World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
8132
World Ranking
5468
National Ranking
1533

Victor M. Zavala 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 Victor M. Zavala sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 232 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Victor M. Zavala 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 Victor M. Zavala sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Victor M. Zavala is affiliated with the University of Wisconsin-Madison in the United States. Their work is primarily situated in the field of Engineering, with a focus on several subfields including Control and Systems Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Computational Theory and Mathematics, and Molecular Biology.

The research topics covered by Victor M. Zavala encompass:

  • Recycling and Waste Management Techniques
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Municipal Solid Waste Management
  • Sustainable Supply Chain Management
  • Topological and Geometric Data Analysis
  • Optimal Power Flow Distribution

Some of the recent papers authored or co-authored by Victor M. Zavala include:

  • Expanding plastics recycling technologies: chemical aspects, technology status and challenges, 2022, Green Chemistry
  • Hydroformylation of pyrolysis oils to aldehydes and alcohols from polyolefin waste, 2023, Science
  • Reducing Antisolvent Use in the STRAP Process by Enabling a Temperature-Controlled Polymer Dissolution and Precipitation for the Recycling of Multilayer Plastic Films, 2021, ChemSusChem
  • Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors, 2020, The Journal of Physical Chemistry C
  • Valuing economic impact reductions of nutrient pollution from livestock waste, 2020, Resources Conservation and Recycling

Frequent co-authors collaborating with Victor M. Zavala are:

  • Sungho Shin
  • Reid C. Van Lehn
  • Jiaze Ma
  • George W. Huber
  • Philip Tominac

The most common publication venues where Victor M. Zavala's work appears include:

  • arXiv (Cornell University)
  • Computers & Chemical Engineering
  • ACS Sustainable Chemistry & Engineering
  • IFAC-PapersOnLine
  • Industrial & Engineering Chemistry Research

Best Publications

  • Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization

    Lorenz T. Biegler;Victor M. Zavala

  • The advanced-step NMPC controller: Optimality, stability and robustness

    Victor M. Zavala;Lorenz T. Biegler

  • A Computational Framework for Uncertainty Quantification and Stochastic Optimization in Unit Commitment With Wind Power Generation

    E M Constantinescu;V M Zavala;M Rocklin;Sangmin Lee

  • Gaussian process modeling for measurement and verification of building energy savings

    Yeonsook Heo;Victor M. Zavala

  • Stability of multiobjective predictive control

    Victor M. Zavala;Antonio Flores-Tlacuahuac

  • Advanced step nonlinear model predictive control for air separation units

    Rui Huang;Victor M. Zavala;Lorenz T. Biegler

  • A fast moving horizon estimation algorithm based on nonlinear programming sensitivity

    Victor M. Zavala;Carl D. Laird;Lorenz T. Biegler

  • pyomo.dae : a modeling and automatic discretization framework for optimization with differential and algebraic equations

    Bethany Nicholson;John D. Siirola;Jean-Paul Watson;Victor M. Zavala

  • Economic assessment of concentrated solar power technologies: A review

    Alexander W. Dowling;Tian Zheng;Victor M. Zavala

  • A multi-scale optimization framework for electricity market participation

    Alexander W. Dowling;Ranjeet Kumar;Victor M. Zavala

  • Interior-point decomposition approaches for parallel solution of large-scale nonlinear parameter estimation problems

    Victor M. Zavala;Carl D. Laird;Lorenz T. Biegler

  • On-line economic optimization of energy systems using weather forecast information.

    Victor M. Zavala;Emil M. Constantinescu;Theodore Krause;Mihai Anitescu

  • Stochastic Optimization of Sub-Hourly Economic Dispatch With Wind Energy

    Harsha Gangammanavar;Suvrajeet Sen;Victor M. Zavala

  • A machine learning framework for the analysis and prediction of catalytic activity from experimental data

    Alexander Smith;Andrea Keane;James A. Dumesic;George W. Huber

  • Real-Time Nonlinear Optimization as a Generalized Equation

    Victor M. Zavala;Mihai Anitescu

  • Stochastic optimal control model for natural gas networks

    Victor M. Zavala

  • Real-Time Optimization Strategies for Building Systems†

    Victor M. Zavala

  • A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties

    Victor M. Zavala;Kibaek Kim;Mihai Anitescu;John R. Birge

  • Optimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control

    Victor M. Zavala;Lorenz T. Biegler

  • A framework for multi-stakeholder decision-making and conflict resolution

    Alexander W. Dowling;Gerardo J. Ruiz-Mercado;Victor M. Zavala

  • Nonlinear Programming Strategies for State Estimation and Model Predictive Control

    Victor M. Zavala;Lorenz T. Biegler

Frequent Co-Authors

Mihai Anitescu
Mihai Anitescu Argonne National Laboratory
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
Kirk H. Drees
Kirk H. Drees Johnson Controls (United States)
José María Ponce-Ortega
José María Ponce-Ortega Universidad Michoacana de San Nicolás de Hidalgo
Andrew A. Chien
Andrew A. Chien University of Chicago
Mariano Martín
Mariano Martín University of Salamanca
John R. Birge
John R. Birge University of Chicago
Nicholas L. Abbott
Nicholas L. Abbott Cornell University
Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
Thomas M. Jahns
Thomas M. Jahns University of Wisconsin–Madison

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