World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
10103
World Ranking
4519
National Ranking
100

Ramón Huerta 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 Ramón Huerta 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Ramón Huerta 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 Ramón Huerta 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: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Overview

Ramón Huerta is a researcher affiliated with the Autonomous University of Madrid in Spain. Their scholarly activities focus primarily on the field of Computer Science, with specific contributions spanning computer networks, cellular and molecular neuroscience, and management science.

Their research contributions include work in the subfields of:

  • Computer Networks and Communications
  • Cellular and Molecular Neuroscience
  • Management Science and Operations Research
  • Finance
  • Artificial Intelligence

Ramón Huerta's research topics cover areas related to neurobiology, financial markets, olfaction, biochemical sensing, consumer behavior, and network security. The main topics of their work are:

  • Neurobiology and Insect Physiology Research
  • Stock Market Forecasting Methods
  • Financial Markets and Investment Strategies
  • Olfactory and Sensory Function Studies
  • Biochemical Analysis and Sensing Techniques
  • Consumer Market Behavior and Pricing
  • Network Security and Intrusion Detection

Their recent publications demonstrate a cross-disciplinary research portfolio. Key papers include:

  • "Gain modulation and odor concentration invariance in early olfactory networks," published in 2023 in PLoS Computational Biology
  • "Hedonic prices and quality adjusted price indices powered by AI," published in 2025 in the Journal of Econometrics
  • "Optimal Serverless Networks Attacks, Complexity and some Approximate Algorithms," published in 2020 by Biblos-e Archivo (Universidad Autónoma de Madrid)
  • "Hedonic Prices and Quality Adjusted Price Indices Powered by AI," published in 2023 on arXiv (Cornell University)
  • "UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models," published in 2024 on arXiv (Cornell University)

Ramón Huerta frequently collaborates with other researchers, with notable coauthors including:

  • Patrick Bajari
  • Victor Chernozhukov
  • Manoj Manukonda
  • Suhas Vijaykumar
  • Jin Wang

Their contributions have appeared in several scientific venues, illustrating the diversity of their work. Frequent publication venues include:

  • arXiv (Cornell University)
  • PLoS Computational Biology
  • Journal of Econometrics
  • Biblos-e Archivo (Universidad Autónoma de Madrid)
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Chemical gas sensor drift compensation using classifier ensembles

    Alexander Vergara;Shankar Vembu;Tuba Ayhan;Margaret A. Ryan

  • Fast response and temporal coherent oscillations in small-world networks.

    Luis F. Lago-Fernández;Ramón Huerta;Ramón Huerta;Fernando Corbacho;Juan A. Sigüenza

  • Transient Dynamics for Neural Processing

    Misha Rabinovich;Ramon Huerta;Gilles Laurent

  • Dynamical encoding by networks of competing neuron groups: winnerless competition.

    M. Rabinovich;A. Volkovskii;P. Lecanda;P. Lecanda;R. Huerta;R. Huerta

  • Transient cognitive dynamics, metastability, and decision making.

    Mikhail I. Rabinovich;Ramón Huerta;Ramón Huerta;Pablo Varona;Valentin S. Afraimovich

  • Dynamical Encoding by Networks of Competing Neuron Groups

    H. D. I. Abarbanel;R. Huerta;P. Lecanda;M. Rabinovich

  • Mechanism for Hypocretin-mediated sleep-to-wake transitions

    Matthew E. Carter;Julia Brill;Patricia Bonnavion;John R. Huguenard

  • Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring

    Jordi Fonollosa;Sadique Sheik;Ramón Huerta;Santiago Marco

  • Model of Transient Oscillatory Synchronization in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Ramon Huerta

  • Quadratic Programming Feature Selection

    Irene Rodriguez-Lujan;Ramon Huerta;Charles Elkan;Carlos Santa Cruz

  • Topological Determinants of Epileptogenesis in Large-Scale Structural and Functional Models of the Dentate Gyrus Derived From Experimental Data

    Jonas Dyhrfjeld-Johnsen;Vijayalakshmi Santhakumar;Robert J. Morgan;Ramon Huerta

  • Calibration transfer and drift counteraction in chemical sensor arrays using Direct Standardization

    J. Fonollosa;J. Fonollosa;L. Fernández;A. Gutiérrez-Gálvez;R. Huerta

  • On the calibration of sensor arrays for pattern recognition using the minimal number of experiments

    Irene Rodriguez-Lujan;Jordi Fonollosa;Alexander Vergara;Margie Homer

  • On the performance of gas sensor arrays in open sampling systems using Inhibitory Support Vector Machines

    Alexander Vergara;Jordi Fonollosa;Jonas Mahiques;Marco Trincavelli

  • Synchronized action of synaptically coupled chaotic model neurons

    Henry D. I. Abarbanel;R. Huerta;M. I. Rabinovich;N. F. Rulkov

  • Learning classification in the olfactory system of insects

    Ramón Huerta;Thomas Nowotny;Marta García-Sanchez;H. D. I. Abarbanel

  • Synchronisation in neural networks

    H.D. Abarbanel;M.I. Rabinovich;A. Selverston;M.V. Bazhenov

  • Dynamical model of long-term synaptic plasticity

    Henry D. I. Abarbanel;R. Huerta;M. I. Rabinovich

  • Contact tracing and epidemics control in social networks

    Ramon Huerta;Ramon Huerta;Lev S. Tsimring

  • Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring

    Ramón Huerta;Thiago S. Mosqueiro;Jordi Fonollosa;Nikolai F. Rulkov

Frequent Co-Authors

Mikhail I. Rabinovich
Mikhail I. Rabinovich University of California, San Diego
Allen I. Selverston
Allen I. Selverston University of California, San Diego
Maxim Bazhenov
Maxim Bazhenov University of California, San Diego
Lev S. Tsimring
Lev S. Tsimring University of California, San Diego
Santiago Marco
Santiago Marco University of Barcelona
Manuel Cebrian
Manuel Cebrian Carlos III University of Madrid
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Gilles Laurent
Gilles Laurent Max Planck Society
Jeff Hasty
Jeff Hasty University of California, San Diego
Charles Elkan
Charles Elkan University of California, San Diego

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:

Related Online Degrees & Career Pathways

The landscape of Engineering and Technology education in the USA is rapidly evolving, with a growing array of flexible online learning options. Many institutions now offer 6 week college courses online, making it possible to gain relevant skills faster than ever. These accelerated formats are ideal for busy professionals and career changers looking to upskill or pivot into new technical fields without committing to traditional semester schedules.

Beyond engineering, disciplines like finance and business are also embracing online accelerated degrees. For example, you can find leading online finance degree programs and even complete your MBA in 6 months, streamlining your path to leadership roles.

Career pathways are broadening too, with fields such as legal studies participating in this trend. Some of the best online paralegal programs offer quick entry into legal support roles, complementing engineering or tech knowledge with key compliance and regulatory expertise. These flexible online degrees empower students to advance their careers with speed and convenience.

Best Scientists Citing Ramón Huerta

Trending Scientists

Recently Published Articles