World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
6711
World Ranking
6979
National Ranking
438

Sandro Macchietto 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 Sandro Macchietto 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: 178 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Sandro Macchietto 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 Sandro Macchietto 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: 41 D-Index — 31st percentile

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

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

Overview

Sandro Macchietto is affiliated with Imperial College London in the United Kingdom and has contributed extensively to the field of engineering. Their research covers several subfields, including control and systems engineering, mechanical engineering, statistical and nonlinear physics, biomaterials, and electrical and electronic engineering.

The scientist's work spans a variety of topics, predominantly focused on areas such as:

  • Advanced Thermodynamics and Statistical Mechanics
  • Process Optimization and Integration
  • Calcium Carbonate Crystallization and Inhibition
  • Heat Transfer and Optimization
  • Advanced Control Systems Optimization
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Freezing and Crystallization Processes

Sandro Macchietto has authored several papers published in noted venues, addressing various aspects of engineering processes and systems. Selected recent papers include:

  • Recovery and Utilization of Low-Grade Waste Heat in the Oil-Refining Industry Using Heat Engines and Heat Pumps: An International Technoeconomic Comparison, 2020, Energies
  • A Model-Based Method for Visualization, Monitoring, and Diagnosis of Fouling in Heat Exchangers, 2020, Industrial & Engineering Chemistry Research
  • Fouling and cleaning of plate heat exchangers: Dairy application, 2020, Food and Bioproducts Processing
  • Whey protein fouling prediction in plate heat exchanger by combining dynamic modelling, dimensional analysis, and symbolic regression, 2022, Food and Bioproducts Processing
  • Stochastic modelling of sandstorms affecting the optimal operation and cleaning scheduling of air coolers in concentrated solar power plants, 2020, Energy

Their frequent coauthors include Federico Lozano Santamaría, Mariano Martín, José A. Luceño, Christos N. Markides, and Guillaume Delaplace, indicating collaboration across several research groups and topics.

Macchietto's publications appear most often in venues such as Food and Bioproducts Processing, Computers & Chemical Engineering, Energies, Industrial & Engineering Chemistry Research, and Energy, reflecting interdisciplinary interests within applied engineering and process optimization.

Best Publications

  • Model-based design of experiments for parameter precision: State of the art

    Gaia Franceschini;Sandro Macchietto

  • Computer aided molecular design: a novel method for optimal solvent selection

    O. Odele;S. Macchietto

  • Statistical tools for optimal dynamic model building

    S.P. Asprey;S. Macchietto

  • Designing robust optimal dynamic experiments

    S.P. Asprey;S. Macchietto

  • Temperature control of exothermic batch reactors using generic model control

    Barry J. Cott;Sandro Macchietto

  • Dynamic modelling and simulation of plate heat exchangers under milk fouling

    Michael C. Georgiadis;Sandro Macchietto

  • A general methodology for hybrid multizonal/CFD models: Part II. Automatic zoning

    Fabrizio Bezzo;Sandro Macchietto

  • A Dynamic, Distributed Model of Shell-and-Tube Heat Exchangers Undergoing Crude Oil Fouling

    Francesco Coletti;Sandro Macchietto

  • General hybrid multizonal/CFD approach for bioreactor modeling

    Fabrizio Bezzo;S. Macchietto;C. C. Pantelides

  • The optimal design of dynamic experiments

    D. Espie;S. Macchietto

  • Design of optimal solvents for liquid-liquid extraction and gas absorption processes

    S. Macchietto;O. Odele;O. Omatsone

  • Mathematical Modeling of Three-Dimensional Cell Cultures in Perfusion Bioreactors

    Francesco Coletti;Sandro Macchietto;Nicola Elvassore

  • Optimal scheduling of energy storage for renewable energy distributed energy generation system

    Wai Shin Ho;Wai Shin Ho;Sandro Macchietto;Jeng Shiun Lim;Haslenda Hashim

  • A general methodology for hybrid multizonal/CFD models: Part I. Theoretical framework

    Fabrizio Bezzo;Sandro Macchietto;Constantinos C. Pantelides

  • Model-Based Design of Parallel Experiments

    Federico Galvanin;Sandro Macchietto;Fabrizio Bezzo

  • Detailed design of multipurpose batch plants

    A.P. Barbosa-Póvoa;S. Macchietto

  • Minimizing the effects of batch process variability using online schedule modification

    B.J. Cott;S. Macchietto

  • A general mathematical programming approach for process plant layout

    Michael C. Georgiadis;Gordian Schilling;Gordian Schilling;Guillermo E. Rotstein;Sandro Macchietto

  • Fouling in Crude Oil Preheat Trains: A Systematic Solution to an Old Problem

    S Macchietto;G F Hewitt;F Coletti;Barry D Crittenden

  • Optimal operation of multicomponent batch distillation—multiperiod formulation and solution

    I.M. Mujtaba;S. Macchietto

Frequent Co-Authors

Michael C. Georgiadis
Michael C. Georgiadis Aristotle University of Thessaloniki
Iqbal M. Mujtaba
Iqbal M. Mujtaba University of Bradford
Wai Shin Ho
Wai Shin Ho University of Technology Malaysia
Omar Matar
Omar Matar Imperial College London
Geoffrey F. Hewitt
Geoffrey F. Hewitt Imperial College London
Lazaros G. Papageorgiou
Lazaros G. Papageorgiou University College London
Erich A. Müller
Erich A. Müller Imperial College London
Haslenda Hashim
Haslenda Hashim University of Technology Malaysia
Constantinos C. Pantelides
Constantinos C. Pantelides Imperial College London
Jeng Shiun Lim
Jeng Shiun Lim University of Technology Malaysia

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