World's Best Scientists 2026 revealed!
Matthias A. Müller

Matthias A. Müller

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
5654
World Ranking
8379
National Ranking
282

Matthias A. Müller publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Matthias A. Müller sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 270 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Matthias A. Müller D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Matthias A. Müller sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Matthias A. Müller is affiliated with the University of Stuttgart in Germany. Their research spans several fields, primarily within computer science and engineering, with significant contributions in subfields such as computer vision and pattern recognition, artificial intelligence, materials chemistry, control and systems engineering, and automotive engineering.

Their recent publications demonstrate a focus on topics related to robotics, autonomous systems, and crystallography. Key topics covered in their work include crystallization and solubility studies, X-ray diffraction in crystallography, reinforcement learning in robotics, robotic path planning algorithms, autonomous vehicle technology and safety, robotic mechanisms and dynamics, and robot manipulation and learning.

Notable recent papers by Matthias A. Müller include:

  • Champion-level drone racing using deep reinforcement learning, 2023, Nature
  • How to Swoop and Grasp Like a Bird With a Passive Claw for a High-Speed Grasping, 2022, IEEE/ASME Transactions on Mechatronics
  • Learning high-speed flight in the wild, 2021, Zurich Open Repository and Archive (University of Zurich)
  • LDM3D: Latent Diffusion Model for 3D, 2023, arXiv (Cornell University)
  • Training Graph Neural Networks with 1000 Layers, 2021, arXiv (Cornell University)

Frequent coauthors collaborating with Matthias A. Müller include Vladlen Koltun, Magnus R. Buchner, Elia Kaufmann, Antonio Loquercio, and Davide Scaramuzza. These collaborations are reflected across multiple jointly published papers.

Their work has appeared in various publication venues, with multiple papers in arXiv (Cornell University), The Cambridge Structural Database, Nature, IEEE/ASME Transactions on Mechatronics, and the Zurich Open Repository and Archive (University of Zurich).

Best Publications

  • DeepGCNs: Can GCNs Go As Deep As CNNs?

    Guohao Li;Matthias Muller;Ali Thabet;Bernard Ghanem

  • TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

    Matthias Müller;Adel Bibi;Silvio Giancola;Salman Alsubaihi

  • Data-Driven Model Predictive Control With Stability and Robustness Guarantees

    Julian Berberich;Johannes Kohler;Matthias A. Muller;Frank Allgower

  • Finite element method — the natural approach

    J.H. Argyris;H. Balmer;J.St. Doltsinis;P.C. Dunne

  • Learning high-speed flight in the wild.

    Antonio Loquercio;Elia Kaufmann;René Ranftl;Matthias Müller

  • Input/output-to-state stability and state-norm estimators for switched nonlinear systems

    Matthias A. MüLler;Daniel Liberzon

  • A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems

    Johannes Kohler;Raffaele Soloperto;Matthias A. Muller;Frank Allgower

  • Driving Policy Transfer via Modularity and Abstraction.

    Matthias Müller;Alexey Dosovitskiy;Bernard Ghanem;Vladlen Koltun

  • End-to-end Driving via Conditional Imitation Learning

    Felipe Codevilla;Matthias Müller;Antonio López;Vladlen Koltun

  • SGAS: Sequential Greedy Architecture Search

    Guohao Li;Guocheng Qian;Itzel C. Delgadillo;Matthias Muller

  • Cooperative control of dynamically decoupled systems via distributed model predictive control

    Matthias A. Müller;Marcus Reble;Frank Allgöwer

  • Linear tracking MPC for nonlinear systems Part II: The data-driven case.

    Julian Berberich;Johannes Köhler;Matthias A. Müller;Frank Allgöwer

  • On the relation between strict dissipativity and turnpike properties

    Lars Grüne;Matthias Albrecht Müller

  • On Necessity and Robustness of Dissipativity in Economic Model Predictive Control

    Matthias A. Muller;David Angeli;Frank Allgower

  • Economic Nonlinear Model Predictive Control

    Timm Faulwasser;Lars Grüne;Matthias A. Müller

  • Effects of biquadratic exchange on the spectrum of elementary excitations in spin ladders

    S. Brehmer;H.-J. Mikeska;M. Müller;N. Nagaosa

  • Transgenic rat hearts overexpressing SERCA2a show improved contractility under baseline conditions and pressure overload.

    Oliver J. Müller;Mathias Lange;Henning Rattunde;Hans Peter Lorenzen

  • Economic model predictive control without terminal constraints: Optimal periodic operation

    Matthias A. Muller;Lars Grune

  • Nonlinear Reference Tracking: An Economic Model Predictive Control Perspective

    Johannes Kohler;Matthias A. Muller;Frank Allgower

  • Economic model predictive control with self-tuning terminal cost ☆

    Matthias Albrecht Müller;David Angeli;David Angeli;Frank Allgöwer

  • Deep Drone Acrobatics

    Elia Kaufmann;Antonio Loquercio;René Ranftl;Matthias Müller

  • A Nonlinear Model Predictive Control Framework Using Reference Generic Terminal Ingredients

    Johannes Kohler;Matthias A. Muller;Frank Allgower

  • Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications

    Matthias Müller;Vincent Casser;Jean Lahoud;Neil Smith

  • Tube-based robust economic model predictive control

    Florian A. Bayer;Matthias A. Müller;Frank Allgöwer

  • Model predictive control of switched nonlinear systems under average dwell-time ☆ ☆☆

    Matthias A. Müller;Pascal Martius;Frank Allgöwer

  • Economic Nonlinear Model Predictive Control

    Unknown

  • Nonlinear moving horizon estimation in the presence of bounded disturbances

    Matthias Albrecht Müller

  • Brief paper: Improving performance in model predictive control: Switching cost functionals under average dwell-time

    Matthias A. Müller;Frank Allgöwer

  • Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty

    Raffaele Soloperto;Matthias A. Müller;Sebastian Trimpe;Frank Allgöwer

  • Non-smooth Newton Methods for Deformable Multi-body Dynamics

    Miles Macklin;Kenny Erleben;Matthias Müller;Nuttapong Chentanez

Frequent Co-Authors

Frank Allgöwer
Frank Allgöwer University of Stuttgart
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
David Angeli
David Angeli Imperial College London
Vladlen Koltun
Vladlen Koltun Apple (United States)
Lars Grüne
Lars Grüne University of Bayreuth
Daniel Liberzon
Daniel Liberzon University of Illinois at Urbana-Champaign
Rene Ranftl
Rene Ranftl Intel (United States)
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Hans J. Herrmann
Hans J. Herrmann ESPCI Paris
Malcolm L. H. Green
Malcolm L. H. Green University of Oxford

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