World's Best Scientists 2026 revealed!
Vicenç Torra

Vicenç Torra

D-Index & Metrics

Computer Science

D-Index
52
Citations
16415
World Ranking
4975
National Ranking
22

Vicenç Torra 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 Vicenç Torra 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: 493 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Vicenç Torra 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 Vicenç Torra 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to fuzzy sets, decision under uncertainty, and data privacy

Overview

Vicenç Torra is affiliated with Umeå University in Sweden and has a research portfolio that spans multiple domains within computer science and decision sciences. Their work focuses on areas such as privacy-preserving technologies, fuzzy systems, and multi-criteria decision making.

The scientist has contributed extensively to the following fields of study:

  • Computer Science
  • Decision Sciences

Their research covers key subfields including:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Statistics and Probability
  • Computational Theory and Mathematics
  • Control and Systems Engineering

Main topics of their work have addressed:

  • Privacy-Preserving Technologies in Data
  • Multi-Criteria Decision Making
  • Cryptography and Data Security
  • Fuzzy Systems and Optimization
  • Fuzzy Logic and Control Systems
  • Rough Sets and Fuzzy Logic
  • Privacy, Security, and Data Protection

Vicenç Torra has published in various academic venues, with frequent appearances in:

  • Proceedings of the IEEE
  • arXiv (Cornell University)
  • International Journal of Information Security
  • Fuzzy Sets and Systems
  • Progress in Artificial Intelligence

Selected recent papers include:

  • "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" (2021), published in CINECA IRIS Institutional Research Information System (University of Pisa)
  • "Literature Review of the Recent Trends and Applications in Various Fuzzy Rule-Based Systems" (2023), published in International Journal of Fuzzy Systems
  • "Andness directedness for operators of the OWA and WOWA families" (2020), published in Fuzzy Sets and Systems
  • "PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization" (2022), published in International Journal of Information Security
  • "The transport problem for non-additive measures" (2023), published in European Journal of Operational Research

The scientist has collaborated frequently with colleagues such as Mahdi Eftekhari, Adel Mehrpooya, Farid Saberi-Movahed, D.J. Allstot, and John Baillieul.

Books published by Vicenç Torra include:

  • "How Fuzzy Concepts Contribute to Machine Learning" (2022), published by Springer Nature
  • "Guide to Data Privacy" (2022), published under Undergraduate Topics in Computer Science
  • "Modeling Decisions for Artificial Intelligence" (2022), published by Springer Science+Business Media

They have been recognized as an IEEE Fellow in 2017 for contributions to fuzzy sets, decision under uncertainty, and data privacy.

Best Publications

  • Hesitant fuzzy sets

    Vicenç Torra

  • On hesitant fuzzy sets and decision

    Vicenc Torra;Yasuo Narukawa

  • Modeling Decisions: Information Fusion and Aggregation Operators

    Vicenç Torra;Yasuo Narukawa

  • The weighted OWA operator

    Vicenç Torra

  • Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation

    Josep Domingo-Ferrer;Vicenç Torra

  • Hesitant Fuzzy Sets: State of the Art and Future Directions

    R. M. Rodríguez;L. Martínez;V. Torra;Z. S. Xu

  • A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress

    R.M. Rodríguez;B. Bedregal;H. Bustince;Y.C. Dong

  • Disclosure control methods and information loss for microdata

    Vicenç Torra;Josep Domingo-Ferrer;P. Doyle;J.I. Lane

  • A Critique of k-Anonymity and Some of Its Enhancements

    J. Domingo-Ferrer;V. Torra

  • Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)

    Vicenç Torra;Yasuo Narukawa

  • Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms

    Benjamin Bedregal;Renata Reiser;Humberto Bustince;Carlos Lopez-Molina

  • Negation functions based semantics for ordered linguistic labels

    Vicenç Torra

  • OWA operators in data modeling and reidentification

    V. Torra

  • Comparing SDC Methods for Microdata on the Basis of Information Loss and Disclosure Risk

    Josep Domingo-Ferrer;Josep M. Mateo-Sanz and;Vicenç Torra

  • Microaggregation for Categorical Variables: A Median Based Approach

    Vicenç Torra

  • Information Fusion in Data Mining

    Vicenc Torra

  • A review of the construction of hierarchical fuzzy systems

    Vicenç Torra

  • Decomposition theorems and extension principles for hesitant fuzzysets

    Jos Carlos R. Alcantud;Vicen Torra

  • Trends in Information fusion in Data Mining

    Vicenç Torra

  • Disclosure risk assessment in statistical microdata protection via advanced record linkage

    Josep Domingo-Ferrer;Vicenç Torra

  • Microaggregation for categorical variables: Microaggregation for categorical variables: A median based approach

    Vicenc Torra

  • Modeling Decisions for Artificial Intelligence : 13th International Conference, MDAI 2016Sant Juliàde Lòria, Andorra, September 19–21, 2016: Proceedings

    Vicenç Torra;Yasuo Narukawa;Guillermo Navarro-Arribas;Cristina Yañez

Frequent Co-Authors

Josep Domingo-Ferrer
Josep Domingo-Ferrer Rovira i Virgili University
Lluís Godo
Lluís Godo Spanish National Research Council
Michio Sugeno
Michio Sugeno Tokyo Institute of Technology
Francisco Herrera
Francisco Herrera University of Granada
Stan Matwin
Stan Matwin Dalhousie University
Masahiro Inuiguchi
Masahiro Inuiguchi Osaka University
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Luis Martínez
Luis Martínez University of Jaén
Zeshui Xu
Zeshui Xu Sichuan University
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems

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