World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
6285
World Ranking
5914
National Ranking
37

Henrik Saxén 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 Henrik Saxén 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: 292 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Henrik Saxén 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 Henrik Saxén 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: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Henrik Saxén is affiliated with Åbo Akademi University in Finland and has a research focus primarily within the field of Engineering. Their scholarly output spans several subfields, including Mechanical Engineering, Biomedical Engineering, Computational Mechanics, Materials Chemistry, and Civil and Structural Engineering.

Their work centers around topics relevant to Industrial and Materials Engineering, with particular emphasis on Iron and Steelmaking Processes, Metallurgical Processes and Thermodynamics, Mineral Processing and Grinding, Metal Extraction and Bioleaching, CO2 Sequestration and Geologic Interactions, Chemical Looping and Thermochemical Processes, as well as Concrete and Cement Materials Research.

Recent publications by Henrik Saxén reflect diverse research interests and collaborations. Notable papers include:

  • Measurement and simulation validation of DEM parameters of pellet, sinter and coke particles, 2020, Powder Technology
  • A Review on Explorations of the Oxygen Blast Furnace Process, 2020, steel research international
  • Co-treatment of Waste From Steelmaking Processes: Steel Slag-Based Carbon Capture and Storage by Mineralization, 2020, Frontiers in Chemistry
  • Computational analysis of hydrogen reduction of iron oxide pellets in a shaft furnace process, 2021, Renewable Energy
  • Numerical modelling of blast furnace - Evolution and recent trends, 2020, Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy

Henrik Saxén frequently publishes in several scientific journals, including:

  • steel research international
  • Metallurgical and Materials Transactions B
  • Metals
  • SSRN Electronic Journal
  • Materials

Collaborations are an integral part of Henrik Saxén's research endeavors. Frequent co-authors include:

  • Yaowei Yu (23 joint publications)
  • Lei Shao (20 joint publications)
  • Ron Zevenhoven (19 joint publications)
  • Qing Zhao (18 joint publications)
  • Chengjun Liu (11 joint publications)

Best Publications

  • A genetic algorithms based multi-objective neural net applied to noisy blast furnace data

    F. Pettersson;N. Chakraborti;H. Saxén

  • Experimental and DEM study of segregation of ternary size particles in a blast furnace top bunker model

    Yaowei Yu;Henrik Saxén

  • Nonlinear Prediction of the Hot Metal Silicon Content in the Blast Furnace

    Henrik Saxén;Frank Pettersson

  • Data-Driven Time Discrete Models for Dynamic Prediction of the Hot Metal Silicon Content in the Blast Furnace—A Review

    Henrik Saxen;Chuanhou Gao;Zhiwei Gao

  • Model of the state of the blast furnace hearth

    Jan Torrkulla;Henrik Saxén

  • Discrete element method simulation of properties of a 3D conical hopper with mono-sized spheres

    Yaowei Yu;Henrik Saxén

  • Analyzing Leaching Data for Low-Grade Manganese Ore Using Neural Nets and Multiobjective Genetic Algorithms

    Frank Pettersson;Arijit Biswas;Prodip Kumar Sen;Henrik Saxén

  • Cu―Zn separation by supported liquid membrane analyzed through Multi-objective Genetic Algorithms

    Debanga Nandan Mondal;Kadambini Sarangi;Frank Pettersson;Prodip Kumar Sen

  • Segregation behavior of particles in a top hopper of a blast furnace

    Yaowei Yu;Henrik Saxén

  • Genetic Programming Evolved through Bi-Objective Genetic Algorithms Applied to a Blast Furnace

    Brijesh Kumar Giri;Frank Pettersson;Henrik Saxén;Nirupam Chakraborti

  • Nonlinear optimization of steel production using traditional and novel blast furnace operation strategies

    Hannu Helle;Mikko Helle;Henrik Saxén

  • Method for the selection of inputs and structure of feedforward neural networks

    Henrik Saxén;Frank Pettersson

  • Evolving Nonlinear Time-Series Models of the Hot Metal Silicon Content in the Blast Furnace

    Henrik Saxén;Frank Pettersson;Kiran Gunturu

  • Genetic Algorithm-Based Multicriteria Optimization of Ironmaking in the Blast Furnace

    Frank Pettersson;Henrik Saxén;Kalyanmoy Deb

  • Preparation of Cu–Cr alloy powder by mechanical alloying

    Qing Zhao;Qing Zhao;Zhongbao Shao;Chengjun Liu;Maofa Jiang

  • Optimization of a small-scale LNG supply chain

    A. Bittante;F. Pettersson;H. Saxén

  • VARMAX-MODELLING OF BLAST FURNACE PROCESS VARIABLES

    Ralf Östermark;Henrik Saxén

  • Modeling the Liquid Levels in the Blast Furnace Hearth

    Johnny Brännbacka;Henrik Saxén

  • Nonlinear Modeling Method Applied to Prediction of Hot Metal Silicon in the Ironmaking Blast Furnace

    Antti Nurkkala;Frank Pettersson;Henrik Saxén

  • Optimization of a natural gas distribution network with potential future extensions

    Markéta Mikolajková;Carl Haikarainen;Henrik Saxén;Frank Pettersson

  • Indicators of the Internal State of the Blast Furnace Hearth

    Jan Torrkulla;Johnny Brännbacka;Henrik Saxén;Matias Waller

Frequent Co-Authors

Ron Zevenhoven
Ron Zevenhoven Åbo Akademi University
Baokuan Li
Baokuan Li Northeastern University
Tapio Salmi
Tapio Salmi Åbo Akademi University
Krishna Rajan
Krishna Rajan University at Buffalo, State University of New York
George S. Dulikravich
George S. Dulikravich Florida International University
Zhiwei Gao
Zhiwei Gao Northumbria University
Pär Jönsson
Pär Jönsson Royal Institute of Technology
John E. Eriksson
John E. Eriksson Åbo Akademi University
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University

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