World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
13664
World Ranking
1786
National Ranking
36

Julio R. Banga 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 Julio R. Banga 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: 290 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Julio R. Banga 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 Julio R. Banga 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: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Julio R. Banga is affiliated with the Spanish National Research Council in Spain. Their research primarily spans Biochemistry, Genetics, and Molecular Biology, with significant contributions in the subfields of Molecular Biology, Artificial Intelligence, Genetics, Biophysics, and Computer Networks and Communications.

Their scholarly work addresses several main research topics, including:

  • Gene Regulatory Network Analysis
  • Microbial Metabolic Engineering and Bioproduction
  • Protein Structure and Dynamics
  • Metaheuristic Optimization Algorithms Research
  • Evolution and Genetic Dynamics
  • Bioinformatics and Genomic Networks
  • Biofuel Production and Bioconversion

Frequent coauthors collaborating with Julio R. Banga include Alejandro F. Villaverde, Irene Otero-Muras, Gemma Massonis, David R. Penas, and Jan Hasenauer.

Their research has been published in various venues, most notably:

  • bioRxiv (Cold Spring Harbor Laboratory) with 8 publications
  • PLoS Computational Biology with 6 publications
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics with 2 publications
  • International Journal of Robust and Nonlinear Control with 2 publications
  • ACS Synthetic Biology with 2 publications

Some recent papers authored or coauthored by Julio R. Banga include:

  • "A protocol for dynamic model calibration," 2021, Investigio repository of University of Vigo (University of Vigo)
  • "PEtab-Interoperable specification of parameter estimation problems in systems biology," 2021, PLoS Computational Biology
  • "Assessment of Prediction Uncertainty Quantification Methods in Systems Biology," 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • "An efficient ant colony optimization framework for HPC environments," 2021, Applied Soft Computing
  • "AutoRepar: A method to obtain identifiable and observable reparameterizations of dynamic models with mechanistic insights," 2021, International Journal of Robust and Nonlinear Control

Julio R. Banga has also contributed to book publications, including a 2024 title titled "Closing the Gap: Trends in Adaptation Finance for Fragile and Conflict-affected Settings," published by Washington, DC: World Bank eBooks.

Best Publications

  • Parameter Estimation in Biochemical Pathways: A Comparison of Global Optimization Methods

    Carmen G. Moles;Pedro Mendes;Julio R. Banga

  • Structural Identifiability of Systems Biology Models: A Critical Comparison of Methods

    Oana-Teodora Chis;Julio R. Banga;Eva Balsa-Canto

  • A hybrid approach for efficient and robust parameter estimation in biochemical pathways.

    Maria Rodriguez-Fernandez;Pedro Mendes;Julio R. Banga

  • Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems

    Maria Rodriguez-Fernandez;Jose A Egea;Julio R Banga

  • Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy

    David R. Penas;Patricia González;Jose A. Egea;Ramón Doallo

  • Optimization in computational systems biology

    Julio R Banga

  • Extended ant colony optimization for non-convex mixed integer nonlinear programming

    Martin Schlüter;Jose A. Egea;Julio R. Banga

  • Reverse engineering and identification in systems biology: strategies, perspectives and challenges

    Alejandro F. Villaverde;Julio R. Banga

  • Dynamic optimization of bioprocesses: efficient and robust numerical strategies.

    Julio R. Banga;Eva Balsa-Canto;Carmen G. Moles;Antonio A. Alonso

  • An iterative identification procedure for dynamic modeling of biochemical networks

    Eva Balsa-Canto;Antonio A Alonso;Julio R Banga

  • Improving food processing using modern optimization methods

    Julio R Banga;Eva Balsa-Canto;Carmen G Moles;Antonio A Alonso

  • Scatter search for chemical and bio-process optimization

    Jose A. Egea;María Rodríguez-Fernández;Julio R. Banga;Rafael Martí

  • MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics

    Jose A. Egea;David Henriques;David Henriques;Thomas Cokelaer;Alejandro Fernández Villaverde

  • Robust and efficient parameter estimation in dynamic models of biological systems

    Attila Gábor;Julio R. Banga

  • Optimization of the Thermal Processing of Conduction-Heated Canned Foods: Study of Several Objective Functions

    J.R. Banga;R.I. Perez-Martin;J.M. Gallardo;J.J. Casares

  • Parameter estimation and optimal experimental design.

    Julio R. Banga;Eva Balsa-Canto

  • AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology

    Eva Balsa-Canto;David Henriques;Attila Gábor;Julio R. Banga

  • An evolutionary method for complex-process optimization

    Jose A. Egea;Rafael Martí;Julio R. Banga

  • Global Optimization of Chemical Processes using Stochastic Algorithms

    Julio R. Banga;Warren D. Seider

  • Dynamic Optimization of Nonlinear Processes with an Enhanced Scatter Search Method

    Jose A. Egea;Eva Balsa-Canto;María-Sonia G. García;Julio R. Banga

  • strategies, perspectives and challenges Reverse engineering and identification in systems biology:

    Alejandro F. Villaverde;Julio R. Banga

Frequent Co-Authors

Antonio A. Alonso
Antonio A. Alonso Spanish National Research Council
Julio Saez-Rodriguez
Julio Saez-Rodriguez Heidelberg University
José Manuel Gallardo
José Manuel Gallardo Spanish National Research Council
Pedro Mendes
Pedro Mendes University of Connecticut
Rafael Martí
Rafael Martí University of Valencia
Bart Nicolai
Bart Nicolai KU Leuven
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
Santiago P. Aubourg
Santiago P. Aubourg Spanish National Research Council
Olaf Wolkenhauer
Olaf Wolkenhauer University of Rostock
John Ross
John Ross University of Tasmania

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Julio R. Banga

Trending Scientists

Recently Published Articles