World's Best Scientists 2026 revealed!
Maria-Amparo Vila

Maria-Amparo Vila

D-Index & Metrics

Computer Science

D-Index
41
Citations
8745
World Ranking
8715
National Ranking
127

Maria-Amparo Vila 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 Maria-Amparo Vila 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: 216 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Maria-Amparo Vila 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 Maria-Amparo Vila 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Maria-Amparo Vila is affiliated with the University of Granada in Spain. Their research is primarily situated within the broad domain of Computer Science, with significant contributions in the subfields of Artificial Intelligence, Information Systems, Experimental and Cognitive Psychology, Psychiatry and Mental Health, and Computer Vision and Pattern Recognition.

The scientist's work covers several main topics, including Advanced Text Analysis Techniques, Data Mining Algorithms and Applications, Psychosomatic Disorders and Their Treatments, Anxiety, Depression, Psychometrics, and Cognitive Processes, Data Visualization and Analytics, Semantic Web and Ontologies, and Data Quality and Management.

Their recent scholarly output spans various peer-reviewed journals and conference proceedings. Notable publications include:

  • "AIMDP: An Artificial Intelligence Modern Data Platform. Use case for Spanish national health service data silo," 2023, Future Generation Computer Systems
  • "Building a fuzzy sentiment dimension for multidimensional analysis in social networks," 2021, Applied Soft Computing
  • "A fuzzy-based medical system for pattern mining in a distributed environment: Application to diagnostic and co-morbidity," 2022, Applied Soft Computing
  • "Deep learning for prediction of energy consumption: an applied use case in an office building," 2024, Applied Intelligence
  • "Jumping to conclusions and suicidal behavior in depression and psychosis," 2021, Journal of Psychiatric Research

They have published repeatedly in specific venues with multiple contributions in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Applied Soft Computing
  • Future Generation Computer Systems
  • Applied Intelligence
  • Journal of Psychiatric Research

Frequent collaborators in their research include:

  • María J. Martín-Bautista
  • Stephanie Mora Andrade
  • Luis Baca
  • M.C. Pegalajar
  • Roberto Morcillo-Jiménez

Best Publications

  • On aggregation operations of linguistic labels

    M. Delgado;J. L. Verdegay;M. A. Vila

  • Linguistic decision-making models

    M. Delgado;J. L. Verdegay;M. A. Vila

  • On a canonical representation of fuzzy numbers

    M. Delgado;M. A. Vila;W. Voxman

  • A general model for fuzzy linear programming

    H. Rommelfanger;J. L. Verdegay;M. A. Vila

  • Fuzzy association rules: general model and applications

    M. Delgado;N. Marin;D. Sanchez;M.-A. Vila

  • Association rules applied to credit card fraud detection

    D. Sánchez;M. A. Vila;L. Cerda;J. M. Serrano

  • GEFRED: a generalized model of fuzzy relational databases

    Juan Miguel Medina;Olga Pons;Maria Amparo Vila

  • About the use of fuzzy clustering techniques for fuzzy model identification

    A. F. Gómez-Skarmeta;M. Delgado;M. A. Vila

  • Fuzzy cardinality based evaluation of quantified sentences

    Miguel Delgado;Daniel Sánchez;Maria Amparo Vila

  • A procedure for ranking fuzzy numbers using fuzzy relations

    M. Delgado;J. L. Verdegay;M. A. Vila

  • Fuzzy Optimization: Recent Advances

    Miguel Delgado;M. A. Vila;J. Kaprzyk;J. L. Verdegay

  • Ontologies versus relational databases: are they so different? A comparison

    Unknown

  • A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet

    M. Delgado;F. Herrera;E. Herrera-Viedma;M. J. Martin-Bautista

  • Fuzzy quantification: a state of the art

    Miguel Delgado;M. Dolores Ruiz;Daniel Sánchez;M. Amparo Vila

  • A survey of genetic feature selection in mining issues

    M.J. Martin-Bautista;M.-A. Vila

  • A new definition of fuzzy functional dependency in fuzzy relational databases

    J. C. Cubero;M. A. Vila

  • Interval and fuzzy extensions of classical transportation problems

    S. Chanas;M. Delgado;J. L. Verdegay;M. A. Vila

  • Towards the implementation of a generalized fuzzy relational database model

    J. M. Medina;M. A. Vila;J. C. Cubero;O. Pons

  • Mining association rules with improved semantics in medical databases

    Miguel Delgado;Daniel SáNchez;MarıA J MartıN-Bautista;MarıA-Amparo Vila

  • A fuzziness measure for fuzzy numbers: applications

    M. Delgado;M. A. Vila;W. Voxman

  • Knowledge Management in Fuzzy Databases

    Olga Pons;Janusz Kacprzyk;Maria A. Vila

Frequent Co-Authors

Miguel Delgado
Miguel Delgado University of Granada
José L. Verdegay
José L. Verdegay University of Granada
Stefan Chanas
Stefan Chanas Wrocław University of Science and Technology
Francisco Herrera
Francisco Herrera University of Granada
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Luis Martínez
Luis Martínez University of Jaén
Sławomir Zadrożny
Sławomir Zadrożny Systems Research Institute
Gabriella Pasi
Gabriella Pasi University of Milano-Bicocca
Janusz Kacprzyk
Janusz Kacprzyk Systems Research Institute
Adnan Yazici
Adnan Yazici Nazarbayev University

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