World's Best Scientists 2026 revealed!
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Erik Cuevas
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Computer Science
Mexico
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 50 5687 5527 6 6 309 8430

Erik Cuevas publications per year

The chart shows the history of publications by Erik Cuevas between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Erik Cuevas published across 27 years, from 1999 to 2025, averaging 17.2 papers a year. Output peaked at 56 publications in 2024. 107 of the 465 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 56. Peak 56 publications in 2024. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 2 publications 2005: 2 publications 2006: 2 publications 2007: 2 publications 2008: 0 publications 2009: 4 publications 2010: 7 publications 2011: 10 publications 2012: 11 publications 2013: 25 publications 2014: 28 publications 2015: 11 publications 2016: 25 publications 2017: 37 publications 2018: 25 publications 2019: 21 publications 2020: 50 publications 2021: 41 publications 2022: 23 publications 2023: 30 publications 2024: 56 publications 2025: 51 publications
1999 2025

465 publications in total across all disciplines

View publications per year as a table
Erik Cuevas: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 0
2002 0
2003 1
2004 2
2005 2
2006 2
2007 2
2008 0
2009 4
2010 7
2011 10
2012 11
2013 25
2014 28
2015 11
2016 25
2017 37
2018 25
2019 21
2020 50
2021 41
2022 23
2023 30
2024 56
2025 51
Total 465
Download as CSV

Erik Cuevas publications per year - data summary

  • Erik Cuevas, a Computer Science scholar from University of Guadalajara, has 465 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive year is 2024, with 56 publications.
  • The least productive years with any output are 1999 and 2003, with 1 publication each.
  • 4 of the 27 years in the span carry no publications at all (2000, 2001, 2002 and 2008).
  • The rate of publication averages 17.2 papers per year over the whole span, or 20.2 per year counting only the 23 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 201 publications, 43% of the career total.
  • Split into equal eras - 1999-2007: 10 publications (1.1 per year); 2008-2016: 121 publications (13.4 per year); 2017-2025: 334 publications (37.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Erik Cuevas 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 Erik Cuevas 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, 302–311 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: 309 publications — 75th percentile

75% 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
302–311 250 309
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
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

Erik Cuevas publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Erik Cuevas, a Computer Science scholar from University of Guadalajara, records 309 publications - the 75th percentile of the discipline.
  • 75% of ranked Computer Science scientists score the same or lower than Erik Cuevas, and about 25% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Erik Cuevas ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Erik Cuevas 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 Erik Cuevas 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, 50–51 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: 50 D-Index — 62nd percentile

62% 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 50
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
130 3
131+ 98
Download as CSV

Erik Cuevas D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Erik Cuevas, a Computer Science scholar from University of Guadalajara, records 50 D-Index - the 62nd percentile of the discipline.
  • 62% of ranked Computer Science scientists score the same or lower than Erik Cuevas, and about 38% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Erik Cuevas ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Computer Science in Mexico Leader Award

Overview

Erik Cuevas is affiliated with the University of Guadalajara in Mexico and has a research focus primarily in computer science and engineering. Their work includes extensive contributions to artificial intelligence, computational theory and mathematics, as well as electrical and electronic engineering, with a significant publication record in these domains.

The main research fields Erik Cuevas has engaged with include:

  • Computer Science
  • Engineering

The subfields where their work is concentrated are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

The most frequent topics covered in their research are:

  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Scheduling and Optimization Algorithms
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Cellular Automata and Applications

Erik Cuevas has authored papers in various prominent venues. The frequent publication outlets include:

  • Mathematics
  • IEEE Access
  • Mathematics and Computers in Simulation
  • Applied Soft Computing
  • Applied Mathematical Modelling

Recent notable papers authored by or co-authored with Erik Cuevas are:

  • An agent-based model to evaluate the COVID-19 transmission risks in facilities, 2020, Computers in Biology and Medicine
  • A better balance in metaheuristic algorithms: Does it exist?, 2020, Swarm and Evolutionary Computation
  • An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation, 2021, Knowledge-Based Systems
  • AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets, 2022, Computers in Biology and Medicine
  • Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans, 2021, Applied Soft Computing

Erik Cuevas collaborates frequently with a network of co-authors, including:

  • Marco Pérez-Cisneros
  • Daniel Zaldívar
  • Alma Rodríguez
  • Héctor Escobar
  • Alberto Luque

In addition to journal publications, Erik Cuevas has contributed to academic book literature with multiple titles published primarily through Springer Nature and Morgan & Claypool Publishers. Some of these books include:

  • Metaheuristic Computation: A Performance Perspective
  • Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis
  • Recent Metaheuristic Computation Schemes in Engineering
  • Analysis and Comparison of Metaheuristics
  • New Metaheuristic Schemes: Mechanisms and Applications
  • Advanced Metaheuristics: Novel Approaches for Complex Problem Solving
  • Optimization Strategies: A Decade of Metaheuristic Algorithm Development
  • DC Motors
  • Computational Methods with MATLAB®
  • Optimization in Industrial Engineering

Best Publications

  • A swarm optimization algorithm inspired in the behavior of the social-spider

    Erik Cuevas;Miguel Cienfuegos;Daniel ZaldíVar;Marco PéRez-Cisneros

  • Parameter identification of solar cells using artificial bee colony optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares

  • A better balance in metaheuristic algorithms: Does it exist?

