World's Best Scientists 2026 revealed!
Andreas Kugi

Andreas Kugi

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
38
Citations
7148
World Ranking
2230
National Ranking
4

Electronics and Electrical Engineering

D-Index
38
Citations
7189
World Ranking
4849
National Ranking
15

Andreas Kugi 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 Andreas Kugi 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: 494 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Andreas Kugi 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 Andreas Kugi 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: 38 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Andreas Kugi is affiliated with TU Wien in Austria and has contributed extensively to the field of engineering, with a strong focus on Control and Systems Engineering, Electrical and Electronic Engineering, and Mechanical Engineering. Their research spans multiple interdisciplinary subfields, including Atomic and Molecular Physics, and Optics, as well as Computer Vision and Pattern Recognition.

Kugi's recent publications demonstrate a focus on topics related to robotic systems, electric motor design, and control methodologies. The following papers exemplify their recent work:

  • A Magnetic Equivalent Circuit Based Modeling Framework for Electric Motors Applied to a PMSM With Winding Short Circuit, 2020, IEEE Transactions on Power Electronics
  • High-speed nonlinear model predictive control of an interleaved switching DC/DC-converter, 2020, Control Engineering Practice
  • Machine learning-based framework for optimally solving the analytical inverse kinematics for redundant manipulators, 2023, Mechatronics
  • Fast trajectory planning and control of a lab-scale 3D gantry crane for a moving target in an environment with obstacles, 2022, Control Engineering Practice
  • Modeling of a permanent magnet linear synchronous motor using magnetic equivalent circuits, 2021, Mechatronics

The scientist frequently collaborates with other researchers, including:

  • Andreas Steinboeck
  • Wolfgang Kemmetmüller
  • Christian Hartl-Nesic
  • Andreas Deutschmann
  • Minh Nhat Vu

Their work is regularly published in venues such as IFAC-PapersOnLine, arXiv (Cornell University), Mechatronics, Control Engineering Practice, and the Journal of Process Control. The distribution of their publications highlights a consistent contribution across theoretical and applied aspects of engineering research.

The main thematic areas of Kugi's research include:

  • Robotic Mechanisms and Dynamics
  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • Metallurgy and Material Forming
  • Iterative Learning Control Systems
  • Electric Motor Design and Analysis
  • Sensorless Control of Electric Motors

This profile illustrates a broad engagement with engineering challenges, particularly in control systems and robotics, reflecting an intersection of design, analysis, and implementation of advanced electromechanical systems.

Best Publications

  • On the Passivity-Based Impedance Control of Flexible Joint Robots

    C. Ott;A. Albu-Schaffer;A. Kugi;G. Hirzinger

  • Unscented Kalman filter for vehicle state estimation

    S. Antonov;A. Fehn;A. Kugi

  • Real-time optimal quantum control of mechanical motion at room temperature

    Lorenzo Magrini;Philipp Rosenzweig;Constanze Bach;Andreas Deutschmann-Olek

  • Tracking control for boundary controlled parabolic PDEs with varying parameters: Combining backstepping and differential flatness

    Thomas Meurer;Andreas Kugi

  • A passivity based Cartesian impedance controller for flexible joint robots - part I: torque feedback and gravity compensation

    C. Ott;A. Albu-Schaffer;A. Kugi;S. Stamigioli

  • Real-time Nonlinear Model Predictive Path-Following Control of a Laboratory Tower Crane

    Martin Bcok;Andreas Kugi

  • Stability and Incremental Improvement of Suboptimal MPC Without Terminal Constraints

    K Graichen;A Kugi

  • Modeling and simulation of a hydrostatic transmission with variable-displacement pump

    Andreas Kugi;Kurt Schlacher;Heinz Aitzetmüller;Gottfried Hirmann

  • Nonlinear H/sub /spl infin// controller design for a DC-to-DC power converter

    A. Kugi;K. Schlacher

  • Swing-up control of a triple pendulum on a cart with experimental validation

    Tobias GlüCk;Andreas Eder;Andreas Kugi

  • Nonlinear pressure control of self-supplied variable displacement axial piston pumps

    W. Kemmetmüller;F. Fuchshumer;A. Kugi

  • Handling constraints in optimal control with saturation functions and system extension

    Knut Graichen;Andreas Kugi;Nicolas Petit;Francois Chaplais

  • Mathematical Modeling and Nonlinear Controller Design for a Novel Electrohydraulic Power-Steering System

    W. Kemmetmuller;S. Muller;A. Kugi

  • A mathematical model of a slab reheating furnace with radiative heat transfer and non-participating gaseous media

    A. Steinboeck;D. Wild;T. Kiefer;A. Kugi

  • Nonlinear model predictive control of a continuous slab reheating furnace

    A. Steinboeck;D. Wild;A. Kugi

  • Modeling and static optimization of a variable speed pumped storage power plant

    J. Schmidt;W. Kemmetmüller;A. Kugi

  • Digital Slew Rate and S-Shape Control for Smart Power Switches to Reduce EMI Generation

    Mathias Blank;Tobias Gluck;Andreas Kugi;Hans-Peter Kreuter

  • Trajectory Tracking of a 3DOF Laboratory Helicopter Under Input and State Constraints

    Thomas Kiefer;Knut Graichen;Andreas Kugi

  • Decoupling based Cartesian impedance control of flexible joint robots

    C. Ott;A. Albu-Schaffer;A. Kugi;G. Hirzinger

  • A novel robust position estimator for self-sensing magnetic levitation systems based on least squares identification

    T. Glück;W. Kemmetmüller;C. Tump;A. Kugi

  • Modeling of a Permanent Magnet Synchronous Machine With Internal Magnets Using Magnetic Equivalent Circuits

    Wolfgang Kemmetmuller;David Faustner;Andreas Kugi

  • Optimisation based path planning for car parking in narrow environments

    Patrik Zips;Martin Böck;Andreas Kugi

Frequent Co-Authors

Hans Irschik
Hans Irschik Johannes Kepler University of Linz
Alin Albu-Schaffer
Alin Albu-Schaffer German Aerospace Center
Markus Aspelmeyer
Markus Aspelmeyer University of Vienna
Gerd Hirzinger
Gerd Hirzinger German Aerospace Center
Yiannos Manoli
Yiannos Manoli University of Freiburg
Martin Guay
Martin Guay Queen's University
Stefano Stramigioli
Stefano Stramigioli University of Twente

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