjamin Trendelkamp-Schroer;Antonia S.J.S. Mey;Christof Schütte

  • Quantum-classical Liouville approach to molecular dynamics: Surface hopping Gaussian phase-space packets

    Illia Horenko;Christian Salzmann;Burkhard Schmidt;Christof Schütte

  • Quantum‐classical molecular dynamics as an approximation to full quantum dynamics

    Folkmar A. Bornemann;Peter Nettesheim;Christof Schütte

  • Conformational Dynamics: Modelling, Theory, Algorithm, and Application to Biomolecules

    Christof Schütte

  • Metastability and Markov State Models in Molecular Dynamics: Modeling, Analysis, Algorithmic Approaches

    Christof Schütte;Marco Sarich

  • Phase transitions and metastability in Markovian and molecular systems

    Wilhelm Huisinga;Sean Meyn;Christof Schütte

  • Transfer Operator Approach to Conformational Dynamics in Biomolecular Systems

    Christof Schütte;Wilhelm Huisinga;Peter Deuflhard

  • Grand-Canonical-like Molecular-Dynamics Simulations by Using an Adaptive-Resolution Technique

    Han Wang;Carsten Hartmann;Christof Schütte;Luigi Delle Site

  • Biomolecular Conformations can be Identified as Metastable Sets of Molecular Dynamics

    Christof Schütte;Wilhelm Huisinga

Frequent Co-Authors

Peter Deuflhard
Peter Deuflhard Zuse Institute Berlin
Eric Vanden-Eijnden
Eric Vanden-Eijnden Courant Institute of Mathematical Sciences
Michael Dellnitz
Michael Dellnitz University of Paderborn
Kai Nagel
Kai Nagel Technical University of Berlin
Petra Knaus
Petra Knaus Freie Universität Berlin
Roland Marquet
Roland Marquet University of Strasbourg
Ralf Einspanier
Ralf Einspanier Freie Universität Berlin
Robert W. Shafer
Robert W. Shafer Stanford University
Thomas C. Merigan
Thomas C. Merigan Stanford University
Rainer Haag
Rainer Haag Freie Universität Berlin

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