World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
10763
World Ranking
3820
National Ranking
105

Daniele Marchisio 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 Daniele Marchisio 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: 336 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Daniele Marchisio 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 Daniele Marchisio 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: 51 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Daniele Marchisio is affiliated with the Polytechnic University of Turin in Italy and is active in the field of engineering, with a specific focus on materials chemistry, computational mechanics, ocean engineering, biomedical engineering, and electrical and electronic engineering.

Their research encompasses various main topics, including:

  • Fluid Dynamics and Mixing
  • Particle Dynamics in Fluid Flows
  • Rheology and Fluid Dynamics Studies
  • Block Copolymer Self-Assembly
  • Magnesium Oxide Properties and Applications
  • Lattice Boltzmann Simulation Studies
  • Groundwater Flow and Contamination Studies

Daniele Marchisio has published significantly in several venues, demonstrating a consistent contribution to specific scientific communities. Frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Process Safety and Environmental Protection
  • SSRN Electronic Journal
  • Chemical Engineering Journal
  • International Journal of Multiphase Flow

Their recent papers highlight diverse areas of investigation within engineering disciplines. Notable publications include:

  • A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning, 2021, Chemical Engineering Journal
  • Effect of inoculum origin and substrate-inoculum ratio to enhance the anaerobic digestion of organic fraction municipal solid waste (OFMSW), 2022, Journal of Cleaner Production
  • Numerical Methods for the Solution of Population Balance Equations Coupled with Computational Fluid Dynamics, 2020, Annual Review of Chemical and Biomolecular Engineering
  • From Computational Fluid Dynamics to Structure Interpretation via Neural Networks: An Application to Flow and Transport in Porous Media, 2022, Industrial & Engineering Chemistry Research
  • The Role of Operating Conditions in the Precipitation of Magnesium Hydroxide Hexagonal Platelets Using NaOH Solutions, 2023, Crystal Growth & Design

Collaborative efforts feature prominently in the work of Daniele Marchisio. Frequent co-authors include:

  • Antonio Buffo
  • Gianluca Boccardo
  • Marco Vanni
  • Andrea Cipollina
  • Salvatore Romano

Best Publications

  • Solution of population balance equations using the direct quadrature method of moments

    Daniele L. Marchisio;Rodney O. Fox

  • Quadrature method of moments for population‐balance equations

    Daniele L. Marchisio;Jesse T. Pikturna;Rodney O. Fox;R. Dennis Vigil

  • Computational Models for Polydisperse Particulate and Multiphase Systems

    Daniele L. Marchisio;Rodney O. Fox

  • Application of the direct quadrature method of moments to polydisperse gas–solid fluidized beds

    Rong Fan;Daniele L. Marchisio;Rodney O. Fox

  • Implementation of the Quadrature Method of Moments in CFD codes for aggregation-breakage problems

    Daniele L. Marchisio;R. Dennis Vigil;Rodney O. Fox

  • Synthesis, characterization, and photocatalytic application of novel TiO2 nanoparticles.

    Murid Hussain;Raffaela Ceccarelli;Daniele Marchisio;Debora Fino

  • Strategies to control the particle size distribution of poly-ε-caprolactone nanoparticles for pharmaceutical applications

    Federica Lince;Daniele L. Marchisio;Antonello A. Barresi

  • Design and scale‐up of chemical reactors for nanoparticle precipitation

    Daniele L. Marchisio;Liliana Rivautella;Antonello A. Barresi

  • CFD modelling and scale-up of Confined Impinging Jet Reactors

    Emmanuela Gavi;Daniele L. Marchisio;Antonello A. Barresi

  • On the Comparison between Population Balance Models for CFD Simulation of Bubble Columns

    Jay Sanyal;Daniele L. Marchisio;Rodney O. Fox;Kumar Dhanasekharan

  • Implementation of the population balance equation in CFD codes for modelling soot formation in turbulent flames

    Alessandro Zucca;Daniele L. Marchisio;Antonello A. Barresi;Rodney O. Fox

  • Nucleation, growth, and agglomeration in barium sulfate turbulent precipitation

    Daniele L. Marchisio;Antonello A. Barresi;Mirko Garbero

  • Validation of a novel open-source work-flow for the simulation of packed-bed reactors

    Gianluca Boccardo;Frédéric Augier;Yacine Haroun;Daniel Ferré

  • Numerical simulation of soot filtration and combustion within diesel particulate filters

    Samir Bensaid;Daniele L. Marchisio;Debora Fino

  • Multidimensional population balance model for the simulation of turbulent gas–liquid systems in stirred tank reactors

    Antonio Buffo;Marco Vanni;Daniele Marchisio

  • CFD simulation of aggregation and breakage processes in laminar Taylor-Couette flow.

    L. Wang;Daniele Marchisio;R.D. Vigil;R.O. Fox

  • Simulation of turbulent precipitation in a semi-batch Taylor-Couette reactor using CFD

    Daniele Marchisio;Antonello Barresi;R. O. Fox

  • Pore-scale simulation of fluid flow and solute dispersion in three-dimensional porous media.

    Matteo Icardi;Gianluca Boccardo;Daniele Marchisio;Tiziana Anna Elisabetta Tosco

  • Modelling of diesel particulate filtration in wall-flow traps

    Samir Bensaid;Daniele Marchisio;Debora Fino;Guido Saracco

  • Bubble size distribution modeling in stirred gas–liquid reactors with QMOM augmented by a new correction algorithm

    Miriam Petitti;Andrea Nasuti;Daniele L. Marchisio;Marco Vanni

  • Computational Models for Polydisperse Particulate and Multiphase Systems: Hard-sphere collision models

    Daniele L. Marchisio;Rodney O. Fox

Frequent Co-Authors

Antonello Barresi
Antonello Barresi Polytechnic University of Turin
Rodney O. Fox
Rodney O. Fox Iowa State University
Rajandrea Sethi
Rajandrea Sethi Polytechnic University of Turin
Paola Lettieri
Paola Lettieri University College London
Debora Fino
Debora Fino Polytechnic University of Turin
Samir Bensaid
Samir Bensaid Polytechnic University of Turin
Christian Hasse
Christian Hasse Technical University of Darmstadt
Nunzio Russo
Nunzio Russo Polytechnic University of Turin
Massimo Morbidelli
Massimo Morbidelli Polytechnic University of Milan
Pietro Asinari
Pietro Asinari Polytechnic University of Turin

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