World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
Norway
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
8201
World Ranking
3723
National Ranking
11

Bjarne A. Foss 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 Bjarne A. Foss 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: 245 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Bjarne A. Foss 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 Bjarne A. Foss 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: 44 D-Index — 47th percentile

47% 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

  • 2025 - Research.com Electronics and Electrical Engineering in Norway Leader Award
  • Member of the Norwegian Academy of Science and Letters Technology
  • Member of the Norwegian Academy of Science and Letters Technology
  • Member of the Norwegian Academy of Science and Letters Technology
  • Member of the Norwegian Academy of Science and Letters Technology
  • Member of the Norwegian Academy of Science and Letters Technology
  • Member of the Norwegian Academy of Science and Letters Technology
  • Member of the Norwegian Academy of Science and Letters Technology

Overview

Bjarne A. Foss is affiliated with the Norwegian University of Science and Technology in Norway. Their research contributions span several areas within engineering and mathematics, with a focus on control and systems engineering, numerical analysis, and ocean engineering.

Their recent publications reflect work primarily in advanced control systems and optimization, fault detection, and process optimization. The notable papers authored or co-authored include:

  • "Plantwide control of an oil production network" (2020), published in Computers & Chemical Engineering
  • "A nonlinear model predictive control scheme for sensor fault tolerance in observation processes" (2020), published in International Journal of Robust and Nonlinear Control
  • "An Augmented Lagrangian for Optimal Control of DAE Systems: Algorithm and Properties" (2020), published in IEEE Transactions on Automatic Control

The main fields of study for this scientist center around engineering with significant contributions also in mathematics. More specifically, their subfields of study include:

  • Control and Systems Engineering
  • Numerical Analysis
  • Ocean Engineering

The primary research topics connected to their publications are focused on advanced control systems optimization and related themes. These include:

  • Advanced Control Systems Optimization
  • Reservoir Engineering and Simulation Methods
  • Process Optimization and Integration
  • Fault Detection and Control Systems
  • Control Systems and Identification
  • Numerical methods for differential equations
  • Advanced Optimization Algorithms Research

Frequent co-authors with whom this scientist has collaborated include:

  • Esmaeil Jahanshahi
  • Dinesh Krishnamoorthy
  • Andrés Codas
  • Sigurd Skogestad
  • Brage Rugstad Knudsen

Their work appears regularly in venues specialized in control and chemical engineering disciplines, including:

  • Computers & Chemical Engineering
  • International Journal of Robust and Nonlinear Control
  • IEEE Transactions on Automatic Control

Bjarne A. Foss is recognized as a member of the Norwegian Academy of Science and Letters for contributions in technology.

Best Publications

  • Applying the unscented Kalman filter for nonlinear state estimation

    Rambabu Kandepu;Bjarne Foss;Lars Imsland

  • Constructing NARMAX models using ARMAX models

    Tor A. Johansen;Bjarne Foss

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

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

  • Identification of non-linear system structure and parameters using regime decomposition

    Tor A. Johansen;Bjarne A. Foss

  • Operating regime based process modeling and identification

    Tor A. Johansen;Bjarne A. Foss

  • Constrained nonlinear state estimation based on the UKF approach

    S. Kolås;Bjarne A. Foss;T. S. Schei

  • Nonlinear predictive control using local models — applied to a batch fermentation process

    B.A. Foss;T.A. Johansen;A.V. Sørensen

  • Joint optimization of oil well placement and controls

    Mathias Rodrigez Bellout;David Echeverria Ciaurri;Louis J. Durlofsky;Bjarne Anton Foss

  • Modeling and control of a SOFC-GT-based autonomous power system

    Rambabu Kandepu;Lars Imsland;Bjarne A. Foss;Christoph Stiller

  • Oil production optimization—A piecewise linear model, solved with two decomposition strategies

    Vidar Gunnerud;Bjarne A. Foss

  • Observer Design for Multiphase Flow in Vertical Pipes with Gas Lift - Theory and Experiments

    Ole M. Aamo;G.O. Eikrem;H.B. Siahaan;Bjarne A. Foss

  • Dual adaptive model predictive control

    Tor Aksel N. Heirung;B. Erik Ydstie;Bjarne A. Foss

  • Constrained state estimation using the Unscented Kalman Filter

    R. Kandepu;L. Imsland;B.A. Foss

  • Technical communique: Parameter ranking by orthogonalization-Applied to nonlinear mechanistic models

    Berit Floor Lund;Bjarne A. Foss

  • A NARMAX model representation for adaptive control based on local models

    Tor A. Johansen;Bjarne A. Foss

  • A new optimization algorithm with application to nonlinear MPC

    Frode Martinsen;Lorentz T. Biegler;Bjarne A. Foss

  • A field study of the industrial modeling process

    Bjarne A. Foss;B. Lohmann;W. Marquardt

  • Output feedback stabilization of constrained systems with nonlinear predictive control

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

  • Robust control and analysis of a wind-diesel hybrid power plant

    K. Uhlen;Bjarne A. Foss;O.B. Gjøsæter

  • Performance Analysis for Closed-Loop Reservoir Management

    Bjarne A. Foss;John Petter Jensen

  • On Instability in Gas Lift Wells and Schemes for Stabilization by Automatic Control

    Gisle O. Eikrem;Ole M. Aamo;Bjarne A. Foss

  • Stabilization of Gas Lifted Wells Based on State Estimation

    Gisle Otto Eikrem;Lars Imsland;Bjarne Foss

  • More efficient predictive control

    Lars Imsland;Nadav Bar;Bjarne A. Foss

  • A note on stability, robustness and performance of output feedback nonlinear model predictive control

    Lars Imsland;Rolf Findeisen;Eric Bullinger;Frank Allgöwer

Frequent Co-Authors

Tor Arne Johansen
Tor Arne Johansen Norwegian University of Science and Technology
Ole Morten Aamo
Ole Morten Aamo Norwegian University of Science and Technology
Rolf Findeisen
Rolf Findeisen Technical University of Darmstadt
Frank Allgöwer
Frank Allgöwer University of Stuttgart
Olav Bolland
Olav Bolland Norwegian University of Science and Technology
B. Erik Ydstie
B. Erik Ydstie SilisiumTech Inc.
Wolfgang Marquardt
Wolfgang Marquardt RWTH Aachen University
Denis Gillet
Denis Gillet École Polytechnique Fédérale de Lausanne
Biao Huang
Biao Huang University of Alberta
Miroslav Krstic
Miroslav Krstic University of California, San Diego

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