World's Best Scientists 2026 revealed!
Iiro Harjunkoski

Iiro Harjunkoski

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7466
World Ranking
7248
National Ranking
47

Iiro Harjunkoski publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Iiro Harjunkoski sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 159 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Iiro Harjunkoski D-index placement in Engineering and Technology in 2026

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

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Iiro Harjunkoski is affiliated with Aalto University in Finland and specializes in engineering with a focus on control and systems engineering, electrical and electronic engineering, and industrial and manufacturing engineering. Their research output includes significant contributions to process optimization and integration, advanced control systems optimization, and scheduling and optimization algorithms.

The scientist's body of work also covers topics related to smart grid energy management, electric power system optimization, reliability and maintenance optimization, and fault detection and control systems. These research areas reflect a comprehensive engagement with engineering challenges in industrial and energy systems.

Harjunkoski has published extensively in various prominent venues, including:

  • Computers & Chemical Engineering
  • Industrial & Engineering Chemistry Research
  • Systems and Control Transactions
  • Optimization and Engineering
  • European Journal of Operational Research

Recent publications by Harjunkoski feature a range of topics and collaborations. Some of the notable papers include:

  • Machine learning in process systems engineering: Challenges and opportunities, 2023, Computers & Chemical Engineering
  • Performance analysis of waste-to-energy technologies for sustainable energy generation in integrated supply chains, 2020, Computers & Chemical Engineering
  • Industrial Demand Side Management of a Steel Plant Considering Alternative Power Modes and Electrode Replacement, 2020, Industrial & Engineering Chemistry Research
  • Large-scale selective maintenance optimization using bathtub-shaped failure rates, 2020, Computers & Chemical Engineering
  • Stochastic short-term integrated electricity procurement and production scheduling for a large consumer, 2020, Computers & Chemical Engineering

Iiro Harjunkoski frequently collaborates with several co-authors, including:

  • Teemu J. Ikonen
  • Giancarlo Dalle Ave
  • Keijo Heljanko
  • Ignacio E. Grossmann
  • Lars Imsland

Best Publications

  • State-of-the-art review of optimization methods for short-term scheduling of batch processes

    Carlos Alberto Mendez;Jaime Cerda;Ignacio E. Grossmann;Iiro Harjunkoski

  • Scope for industrial applications of production scheduling models and solution methods

    Iiro Harjunkoski;Christos T. Maravelias;Peter Bongers;Pedro M. Castro

  • A decomposition approach for the scheduling of a steel plant production

    Iiro Harjunkoski;Ignacio E. Grossmann

  • Integrated production scheduling and process control: A systematic review

    Michael Baldea;Iiro Harjunkoski

  • Decomposition techniques for multistage scheduling problems using mixed-integer and constraint programming methods

    Iiro Harjunkoski;Ignacio E. Grossmann

  • A simultaneous optimization approach for off-line blending and scheduling of oil-refinery operations

    Carlos A. Méndez;Ignacio E. Grossmann;Iiro Harjunkoski;Pousga Kaboré

  • Integration of scheduling and control—Theory or practice?

    Iiro Harjunkoski;Rasmus N. Nyström;Alexander Horch

  • Scheduling and energy – Industrial challenges and opportunities

    Lennart Merkert;Iiro Harjunkoski;Alf J. Isaksson;Simo Säynevirta

  • The impact of digitalization on the future of control and operations

    Alf J. Isaksson;Iiro Harjunkoski;Iiro Harjunkoski;Guido Sand

  • Demand Response of Ancillary Service From Industrial Loads Coordinated With Energy Storage

    Xiao Zhang;Gabriela Hug;J. Zico Kolter;Iiro Harjunkoski

  • Optimal operation: Scheduling, advanced control and their integration

    Sebastian Engell;Iiro Harjunkoski

  • Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application

    Richard C. Pattison;Cara R. Touretzky;Ted Johansson;Iiro Harjunkoski

  • Resource–Task Network Formulations for Industrial Demand Side Management of a Steel Plant

    Pedro M. Castro;Lige Sun;Iiro Harjunkoski

  • Optimization of steel production scheduling with complex time-sensitive electricity cost

    Hubert Hadera;Hubert Hadera;Iiro Harjunkoski;Guido Sand;Ignacio E. Grossmann

  • An extended cutting plane method for a class of non-convex MINLP problems

    Tapio Westerlund;Hans Skrifvars;Iiro Harjunkoski;Ray Pörn

  • New continuous-time scheduling formulation for continuous plants under variable electricity cost

    Pedro M. Castro;Iiro Harjunkoski;Ignacio E. Grossmann

  • A time scale-bridging approach for integrating production scheduling and process control ☆

    Juan Du;Jungup Park;Iiro Harjunkoski;Michael Baldea

  • Different transformations for solving non-convex trim-loss problems by MINLP

    Iiro Harjunkoski;Tapio Westerlund;Ray Pörn;Hans Skrifvars

  • Production campaign planning including grade transition sequencing and dynamic optimization

    Rasmus H. Nyström;Rüdiger Franke;Iiro Harjunkoski;Andreas Kroll

  • Optimal planning of municipal solid waste management systems in an integrated supply chain network

    Maryam Mohammadi;Sirkka Liisa Jämsä-Jounela;Iiro Harjunkoski;Iiro Harjunkoski

Frequent Co-Authors

Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Sebastian Engell
Sebastian Engell TU Dortmund University
Pedro M. Castro
Pedro M. Castro University of Lisbon
Michael Baldea
Michael Baldea The University of Texas at Austin
Gabriela Hug
Gabriela Hug ETH Zurich
J. Zico Kolter
J. Zico Kolter Carnegie Mellon University
John N. Hooker
John N. Hooker Carnegie Mellon University
Mariano Martín
Mariano Martín University of Salamanca
Rajagopalan Srinivasan
Rajagopalan Srinivasan Indian Institute of Technology Madras
Prodromos Daoutidis
Prodromos Daoutidis University of Minnesota

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Iiro Harjunkoski

Trending Scientists

Recently Published Articles