World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
79
Citations
18596
World Ranking
581
National Ranking
199

Fernando J. Muzzio 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 Fernando J. Muzzio 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: 335 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.

Fernando J. Muzzio 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 Fernando J. Muzzio 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: 79 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Fernando J. Muzzio is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the field of Engineering, with a focus on subfields such as Mechanical Engineering, Computational Mechanics, Analytical Chemistry, Materials Chemistry, and Pharmaceutical Science.

Their work covers a range of main topics including:

  • Granular flow and fluidized beds
  • Spectroscopy and Chemometric Analyses
  • Drug Solubility and Delivery Systems
  • Crystallization and Solubility Studies
  • Mineral Processing and Grinding
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Analytical Chemistry and Chromatography

Frequent publication venues for Fernando J. Muzzio include:

  • International Journal of Pharmaceutics (13 publications)
  • Powder Technology (5 publications)
  • Journal of Pharmaceutical Innovation (3 publications)
  • Journal of Advanced Manufacturing and Processing (3 publications)
  • Particulate Science And Technology (1 publication)

The scientist has authored recent papers such as:

  • Using residence time distribution in pharmaceutical solid dose manufacturing - A critical review, 2021, International Journal of Pharmaceutics
  • Sampling optimization for blend monitoring of a low dose formulation in a tablet press feed frame using spatially resolved near-infrared spectroscopy, 2021, International Journal of Pharmaceutics
  • SEM/EDX and Raman chemical imaging of pharmaceutical tablets: A comparison of tablet surface preparation and analysis methods, 2021, International Journal of Pharmaceutics
  • Performance assessment of linear iterative optimization technology (IOT) for Raman chemical mapping of pharmaceutical tablets, 2021, Journal of Pharmaceutical and Biomedical Analysis
  • Effect of liquid addition on the bulk and flow properties of cohesive powders, 2021, Particulate Science And Technology

Collaborators who frequently work with Fernando J. Muzzio include:

  • Sonia M. Razavi (13 collaborations)
  • Andrés D. Román-Ospino (12 collaborations)
  • James V. Scicolone (12 collaborations)
  • Gerardo Callegari (10 collaborations)
  • Ravendra Singh (9 collaborations)

Best Publications

  • Using time-dependent RPM to enhance mixing in stirred vessels

    D.J. Lamberto;F.J. Muzzio;P.D. Swanson;A.L. Tonkovich

  • Reverse Buoyancy in Shaken Granular Beds

    Troy Shinbrot;Fernando J. Muzzio

  • Powder technology in the pharmaceutical industry: the need to catch up fast

    Fernando J Muzzio;Troy Shinbrot;Benjamin J Glasser

  • Modeling of heat transfer in granular flow in rotating vessels

    Bodhisattwa Chaudhuri;Fernando J. Muzzio;M. Silvina Tomassone

  • Experimentally validated computations of flow, mixing and segregation of non-cohesive grains in 3D tumbling blenders

    Maher Moakher;Troy Shinbrot;Fernando J. Muzzio

  • Experimental and computational investigation of the laminar flow structure in a stirred tank

    D. J. Lamberto;M. M. Alvarez;Fernando Muzzio

  • The Kenics Static Mixer : a Three-dimensional Chaotic Flow

    D.M Hobbs;F.J Muzzio

  • Sampling practices in powder blending

    Fernando J Muzzio;Priscilla Robinson;Carolyn Wightman;Dean Brone

  • A review of the Residence Time Distribution (RTD) applications in solid unit operations

    Yijie Gao;Fernando J. Muzzio;Marianthi G. Ierapetritou

  • Real-time monitoring of drug concentration in a continuous powder mixing process using NIR spectroscopy

    Aditya U. Vanarase;Manel Alcalà;Jackeline I. Jerez Rozo;Fernando J. Muzzio

  • Effect of operating conditions and design parameters in a continuous powder mixer

    Aditya U. Vanarase;Fernando J. Muzzio

  • Characterizing continuous powder mixing using residence time distribution

    Yijie Gao;Aditya Vanarase;Fernando Muzzio;Marianthi Ierapetritou

  • An observed correlation between flow and electrical properties of pharmaceutical blends

    Kalyana C. Pingali;Troy Shinbrot;Stephen V. Hammond;Fernando J. Muzzio

  • The statistics of stretching and stirring in chaotic flows

    Fernando Muzzio;P. D. Swanson;J. M. Ottino

  • An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process

    Fani Boukouvala;Vasilios Niotis;Rohit Ramachandran;Fernando J. Muzzio

  • Noise to order

    Troy Shinbrot;Fernando J. Muzzio

  • Quantification of mixing in aperiodic chaotic flows

    M. Liu;F.J. Muzzio;R.L. Peskin

  • Hydrodynamics-induced variability in the USP apparatus II dissolution test

    Jennifer L. Baxter;Joseph Kukura;Fernando J. Muzzio

  • Cohesive effects in powder mixing in a tumbling blender

    Bodhisattwa Chaudhuri;Amit Mehrotra;Fernando J. Muzzio;M. Silvina Tomassone

  • Reynolds number effects on laminar mixing in the Kenics static mixer

    D.M. Hobbs;F.J. Muzzio

  • Using Residence Time Distributions (RTDs) to Address the Traceability of Raw Materials in Continuous Pharmaceutical Manufacturing

    William Engisch;Fernando Muzzio

  • Experimentally Validated Numerical Modeling of Heat Transfer in Granular Flow in Rotating Vessels

    Bodhisattwa Chaudhuri;Fernando J. Muzzio;M. Silvina Tomassone

Frequent Co-Authors

Marianthi G. Ierapetritou
Marianthi G. Ierapetritou University of Delaware
Troy Shinbrot
Troy Shinbrot Rutgers, The State University of New Jersey
Benjamin J. Glasser
Benjamin J. Glasser Rutgers, The State University of New Jersey
Rohit Ramachandran
Rohit Ramachandran Rutgers, The State University of New Jersey
Paulo E. Arratia
Paulo E. Arratia University of Pennsylvania
Alberto M. Cuitiño
Alberto M. Cuitiño Rutgers, The State University of New Jersey
Julio M. Ottino
Julio M. Ottino Northwestern University
Richard E. Riman
Richard E. Riman Rutgers, The State University of New Jersey
Johannes Khinast
Johannes Khinast Graz University of Technology
Mingyao Liu
Mingyao Liu University Health Network

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