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D-Index & Metrics

Computer Science

D-Index
37
Citations
11256
World Ranking
10470
National Ranking
4379

Erick Cantú-Paz 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 Erick Cantú-Paz 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: 84 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Erick Cantú-Paz 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 Erick Cantú-Paz 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Erick Cantú-Paz is affiliated with Amazon in the United States, where they engage in research activities. Their career is associated with this organization based in the U.S.

Although detailed information about their recent papers, co-authors, publication venues, book publications, and specific fields or subfields of study is not available, the profile reflects a researcher actively involved in an environment known for technological development and innovation.

No records of awards or notable distinctions have been documented for Erick Cantú-Paz. The absence of listed recent publications or collaborations suggests either a focus on non-published research, proprietary work, or emerging projects that may not yet be publicly disclosed.

The profile indicates a professional whose expertise is connected to Amazon, a major technology and research-driven company, implying involvement in applied or theoretical research areas aligning with the organization's industry sectors.

Best Publications

  • A Survey of Parallel Genetic Algorithms

    Erick Cantú-Paz

  • BOA: the Bayesian optimization algorithm

    Martin Pelikan;David E. Goldberg;Erick Cantú-Paz

  • Efficient and Accurate Parallel Genetic Algorithms

    Erick Cantu-Paz

  • The gambler's ruin problem, genetic algorithms, and the sizing of populations

    George Harik;Erick Cantú-Paz;David E. Goldberg;Brad L. Miller

  • Genetic and Evolutionary Computation -- GECCO-2003

    Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis

  • Linkage Problem, Distribution Estimation, and Bayesian Networks

    Martin Pelikan;David E. Goldberg;Erick E. Cantú-paz

  • Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms

    Erick Cantú-Paz

  • Efficient parallel genetic algorithms: theory and practice

    Erick Cantú-Paz;David E. Goldberg

  • Scalable Optimization via Probabilistic Modeling

    Martin Pelikan;Kumara Sastry;Erick Cantu-Paz

  • Scalable optimization via probabilistic modeling : from algorithms to applications

    Martin Pelikan;Kumara Sastry;Erick Cantú-Paz

  • Inducing oblique decision trees with evolutionary algorithms

    E. Cantu-Paz;C. Kamath

  • An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems

    E. Cantu-Paz;C. Kamath

  • Proceedings of the Genetic and Evolutionary Computation Conference

    William B. Langdon;Erick Cantú-Paz;Keith E. Mathias;Rajkumar Roy

  • Personalized click prediction in sponsored search

    Haibin Cheng;Erick Cantú-Paz

  • Topologies, migration rates, and multi-population parallel genetic algorithms

    Erick Cantú-Paz

  • Bayesian optimization algorithm, population sizing, and time to convergence

    Martin Pelikan;David E. Goldberg;Erick Cantu-Paz

  • Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)

    Martin Pelikan;Kumara Sastry;Erick Cantú-Paz

  • The 2003 Genetic and Evolutionary Computation Conference

    James A. Foster;Erick Cantu-Paz

  • Parallel object-oriented data mining system

    Chandrika Kamath;Erick Cantu-Paz

  • Feature selection in scientific applications

    Erick Cantú-Paz;Shawn Newsam;Chandrika Kamath

  • Designing Efficient and Accurate Parallel Genetic Algorithms

    Erick Cantu-Paz

Frequent Co-Authors

David E. Goldberg
David E. Goldberg University of Illinois at Urbana-Champaign
Martin Pelikan
Martin Pelikan University of Missouri
Alan C. Schultz
Alan C. Schultz United States Naval Research Laboratory
Julian F. Miller
Julian F. Miller University of York
Rajkumar Roy
Rajkumar Roy City, University of London
Stewart W. Wilson
Stewart W. Wilson University of Illinois at Urbana-Champaign
William B. Langdon
William B. Langdon University College London
Vasant Honavar
Vasant Honavar Pennsylvania State University
Riccardo Poli
Riccardo Poli University of Essex
Edmund K. Burke
Edmund K. Burke Bangor University

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