World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4042
World Ranking
13215
National Ranking
254

Inés Couso publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Inés Couso sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 165 publications — 33rd percentile

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

The last bar groups every scientist with 991 publications or more.

Inés Couso D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Inés Couso sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Inés Couso is a researcher affiliated with the University of Oviedo in Spain, specializing primarily in the fields of Engineering and Computer Science.

Their work spans several subfields including:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Automotive Engineering
  • Signal Processing

Their main research topics cover:

  • Reliability and Maintenance Optimization
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Neural Networks and Applications
  • Fault Detection and Control Systems
  • Time Series Analysis and Forecasting
  • Anomaly Detection Techniques and Applications

Among the frequent coauthors collaborating with Inés Couso are:

  • Luciano Sánchez
  • Nahuel Costa
  • José Otero
  • David Anseán
  • Olivier Strauss

The following publication venues have featured their work multiple times:

  • Reliability Engineering & System Safety
  • International Journal of Approximate Reasoning
  • Information Fusion
  • IEEE Access
  • Fuzzy Sets and Systems

Recent papers by Inés Couso include:

  • Semi-Supervised Recurrent Variational Autoencoder Approach for Visual Diagnosis of Atrial Fibrillation (2021, IEEE Access)
  • Integrating imprecise data in generative models using interval-valued Variational Autoencoders (2024, Information Fusion)
  • Simplified models of remaining useful life based on stochastic orderings (2023, Reliability Engineering & System Safety)
  • Physics-informed learning under epistemic uncertainty with an application to system health modeling (2023, International Journal of Approximate Reasoning)
  • The minimum variance of a random set on a Euclidean space (2021, Fuzzy Sets and Systems)

Inés Couso has also contributed to academic books published by Springer Science+Business Media, including multiple editions of "Information Processing and Management of Uncertainty in Knowledge-Based Systems" published in 2022.

Best Publications

  • A survey of concepts of independence for imprecise probabilities

    Ines Couso;Serafin Moral;Peter Walley

  • Examples of Independence for Imprecise Probabilities

    Inés Couso;Serafín Moral;Peter Walley

  • Statistical reasoning with set-valued information: Ontic vs. epistemic views

    Inés Couso;Didier Dubois

  • Combining GP operators with SA search to evolve fuzzy rule based classifiers

    Luciano Sánchez;Inés Couso;J. A. Corrales

  • Joint propagation of probability and possibility in risk analysis: Towards a formal framework

    Cédric Baudrit;Inés Couso;Didier Dubois

  • Divergence measure between fuzzy sets

    Susana Montes;Inés Couso;Pedro Gil;Carlo Bertoluzza

  • Genetic learning of fuzzy rules based on low quality data

    Luciano Sánchez;Inés Couso;Jorge Casillas

  • Similarity and dissimilarity measures between fuzzy sets: A formal relational study

    InéS Couso;Laura Garrido;Luciano SáNchez

  • Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems

    L. Sanchez;I. Couso

  • Higher order models for fuzzy random variables

    Inés Couso;Luciano Sánchez

  • Generalizing the Wilcoxon rank-sum test for interval data

    Julien Perolat;Inés Couso;Kevin Loquin;Olivier Strauss

  • Rough Sets, Coverings and Incomplete Information

    Inés Couso;Didier Dubois

  • On the Variability of the Concept of Variance for Fuzzy Random Variables

    I. Couso;D. Dubois

  • The necessity of the strong a-cuts of a fuzzy set

    Inés Couso;Susana Montes;Pedro Gil

  • Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables

    Inés Couso;Didier Dubois;Luciano Sánchez

  • Sets of desirable gambles: Conditioning, representation, and precise probabilities

    InéS Couso;SerafíN Moral

  • Diagnosis of dyslexia with low quality data with genetic fuzzy systems

    Ana M. Palacios;Luciano Sánchez;Inés Couso

  • Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data

    Luciano Sánchez;M. Rosario Suárez;J. R. Villar;Inés Couso

  • Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria

    L. Sanchez;I. Couso;J. Casillas

  • Independence concepts in evidence theory

    Inés Couso;Serafín Moral

  • Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning

    Ines Couso;Christian Borgelt;Eyke Hullermeier;Rudolf Kruse

  • Upper and lower probabilities induced by a fuzzy random variable

    Inés Couso;Luciano Sánchez

  • Lower previsions induced by multi-valued mappings

    Enrique Miranda;Gert de Cooman;Inés Couso

Frequent Co-Authors

Didier Dubois
Didier Dubois Paul Sabatier University
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Serafín Moral
Serafín Moral University of Granada
Javier Fernández
Javier Fernández Universidad Publica De Navarra
Benjamin Bedregal
Benjamin Bedregal Federal University of Rio Grande do Norte
Graçaliz Pereira Dimuro
Graçaliz Pereira Dimuro Federal University of Rio Grande
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg

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