World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
5292
World Ranking
9531
National Ranking
2692

Umberto Ravaioli 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 Umberto Ravaioli 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: 233 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Umberto Ravaioli 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 Umberto Ravaioli 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2003 - IEEE Fellow For contributions to Monte Carlo simulation of electron devices.

Overview

Umberto Ravaioli is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology as well as Computer Science, with a focus on several interdisciplinary subfields.

The main subfields of study associated with their work include Molecular Biology, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Hardware and Architecture, and Software.

Key topics covered in their research are:

  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • Biomedical Text Mining and Ontologies
  • Formal Methods in Verification
  • Real-Time Systems Scheduling
  • Software Reliability and Analysis Research
  • Advanced MRI Techniques and Applications

Their recent publications encompass a range of interdisciplinary studies:

  • Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform, 2020, PLoS Biology
  • Open Source nanoBIO Tools, 2021, HubZero
  • Online nanoBIO Tools, 2021, HubZero
  • A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation, 2022, arXiv (Cornell University)
  • Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network, 2024, Frontiers in Radiology

Their co-authors frequently include Nahil Sobh, Charles Blatti, Amin Emad, Matthew J. Berry, and Lisa Gatzke.

Publication venues where their work has appeared with notable frequency include HubZero, PLoS Biology, arXiv (Cornell University), and Frontiers in Radiology.

In 2003, Umberto Ravaioli was recognized as an IEEE Fellow for contributions related to Monte Carlo simulation of electron devices.

Best Publications

  • Theory for a quantum modulated transistor

    Fernando Sols;M. MacUcci;Umberto Ravaioli;Karl Hess

  • Impact of phonon-surface roughness scattering on thermal conductivity of thin si nanowires.

    Pierre Martin;Zlatan Aksamija;Eric Pop;Umberto Ravaioli

  • On the possibility of transistor action based on quantum interference phenomena

    Fernando Sols;M. Macucci;Umberto Ravaioli;Karl Hess

  • ITERATION SCHEME FOR THE SOLUTION OF THE TWO-DIMENSIONAL SCHRODINGER-POISSON EQUATIONS IN QUANTUM STRUCTURES

    A. Trellakis;A. T. Galick;A. Pacelli;U. Ravaioli

  • An improved energy transport model including nonparabolicity and non-Maxwellian distribution effects

    D. Chen;E.C. Kan;U. Ravaioli;C.-W. Shu

  • Prediction and optimization of mechanical properties of composites using convolutional neural networks

    Diab W. Abueidda;Mohammad Almasri;Rami Ammourah;Umberto Ravaioli

  • Study of interface roughness dependence of electron mobility in Si inversion layers using the Monte Carlo method

    Shinya Yamakawa;Hiroaki Ueno;Kenji Taniguchi;Chihiro Hamaguchi

  • Electronic Response and Bandstructure Modulation of Carbon Nanotubes in a Transverse Electrical Field

    Yan Li;Slava V. Rotkin;Umberto Ravaioli

  • Reduced thermal conductivity in nanoengineered rough Ge and GaAs nanowires

    Pierre N. Martin;Zlatan Aksamija;Eric Pop;Umberto Ravaioli

  • A quantum correction based on Schrodinger equation applied to Monte Carlo device simulation

    B. Winstead;U. Ravaioli

  • Simulation of Schottky barrier MOSFETs with a coupled quantum injection/Monte Carlo technique

    B. Winstead;U. Ravaioli

  • Integration of a particle-particle-particle-mesh algorithm with the ensemble Monte Carlo method for the simulation of ultra-small semiconductor devices

    C.J. Wordelman;U. Ravaioli

  • Investigation of ballistic transport through resonant-tunnelling quantum wells using wigner function approach

    Umberto Ravaioli;Mohamed A. Osman;Walter Pötz;Norman Kluksdahl

  • Full-band Monte Carlo investigation of hot carrier trends in the scaling of metal-oxide-semiconductor field-effect transistors

    A. Duncan;U. Ravaioli;J. Jakumeit

  • Efficient numerical simulation of electron states in quantum wires

    Thomas Kerkhoven;Albert T. Galick;Umberto Ravaioli;John H. Arends

  • MODFET Ensemble Monte Carlo model including the quasi-two-dimensional electron gas

    U. Ravaioli;D.K. Ferry

  • Hot Carriers in Semiconductors

    Karl Hess;J. P. Leburton;U. Ravaioli

  • Finite-Size Effect and Wall Polarization in a Carbon Nanotube Channel

    Deyu Lu;Yan Li;Slava V. Rotkin;Umberto Ravaioli

  • Quasi-three-dimensional Green's-function simulation of coupled electron waveguides.

    M. Macucci;A. Galick;Umberto Ravaioli

  • Monte Carlo simulations of double-gate MOSFETs

    G.A. Kathawala;B. Winstead;U. Ravaioli

  • BioMOCA—a Boltzmann transport Monte Carlo model for ion channel simulation

    T.A. van der Straaten;G. Kathawala;A. Trellakis;R.S. Eisenberg

  • Empirical nanotube model for biological applications

    Deyu Lu;Yan Li;Umberto Ravaioli;Klaus J Schulten

Frequent Co-Authors

David K. Ferry
David K. Ferry Arizona State University
Klaus Schulten
Klaus Schulten University of Illinois at Urbana-Champaign
Narayana R Aluru
Narayana R Aluru University of Illinois at Urbana-Champaign
Giuseppe Iannaccone
Giuseppe Iannaccone University of Pisa
Yan Li
Yan Li Peking University
Francisco Gamiz
Francisco Gamiz University of Granada
Paolo Lugli
Paolo Lugli Free University of Bozen-Bolzano
Robert W. Dutton
Robert W. Dutton Stanford University
Eric Pop
Eric Pop Stanford University
Gerhard Klimeck
Gerhard Klimeck Purdue University West Lafayette

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