World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
50
Citations
12448
World Ranking
2756
National Ranking
79

Rolf Findeisen 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 Rolf Findeisen 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: 382 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Rolf Findeisen 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 Rolf Findeisen 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: 50 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Rolf Findeisen is affiliated with the Technical University of Darmstadt in Germany. Their research primarily spans the field of Engineering, with a strong focus on Control and Systems Engineering. Other significant subfields of study include Molecular Biology, Automotive Engineering, Electrical and Electronic Engineering, and Materials Chemistry.

The scientist's work extensively engages with various topics, notably Advanced Control Systems Optimization, Fault Detection and Control Systems, and Control Systems and Identification. Additional areas of research include Advanced Battery Technologies Research, Microbial Metabolic Engineering and Bioproduction, Gaussian Processes and Bayesian Inference, and Iterative Learning Control Systems.

Frequent co-authors in their research collaborations are:

  • Richard D. Braatz (22 joint works)
  • Joachim Schaeffer (15 joint works)
  • Maik Pfefferkorn (14 joint works)
  • Johannes Pohlodek (13 joint works)
  • Janine Matschek (13 joint works)

Their research has appeared repeatedly in several publication venues, with notable concentrations in:

  • arXiv (Cornell University) - 35 publications
  • IFAC-PapersOnLine - 32 publications
  • International Journal of Robust and Nonlinear Control - 5 publications
  • Computers & Chemical Engineering - 4 publications
  • Journal of The Electrochemical Society - 3 publications

Some recent papers authored or co-authored by Rolf Findeisen include:

  • "Online learning-based model predictive control with Gaussian process models and stability guarantees" (2021), International Journal of Robust and Nonlinear Control
  • "Adaptive predictive control of bioprocesses with constraint-based modeling and estimation" (2020), Computers & Chemical Engineering
  • "Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra" (2023), Journal of The Electrochemical Society
  • "Fast, inexpensive, and reliable HPLC method to determine monomer fractions in poly(3-hydroxybutyrate-co-3-hydroxyvalerate)" (2021), Applied Microbiology and Biotechnology
  • "Toward a modeling, optimization, and predictive control framework for fed-batch metabolic cybergenetics" (2023), Biotechnology and Bioengineering

Best Publications

  • 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

  • An Introduction to Nonlinear Model Predictive Control

    Rolf Findeisen;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

  • Electrochemical Model Based Observer Design for a Lithium-Ion Battery

    R. Klein;N. A. Chaturvedi;J. Christensen;J. Ahmed

  • 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

  • Review—Dynamic Models of Li-Ion Batteries for Diagnosis and Operation : A Review and Perspective

    Ulrike Krewer;Fridolin Röder;Eranda Harinath;Richard D. Braatz

  • Homothetic tube model predictive control

    SašA V. Raković;Basil Kouvaritakis;Rolf Findeisen;Mark Cannon

  • Assessment and Future Directions of Nonlinear Model Predictive Control

    Rolf Findeisen;Frank Allgöwer;Lorenz T. Biegler

  • Optimal charging strategies in lithium-ion battery

    Reinhardt Klein;Nalin A. Chaturvedi;Jake Christensen;Jasim Ahmed

  • Stochastic nonlinear model predictive control with probabilistic constraints

    Ali Mesbah;Stefan Streif;Rolf Findeisen;Richard D. Braatz

  • Parameterized Tube Model Predictive Control

    S. V. Rakovic;B. Kouvaritakis;M. Cannon;C. Panos

  • Nonlinear Model Predictive Control for Constrained Output Path Following

    Timm Faulwasser;Rolf Findeisen

  • Input design for guaranteed fault diagnosis using zonotopes

    Joseph K. Scott;Rolf Findeisen;Richard D. Braatz;Davide Martino Raimondo

  • Computational Delay in Nonlinear Model Predictive Control

    Rolf Findeisen;Frank Allgöwer

  • Response to IL-6 trans- and IL-6 classic signalling is determined by the ratio of the IL-6 receptor α to gp130 expression: fusing experimental insights and dynamic modelling

    Heike Reeh;Nadine Rudolph;Ulrike Billing;Henrike Christen

  • Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot

    Timm Faulwasser;Tobias Weber;Pablo Zometa;Rolf Findeisen

  • Investigation of the low frequency Warburg impedance of Li-ion cells by frequency domain measurements

    M. Oldenburger;M. Oldenburger;B. Bedürftig;B. Bedürftig;A. Gruhle;F. Grimsmann

  • 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

  • Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot

    Timm Faulwasser;Tobias Weber;Juan Pablo Zometa;Rolf Findeisen

Frequent Co-Authors

Frank Allgöwer
Frank Allgöwer University of Stuttgart
Timm Faulwasser
Timm Faulwasser Hamburg University of Technology
Moritz Diehl
Moritz Diehl University of Freiburg
Zoltan K. Nagy
Zoltan K. Nagy Purdue University West Lafayette
Bjarne A. Foss
Bjarne A. Foss Norwegian University of Science and Technology
Ernst Dieter Gilles
Ernst Dieter Gilles Max Planck Society
Udo Reichl
Udo Reichl Otto-von-Guericke University Magdeburg
Kai Sundmacher
Kai Sundmacher Max Planck Institute for Dynamics of Complex Technical Systems

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