World's Best Scientists 2026 revealed!
María Ángeles Gil

María Ángeles Gil

D-Index & Metrics

Mathematics

D-Index
36
Citations
4556
World Ranking
2675
National Ranking
49

María Ángeles Gil publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where María Ángeles Gil sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 173 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

María Ángeles Gil D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where María Ángeles Gil sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 36 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

María Ángeles Gil is affiliated with the University of Oviedo in Spain. Their research primarily spans the fields of Mathematics, Decision Sciences, and Computer Science, with a focus on specialized subfields such as Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, and Applied Mathematics.

The scientist's research topics include Fuzzy Systems and Optimization, Multi-Criteria Decision Making, Fuzzy Logic and Control Systems, Functional Equations Stability Results, and Advanced Statistical Methods and Models.

Recent publications by María Ángeles Gil include:

  • "Fuzzy rating scales: Does internal consistency of a measurement scale benefit from coping with imprecision and individual differences in psychological rating?" (2020), Information Sciences
  • "Location-Free Robust Scale Estimates for Fuzzy Data" (2020), IEEE Transactions on Fuzzy Systems
  • "On some properties of Cronbach's α coefficient for interval-valued data in questionnaires" (2024), Advances in Data Analysis and Classification
  • "Strong consistency and robustness of fuzzy medoids" (2025), International Journal of Approximate Reasoning

María Ángeles Gil has collaborated frequently with a number of co-authors, including:

  • María Asunción Lubiano
  • Beatriz Sinova
  • José García-García
  • Sergio Palacio Vega
  • Luis Ángel García-Escudero

Their work has been published in various academic venues, including the Advances in Data Analysis and Classification, Information Sciences, IEEE Transactions on Fuzzy Systems, and International Journal of Approximate Reasoning.

In addition to journal articles, María Ángeles Gil has contributed to book publications with Springer Nature and Springer International Publishing. Notable titles include "Building Bridges between Soft and Statistical Methodologies for Data Science" (2022) and "Trends in Mathematical, Information and Data Sciences" (2022).

Best Publications

  • Overview on the development of fuzzy random variables

    María Ángeles Gil;Miguel López-Díaz;Dan A. Ralescu

  • Fuzzy data treated as functional data: A one-way ANOVA test approach

    Gil González-Rodríguez;Ana Colubi;María Ángeles Gil

  • A new family of metrics for compact, convex (fuzzy) sets based on a generalized concept of mid and spread

    Wolfgang Trutschnig;Gil González-Rodríguez;Ana Colubi;María Ángeles Gil

  • The fuzzy approach to statistical analysis

    Renato Coppi;Maria A. Gil;Henk A. L. Kiers

  • Asymptotic and Bootstrap techniques for testing the expected value of a fuzzy random variable

    Manuel Montenegro;Ana Colubi;María Rosa Casals;María Ángeles Gil

  • Two-sample hypothesis tests of means of a fuzzy random variable

    Manuel Montenegro;María Asunción Lubiano;María Angeles Gil

  • Bootstrap approach to the multi-sample test of means with imprecise data

    María Ángeles Gil;Manuel Montenegro;Gil González-Rodríguez;Ana Colubi

  • On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information

    M R Casals;M A Gil;P Gil

  • Statistical Modeling, Analysis and Management of Fuzzy Data

    M. A. Gil;D. A. Ralescu;C. Bertoluzza

  • Bootstrap techniques and fuzzy random variables: Synergy in hypothesis testing with fuzzy data

    Gil González-Rodríguez;Manuel Montenegro;Ana Colubi;María Ángeles Gil

  • The fuzzy decision problem: An approach to the problem of testing statistical hypotheses with fuzzy information

    M.R. Casals;M.A. Gil;P. Gil

  • Fuzzy rating scale-based questionnaires and their statistical analysis

    Sara de la Rosa de Saa;Maria Angeles Gil;Gil Gonzalez-Rodriguez;Maria Teresa Lopez

  • Least squares fitting of an affine function and strength of association for interval-valued data

    María Angeles Gil;María Asunción Lubiano;Manuel Montenegro;María Teresa López

  • A generalized strong law of large numbers

    Unknown

  • The median of a random fuzzy number. The 1-norm distance approach

    Beatriz Sinova;María Ángeles Gil;Ana Colubi;Stefan Van Aelst

  • Testing linear independence in linear models with interval-valued data

    María Ángeles Gil;Gil González-Rodríguez;Ana Colubi;Manuel Montenegro

  • A distance-based statistical analysis of fuzzy number-valued data

    A. Blanco-Fernández;M.R. Casals;A. Colubi;N. Corral

  • Constructive definitions of fuzzy random variables

    Miguel López-Diaz;Maria Angeles Gil

  • Combining Soft Computing and Statistical Methods in Data Analysis

    Christian Borgelt;Gil González-Rodríguez;Wolfgang Trutschnig;María Asunción Lubiano

  • Soft methods in probability, statistics and data analysis

    Przemysław Grzegorzewski;Olgierd Hryniewicz;María Ángeles Gil

  • Soft Methodology and Random Information Systems

    Miguel López-Díaz;María Á. Gil;Przemysław Grzegorzewski;Olgierd Hryniewicz

  • Fuzzy random variables

    María Angeles Gil

Frequent Co-Authors

Dan A. Ralescu
Dan A. Ralescu University of Cincinnati
Pierpaolo D'Urso
Pierpaolo D'Urso Sapienza University of Rome
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
João M. C. Sousa
João M. C. Sousa Instituto Superior Técnico
Michael R. Berthold
Michael R. Berthold University of Konstanz
Michel Verleysen
Michel Verleysen Université Catholique de Louvain
Zeungnam Bien
Zeungnam Bien Korea Advanced Institute of Science and Technology
Witold Pedrycz
Witold Pedrycz University of Alberta

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

Studying Mathematics in the USA opens doors to a range of online degree programs that complement analytical skills. For those interested in combining math expertise with business acumen, exploring the easiest mba program options can provide a flexible pathway to leadership roles without overwhelming admission hurdles.

If convenience is a priority, the easy online mba programs offer streamlined curricula designed for working professionals. These programs balance rigor with accessibility, allowing students with a math background to enhance their business strategy skills efficiently.

For advanced research-oriented careers, online doctoral degrees like dba programs online provide affordable options to specialize in business administration while applying quantitative analysis methods.

Additionally, those aiming to enter the finance sector may consider a cheap online masters in finance. These programs blend mathematical theory with financial principles, equipping graduates for roles in investment banking, analytics, and risk management.

Best Scientists Citing María Ángeles Gil

Trending Scientists