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Electronics and Electrical Engineering
Germany
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
86
Citations
30990
World Ranking
357
National Ranking
8

Frank Allgöwer publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Frank Allgöwer sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 827 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Frank Allgöwer D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Frank Allgöwer sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 86 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2007 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

Frank Allgöwer is affiliated with the University of Stuttgart in Germany and has a significant research presence in the field of Engineering, particularly focused on Control and Systems Engineering. Their work spans several subfields, including Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, and Molecular Biology.

The scientist has contributed to various main research topics, notably Advanced Control Systems Optimization, Control Systems and Identification, Fault Detection and Control Systems, Stability and Control of Uncertain Systems, Model Reduction and Neural Networks, Distributed Control Multi-Agent Systems, and Gene Regulatory Network Analysis.

Recent publications by Frank Allgöwer include:

  • Data-Driven Model Predictive Control With Stability and Robustness Guarantees, 2020, IEEE Transactions on Automatic Control
  • Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control, 2020, IEEE Robotics and Automation Letters
  • Linear Tracking MPC for Nonlinear Systems-Part II: The Data-Driven Case, 2022, IEEE Transactions on Automatic Control
  • Data-Driven Control of Distributed Event-Triggered Network Systems, 2023, IEEE/CAA Journal of Automatica Sinica
  • Combining Prior Knowledge and Data for Robust Controller Design, 2022, IEEE Transactions on Automatic Control

Their frequent coauthors include:

  • Julian Berberich
  • Matthias A. Müller
  • Johannes Köhler
  • Robin Strässer
  • Michael Hertneck

Frank Allgöwer has published extensively in established academic venues. The most frequent publication outlets are:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • IEEE Transactions on Automatic Control
  • IEEE Control Systems Letters
  • Automatica

In recognition of their contributions to the field, Frank Allgöwer was named a Fellow of the International Federation of Automatic Control (IFAC) in 2007.

Best Publications

  • A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability

    H. Chen;F. ALLGöWER

  • Brief paper: An internal model principle is necessary and sufficient for linear output synchronization

    Peter Wieland;Rodolphe Sepulchre;Frank Allgöwer

  • Nonlinear Model Predictive Control

    Lalo Magni;Davide Martino Raimondo;Frank Allgöwer

  • Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview

    F. Allgöwer;T. A. Badgwell;J. S. Qin;J. B. Rawlings

  • Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations

    Moritz Diehl;H.Georg Bock;Johannes P. Schlöder;Rolf Findeisen

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

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

  • An Introduction to Nonlinear Model Predictive Control

    Rolf Findeisen;Frank Allgöwer

  • CONSTRUCTIVE SAFETY USING CONTROL BARRIER FUNCTIONS

    Peter Wieland;Frank Allgöwer

  • Robust output feedback model predictive control of constrained linear systems

    D. Q. Mayne;S. V. Raković;R. Findeisen;F. AllgöWer

  • Nonlinear Model Predictive Control: From Theory to Application

    Frank Allgöwer;Rolf Findeisen;Zoltan K. Nagy

  • State and output feedback nonlinear model predictive control: An overview

    Rolf Findeisen;Lars Imsland;Frank Allgower;Bjarne A. Foss

  • Bistability Analyses of a Caspase Activation Model for Receptor-induced Apoptosis

    Thomas Eissing;Holger Conzelmann;Ernst Dieter Gilles;Ernst Dieter Gilles;Frank Allgöwer

  • Learning an Approximate Model Predictive Controller With Guarantees

    Michael Hertneck;Johannes Kohler;Sebastian Trimpe;Frank Allgower

  • High performance feedback for fast scanning atomic force microscopes

    G. Schitter;P. Menold;H. F. Knapp;F. Allgöwer

  • Delay robustness in consensus problems

    Ulrich Münz;Antonis Papachristodoulou;Frank Allgöwer

  • Robust model predictive control for nonlinear discrete-time systems

    L. Magni;G. De Nicolao;R. Scattolini;F. Allgöwer

  • Nominal stability of real-time iteration scheme for nonlinear model predictive control

    Moritz Diehl;Rolf Findeisen;Frank Allgower;Hans Georg Bock

  • Brief paper: Robust output feedback model predictive control of constrained linear systems: Time varying case

    D. Q. Mayne;S. V. Raković;R. Findeisen;F. Allgöwer

  • Robust and optimal predictive control of the COVID-19 outbreak.

    Johannes Köhler;Lukas Schwenkel;Anne Koch;Julian Berberich

  • Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems

    Shuyou Yu;Shuyou Yu;Christoph Maier;Hong Chen;Frank Allgöwer

  • Consensus in Multi-Agent Systems With Coupling Delays and Switching Topology

    U. Munz;A. Papachristodoulou;F. Allgower

  • Assessment and Future Directions of Nonlinear Model Predictive Control

    Rolf Findeisen;Frank Allgöwer;Lorenz T. Biegler

  • Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations

    H. Georg Bock;Moritz Diehl;Johannes P. Schlöder;Frank Allgöwer

Frequent Co-Authors

Rolf Findeisen
Rolf Findeisen Technical University of Darmstadt
Matthias A. Müller
Matthias A. Müller University of Stuttgart
Ernst Dieter Gilles
Ernst Dieter Gilles Max Planck Society
Hong Chen
Hong Chen Tongji University
Moritz Diehl
Moritz Diehl University of Freiburg
Zoltan K. Nagy
Zoltan K. Nagy Purdue University West Lafayette
Hans Bock
Hans Bock Goethe University Frankfurt
Peter Scheurich
Peter Scheurich University of Stuttgart
Antonis Papachristodoulou
Antonis Papachristodoulou University of Oxford
Carsten W. Scherer
Carsten W. Scherer University of Stuttgart

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