World's Best Scientists 2026 revealed!
Enrique Herrera-Viedma

Enrique Herrera-Viedma

Award Badge
Computer Science
Spain
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 128 106 102 2 2 887 68239

Enrique Herrera-Viedma publications per year

The chart shows the history of publications by Enrique Herrera-Viedma between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Enrique Herrera-Viedma published across 31 years, from 1995 to 2025, averaging 38.4 papers a year. Output peaked at 127 publications in 2021. 59 of the 1,191 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 127. Peak 127 publications in 2021. 1995: 1 publication 1996: 6 publications 1997: 6 publications 1998: 4 publications 1999: 2 publications 2000: 6 publications 2001: 11 publications 2002: 10 publications 2003: 19 publications 2004: 17 publications 2005: 15 publications 2006: 25 publications 2007: 27 publications 2008: 27 publications 2009: 40 publications 2010: 35 publications 2011: 15 publications 2012: 17 publications 2013: 21 publications 2014: 32 publications 2015: 57 publications 2016: 31 publications 2017: 49 publications 2018: 96 publications 2019: 110 publications 2020: 95 publications 2021: 127 publications 2022: 121 publications 2023: 110 publications 2024: 33 publications 2025: 26 publications
1995 2025

1,191 publications in total across all disciplines

View publications per year as a table
Enrique Herrera-Viedma: publications per year, 1995 to 2025
Year Publications
1995 1
1996 6
1997 6
1998 4
1999 2
2000 6
2001 11
2002 10
2003 19
2004 17
2005 15
2006 25
2007 27
2008 27
2009 40
2010 35
2011 15
2012 17
2013 21
2014 32
2015 57
2016 31
2017 49
2018 96
2019 110
2020 95
2021 127
2022 121
2023 110
2024 33
2025 26
Total 1,191
Download as CSV

Enrique Herrera-Viedma 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 Enrique Herrera-Viedma sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 882–891 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 887 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6 887
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Enrique Herrera-Viedma 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 Enrique Herrera-Viedma sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 128–129 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 128 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7 128
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Computer Science in Spain Leader Award
  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2023 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2021 - IEEE Fellow For contributions to fuzzy decision systems and linguistic modeling

Overview

Enrique Herrera-Viedma is affiliated with the University of Granada in Spain and has contributed extensively to research within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics, Computational Theory and Mathematics, and Information Systems.

The primary topics of their research include:

  • Multi-Criteria Decision Making
  • Rough Sets and Fuzzy Logic
  • Cognitive Science and Mapping
  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Bayesian Modeling and Causal Inference
  • Fuzzy Systems and Optimization

Their recent notable publications include:

  • "Software tools for conducting bibliometric analysis in science: An up-to-date review," 2020, El Profesional de la Informacion
  • "Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation," 2023, Information Fusion
  • "Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion," 2020, European Journal of Operational Research
  • "Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective," 2020, Information Fusion
  • "Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization," 2020, Information Sciences

Enrique Herrera-Viedma frequently collaborates with several co-authors, including:

  • Francisco Chiclana
  • Sam Kwong
  • Karen Panetta
  • Mariagrazia Dotoli
  • Róbert Kozma

Their scientific output has been published in a range of venues with the highest number of publications appearing in:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Cybernetics
  • Information Fusion
  • Information Sciences
  • IEEE Transactions on Computational Social Systems

Enrique Herrera-Viedma has been recognized as an IEEE Fellow in 2021 for contributions to fuzzy decision systems and linguistic modeling.

Best Publications

  • Science mapping software tools: Review, analysis, and cooperative study among tools

    M. J. Cobo;A. G. López-Herrera;E. Herrera-Viedma;F. Herrera

  • An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field

    Manolo J. Cobo;Antonio Gabriel López-Herrera;Enrique Herrera-Viedma;Francisco Herrera

  • Linguistic decision analysis: steps for solving decision problems under linguistic information

    F. Herrera;E. Herrera-Viedma

  • Software tools for conducting bibliometric analysis in science: An up-to-date review

    José A. Moral-Muñoz;Enrique Herrera-Viedma;Antonio Santisteban-Espejo;Manuel J. Cobo

  • A model of consensus in group decision making under linguistic assessments

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • SciMAT : A new science mapping analysis software tool

    M.J. Cobo;A.G. López-Herrera;E. Herrera-Viedma;F. Herrera

  • Some issues on consistency of fuzzy preference relations

    Enrique Herrera-Viedma;Francisco Herrera;Francisco Chiclana;María Luque

  • A fusion approach for managing multi-granularity linguistic term sets in decision making

    F. Herrera;E. Herrera-Viedma;Luis Martínez

  • Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations

    F. Chiclana;F. Herrera;E. Herrera-Viedma

  • h-Index: A review focused in its variants, computation and standardization for different scientific fields

    Sergio Alonso;Francisco Javier Cabrerizo;Enrique Herrera-Viedma;Francisco Herrera

  • Direct approach processes in group decision making using linguistic OWA operators

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • A consensus model for multiperson decision making with different preference structures

    E. Herrera-Viedma;F. Herrera;F. Chiclana

  • A sequential selection process in group decision making with a linguistic assessment approach

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations

    E. Herrera-Viedma;S. Alonso;F. Chiclana;F. Herrera

  • A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations

    E. Herrera-Viedma;L. Martinez;F. Mata;F. Chiclana

  • A review of soft consensus models in a fuzzy environment

    Enrique Herrera-Viedma;Francisco Javier Cabrerizo;Janusz Kacprzyk;Witold Pedrycz

  • Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency

    E. Herrera-Viedma;F. Chiclana;F. Herrera;S. Alonso

  • Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations

    Francisco Chiclana;Francisco Herrera;Enrique Herrera-Viedma

  • A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets

    F. Herrera;E. Herrera-Viedma;L. Martinez

  • Multiperson decision making based on multiplicative preference relations.

    Francisco Herrera;Enrique Herrera-Viedma;Francisco Chiclana

  • Aggregation operators for linguistic weighted information

    F. Herrera;E. Herrera-Viedma

Frequent Co-Authors

Francisco Chiclana
Francisco Chiclana De Montfort University
Francisco Herrera
Francisco Herrera University of Granada
Francisco Javier Cabrerizo
Francisco Javier Cabrerizo University of Granada
Luis Martínez
Luis Martínez University of Jaén
Yucheng Dong
Yucheng Dong Sichuan University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Witold Pedrycz
Witold Pedrycz University of Alberta
Gang Kou
Gang Kou Southwestern University of Finance and Economics
José M. Merigó
José M. Merigó University of Technology Sydney
José L. Verdegay
José L. Verdegay University of Granada

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 Computer Science in the USA opens doors to a variety of online degree and career options. If you want to expand your education or pivot to a related field, there are many flexible online programs to consider.

Many students explore the best majors related to technology, engineering, or data science to complement their computer science background. Choosing the right major can lead to greater job opportunities and skill development in emerging tech fields.

For those seeking a swift path to advanced qualifications, there are easy masters degrees available online, offering streamlined coursework and flexible schedules. These programs are ideal for busy professionals balancing work, life, and study.

If your goals include research or higher education roles, consider enrolling in one of the affordable doctoral programs available remotely. These cost-effective options make it easier to earn a terminal degree without excessive financial burden.

Educators and administrators may benefit from accelerated edd programs online, designed to fast-track your path to leadership positions in education technology and related areas.

Best Scientists Citing Enrique Herrera-Viedma

Trending Scientists

Recently Published Articles