World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
43
Citations
10943
World Ranking
1682
National Ranking
53

Daniel J. Rixen publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Daniel J. Rixen sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 431 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Daniel J. Rixen D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel J. Rixen sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 43 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Daniel J. Rixen is affiliated with the Technical University of Munich in Germany and has an extensive research portfolio primarily focused on engineering. Their work spans subfields including Civil and Structural Engineering, Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, and Automotive Engineering.

The scientist's research emphasizes a range of specialized topics. These include Structural Health Monitoring Techniques, Hydraulic and Pneumatic Systems, Model Reduction and Neural Networks, Vehicle Noise and Vibration Control, Bladed Disk Vibration Dynamics, Acoustic Wave Phenomena Research, and Real-time Simulation and Control Systems.

They have published multiple papers in various scholarly venues. Recently documented works include:

  • Experimental twelve degree of freedom rubber isolator models for use in substructuring assemblies, 2020, Journal of Sound and Vibration
  • A non-intrusive model-order reduction of geometrically nonlinear structural dynamics using modal derivatives, 2020, Mechanical Systems and Signal Processing
  • Contact stiffness of jointed interfaces: A comparison of dynamic substructuring techniques with frictional hysteresis measurements, 2022, Mechanical Systems and Signal Processing
  • Experimental Joint Identification Using System Equivalent Model Mixing in a Bladed Disk, 2020, Journal of vibration and acoustics
  • On the robust experimental multi-degree-of-freedom identification of bolted joints using frequency-based substructuring, 2023, Mechanical Systems and Signal Processing

Among frequent publication venues for their research are:

  • Mechanical Systems and Signal Processing
  • Experimental Techniques
  • PAMM
  • arXiv (Cornell University)
  • Multibody System Dynamics

The scientist collaborates regularly with several co-authors, including:

  • Francesco Trainotti
  • Johannes Maierhofer
  • Tomaž Bregar
  • Ahmed El Mahmoudi
  • Gregor Čepon

Daniel J. Rixen's publication record reflects a focused engagement with engineering research, particularly in areas related to structural dynamics, vibration control, and system identification. The combination of research topics and consistent collaborations indicates a multidisciplinary approach within the engineering sciences.

Best Publications

  • Mechanical Vibrations: Theory and Application to Structural Dynamics

    Michel Geradin;Daniel J. Rixen

  • General Framework for Dynamic Substructuring: History, Review and Classification of Techniques

    D. De Klerk;D. J. Rixen;S. N. Voormeeren

  • FETI‐DP: a dual–primal unified FETI method—part I: A faster alternative to the two‐level FETI method

    Charbel Farhat;Michel Lesoinne;Patrick LeTallec;Kendall Pierson

  • Théorie des vibrations : application à la dynamique des structures

    Michel Geradin;Daniel Rixen

  • General framework for transfer path analysis: History, theory and classification of techniques $

    Maarten V. van der Seijs;Dennis de Klerk;Daniel J. Rixen

  • A dual Craig-Bampton method for dynamic substructuring

    Daniel J. Rixen

  • A comparison of model reduction techniques from structural dynamics, numerical mathematics and systems and control

    B Bart Besselink;U Tabak;A Agnieszka Lutowska;van de N Nathan Wouw

  • Operational modal analysis in the presence of harmonic excitation

    P. Mohanty;D.J. Rixen

  • A simple and efficient extension of a class of substructure based preconditioners to heterogeneous structural mechanics problems

    Daniel J. Rixen;Charbel Farhat

  • Feasibility of monitoring large wind turbines using photogrammetry

    Muammer Ozbek;Daniel J. Rixen;Oliver Erne;Gunter Sanow

  • A quadratic manifold for model order reduction of nonlinear structural dynamics

    Shobhit Jain;Paolo Tiso;Johannes B. Rutzmoser;Daniel J. Rixen

  • A modified Ibrahim time domain algorithm for operational modal analysis including harmonic excitation

    P. Mohanty;D.J. Rixen

  • Operational modal analysis of a 2.5 MW wind turbine using optical measurement techniques and strain gauges

    Muammer Ozbek;Daniel J. Rixen

  • A family of substructure decoupling techniques based on a dual assembly approach

    S.N. Voormeeren;D.J. Rixen

  • AN IMPROVED METHODOLOGY FOR THE VIRTUAL POINT TRANSFORMATION OF MEASURED FREQUENCY RESPONSE FUNCTIONS IN DYNAMIC SUBSTRUCTURING

    M. van der Seijs;D. van den Bosch;D. Rixen;D. de Klerk

  • Modified ERA method for operational modal analysis in the presence of harmonic excitations

    Prasenjit Mohanty;Daniel J. Rixen

  • Calculation of Stribeck curves for (water) lubricated journal bearings

    Alex de Kraker;Ron A.J. van Ostayen;Daniel J. Rixen

  • Challenges in testing and monitoring the in-operation vibration characteristics of wind turbines

    Muammer Ozbek;Fanzhong Meng;Daniel J. Rixen

  • Automatic spectral coarse spaces for robust finite element tearing and interconnecting and balanced domain decomposition algorithms

    N. Spillane;N. Spillane;D.J. Rixen

  • A multiscale method modeling surface texture effects

    Alex de Kraker;Ron A. J. van Ostayen;Daniel J. Rixen;Anton van Beek

  • The Frequency Based Substructuring (FBS) Method reformulated according to the Dual Domain Decomposition Method

    D de Klerk;DJ Rixen

  • A multiscale method modeling surface texture effects

    Unknown

Frequent Co-Authors

Jean-Claude Golinval
Jean-Claude Golinval University of Liège
Lambertus J. Sluys
Lambertus J. Sluys Delft University of Technology
Matthew S. Allen
Matthew S. Allen Brigham Young University
Charbel Farhat
Charbel Farhat Stanford University
Michel Géradin
Michel Géradin University of Liège
Henk Polinder
Henk Polinder Delft University of Technology
Wolfgang A. Wall
Wolfgang A. Wall Technical University of Munich
Miha Boltežar
Miha Boltežar University of Ljubljana
Henk Nijmeijer
Henk Nijmeijer Eindhoven University of Technology
Jan Mandel
Jan Mandel University of Colorado Denver

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