World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
9026
World Ranking
3901
National Ranking
12

José Carlos Pinto 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 José Carlos Pinto 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: 398 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

José Carlos Pinto 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 José Carlos Pinto 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

José Carlos Pinto is affiliated with the Federal University of Rio de Janeiro in Brazil. Their research spans several topics primarily within engineering and materials science, focusing on subfields such as organic chemistry, biomaterials, biomedical engineering, control and systems engineering, and materials chemistry.

The core research areas of José Carlos Pinto include:

  • Biodegradable polymer synthesis and properties
  • Advanced polymer synthesis and characterization
  • Fault detection and control systems
  • Enzyme catalysis and immobilization
  • Reservoir engineering and simulation methods
  • Polymer crystallization and properties
  • Catalytic processes in materials science

José Carlos Pinto has contributed to multiple scientific publications across frequent venues. These include:

  • Processes
  • SSRN Electronic Journal
  • Macromolecular Reaction Engineering
  • Macromolecular Symposia
  • Industrial & Engineering Chemistry Research

The scientist has coauthored works with several frequent collaborators including Martina C. C. Pinto, Denise Maria Guimarães Freire, Luciana Dutra, Lys H. R. Mangia, and Márcio Nele.

Recent notable papers authored or coauthored by José Carlos Pinto are:

  • "A review on robust M-estimators for regression analysis," 2021, Computers & Chemical Engineering
  • "Capture and Reuse of Carbon Dioxide (CO2) for a Plastics Circular Economy: A Review," 2021, Processes
  • "Open benchmarks for assessment of process monitoring and fault diagnosis techniques: A review and critical analysis," 2022, Computers & Chemical Engineering
  • "Enzymatic synthesis of biolubricants from by-product of soybean oil processing catalyzed by different biocatalysts of Candida rugosa lipase," 2020, Catalysis Today
  • "Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey," 2024, Processes

Best Publications

  • Nonlinear parameter estimation through particle swarm optimization

    Marcio Schwaab;Evaristo Chalbaud Biscaia;José Luiz Monteiro;José Carlos Pinto

  • Optimum reference temperature for reparameterization of the Arrhenius equation. Part 1 : Problems involving one kinetic constant

    Marcio Schwaab;José Carlos Pinto

  • The use of particle swarm optimization for dynamical analysis in chemical processes

    Cláudia O. Ourique;Evaristo C. Biscaia;José Carlos Pinto

  • Use of polyhydroxybutyrate and ethyl cellulose for coating of urea granules.

    Milene M E Costa;Elaine C M Cabral-Albuquerque;Tito L M Alves;José Carlos Pinto

  • A review on robust M-estimators for regression analysis

    D. Q. F. de Menezes;Diego Martinez Prata;Argimiro R. Secchi;José Carlos Pinto

  • When Polymer Reaction Engineers Play Dice: Applications of Monte Carlo Models in PRE

    Amanda L. T. Brandão;João B. P. Soares;José Carlos Pinto;André L. Alberton

  • Optimum reference temperature for reparameterization of the Arrhenius equation. Part 2: Problems involving multiple reparameterizations

    Marcio Schwaab;Lívia P. Lemos;José Carlos Pinto

  • A suitable model to describe bioremediation of a petroleum-contaminated soil

    Danielle M. Pala;Denize D. de Carvalho;José Carlos Pinto;Geraldo L. Sant’Anna

  • Modeling and optimization of the combined carbon dioxide reforming and partial oxidation of natural gas

    Ariane Leites Larentis;Neuman Solange de Resende;Vera Maria Martins Salim;José Carlos Pinto

  • Uma revisão sobre os processos de polimerização em suspensão

    Fabricio Machado;Enrique L. Lima;José Carlos Pinto

  • Nonlinear dynamic data reconciliation and parameter estimation through particle swarm optimization: Application for an industrial polypropylene reactor

    Diego Martinez Prata;Marcio Schwaab;Enrique Luis Lima;José Carlos Pinto

  • Simultaneous robust data reconciliation and gross error detection through particle swarm optimization for an industrial polypropylene reactor

    Diego Martinez Prata;Marcio Schwaab;Enrique Luis Lima;José Carlos Pinto

  • Statistical Analysis of Linear and Non-linear Regression for the Estimation of Adsorption Isotherm Parameters

    Taynara Andrea Osmari;Roger Gallon;Marcio Schwaab;Elisa Barbosa-Coutinho

  • A survey of advanced control of polymerization reactors

    Marcelo Embiruçu;Enrique L. Lima;José Carlos Pinto

  • Monitoring and Control of Polymerization Reactors Using NIR Spectroscopy

    Alexandre F. Santos;Fabricio M. Silva;Marcelo K. Lenzi;José Carlos Pinto

  • Steady-state modeling of slurry and bulk propylene polymerizations

    A.G. Mattos Neto;J.C. Pinto

  • Preparation of core–shell polymer supports to immobilize lipase B from Candida antarctica: Effect of the support nature on catalytic properties

    Aline G. Cunha;Marina D. Besteti;Evelin A. Manoel;Angelo A.T. da Silva

  • In-line evaluation of average particle size in styrene suspension polymerizations using near-infrared spectroscopy

    A. F. Santos;E. L. Lima;J. C. Pinto

  • The dynamic behavior of continuous solution polymerization reactors. VII: Experimental study of a copolymerization reactor

    J.C. Pinto;W.H. Ray

  • Modeling of end-use properties of poly(propylene/ethylene) resins

    Andrea Latado;Marcelo Embiruçu;Antônio G.Mattos Neto;José Carlos Pinto

  • Capture and Reuse of Carbon Dioxide (CO2) for a Plastics Circular Economy: A Review

    Laura Pires da Mata Costa;Débora Micheline Vaz de Miranda;Ana Carolina Couto de Oliveira;Luiz Falcon

  • Polymer Processing Instabilities ‐ Control and Understanding

    Jose Carlos Pinto

Frequent Co-Authors

Denise M. G. Freire
Denise M. G. Freire Federal University of Rio de Janeiro
Timothy F. L. McKenna
Timothy F. L. McKenna Claude Bernard University Lyon 1
Roberto Fernandez-Lafuente
Roberto Fernandez-Lafuente Spanish National Research Council
Bluma G. Soares
Bluma G. Soares Federal University of Rio de Janeiro
Cláudio Dariva
Cláudio Dariva Universidade Tiradentes
Martin Schmal
Martin Schmal Universidade de São Paulo
Gurutze Arzamendi
Gurutze Arzamendi Universidad Publica De Navarra
Michael F. Cunningham
Michael F. Cunningham Queen's University
João B. P. Soares
João B. P. Soares University of Alberta
José M. Asua
José M. Asua University of the Basque Country

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