    Bernardo Morales-Castañeda;Daniel Zaldívar;Erik Cuevas;Fernando Fausto

  • An agent-based model to evaluate the COVID-19 transmission risks in facilities.

    Erik Cuevas

  • An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation

    Erik Cuevas;Alonso Echavarría;Marte A. Ramírez-Ortegón

  • Kalman filter for vision tracking

    Erik V. Cuevas;Daniel Zaldivar;Raúl Rojas

  • A comparison of nature inspired algorithms for multi-threshold image segmentation

    ValentıN Osuna-Enciso;Erik Cuevas;Humberto Sossa

  • Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm

    Diego Oliva;Salvador Hinojosa;Erik Cuevas;Gonzalo Pajares

  • A Multilevel Thresholding algorithm using electromagnetism optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • From ants to whales: metaheuristics for all tastes

    Fernando Fausto;Adolfo Reyna-Orta;Erik Cuevas;Ángel G. Andrade

  • Multilevel Thresholding Segmentation Based on Harmony Search Optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • A new algorithm inspired in the behavior of the social-spider for constrained optimization

    Erik Cuevas;Miguel Cienfuegos

  • A novel multi-threshold segmentation approach based on differential evolution optimization

    Erik Cuevas;Daniel Zaldivar;Marco Pérez-Cisneros

  • A global optimization algorithm inspired in the behavior of selfish herds.

    Fernando Fausto;Erik Cuevas;Arturo Valdivia;Adrián González

  • Circle detection using electro-magnetism optimization

    Erik Cuevas;Diego Oliva;Daniel Zaldivar;Marco Pérez-Cisneros

  • An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation

    Essam H. Houssein;Kashif Hussain;Laith Mohammad Abualigah;Laith Mohammad Abualigah;Mohamed E. Abd Elaziz

  • AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets

    Unknown

  • An Improved Crow Search Algorithm Applied to Energy Problems

    Primitivo Díaz;Marco Pérez-Cisneros;Erik Cuevas;Omar Avalos

  • A multi-level thresholding method for breast thermograms analysis using Dragonfly algorithm

    Margarita-Arimatea Díaz-Cortés;Noé Ortega-Sánchez;Salvador Hinojosa;Diego Oliva

  • A multi-threshold segmentation approach based on Artificial Bee Colony optimization

    Erik Cuevas;Felipe Sención;Daniel Zaldivar;Marco Pérez-Cisneros

  • Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)

    Erik Cuevas;Daniel ZaldíVar;Marco PéRez-Cisneros;Humberto Sossa

Frequent Co-Authors

Daniel Zaldivar
Daniel Zaldivar University of Guadalajara
Marco Pérez-Cisneros
Marco Pérez-Cisneros University of Guadalajara
Diego Oliva
Diego Oliva University of Guadalajara
Raúl Rojas
Raúl Rojas Freie Universität Berlin
Gonzalo Pajares
Gonzalo Pajares Complutense University of Madrid
Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology
Edgar N. Sanchez
Edgar N. Sanchez CINVESTAV
Songfeng Lu
Songfeng Lu Huazhong University of Science and Technology
Ram Sarkar
Ram Sarkar Jadavpur University
Laith Mohammad Abualigah
Laith Mohammad Abualigah Al al-Bayt University

External Links

Personal website of Erik Cuevas Google Scholar page

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2027 How to Become a Mental Health Counselor in Mesa, AZ: Education Requirements & Certification
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2027 Online Construction Management Degree Master's Programs That Accept Transfer Credits
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2027 Best Value Online Addiction Counseling Degree Programs: Affordable Accredited Options with the Strongest ROI
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2027 Best Online MPA Programs With Public Policy Concentrations
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2027 LMFT Accreditation: Online COAMFTE-Accredited Programs to Consider
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2027 Easiest Online Radiology Technician Degree Programs That Pay Well: High-Salary Degrees with Simple Admissions
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2027 How to Become a School Counselor in Illinois
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2027 AI, Automation, and the Future of Social Work Degree Careers
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2027 Machine Learning Engineer vs AI Engineer: Career Comparison
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2027 Is an Organizational Communication Online Degree Worth It?