World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12035
World Ranking
4318
National Ranking
2028

Carla P. Gomes 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 Carla P. Gomes 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: 269 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Carla P. Gomes 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 Carla P. Gomes 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: 55 D-Index — 71st percentile

71% 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 - ACM Fellow For establishing the field of computational sustainability, and for foundational contributions to artificial intelligence
  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Carla P. Gomes is affiliated with Cornell University in the United States and has a substantial record in computer science research with a focus on artificial intelligence and materials chemistry. Their main field of study is computer science, with 83 publications in the area.

The scientist's subfields of study include:

  • Artificial Intelligence
  • Materials Chemistry
  • Computer Vision and Pattern Recognition
  • Ecology
  • Computational Theory and Mathematics

Key topics explored in their research encompass:

  • Machine Learning in Materials Science
  • X-ray Diffraction in Crystallography
  • Marine and coastal plant biology
  • Water resources management and optimization
  • Computational Drug Discovery Methods
  • Water-Energy-Food Nexus Studies
  • Reinforcement Learning in Robotics

Notable recent publications include:

  • Scientific discovery in the age of artificial intelligence, 2023, Nature
  • Tackling Climate Change with Machine Learning, 2022, OPUS 4 (Zuse Institute Berlin)
  • Autonomous experimentation systems for materials development: A community perspective, 2021, Matter
  • Tackling Climate Change with Machine Learning, 2022, ACM Computing Surveys
  • Reducing adverse impacts of Amazon hydropower expansion, 2022, Science

The scientist collaborates frequently with the following co-authors:

  • John M. Gregoire
  • Sebastian Ament
  • Yuanqi Du
  • Alexander S. Flecker
  • Kilian Q. Weinberger

The venues where their work commonly appears include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Nature
  • npj Computational Materials
  • Nature Machine Intelligence

Carla P. Gomes has been recognized with the following awards:

  • ACM Fellow, 2017, for establishing the field of computational sustainability and for foundational contributions to artificial intelligence
  • Fellow of the American Association for the Advancement of Science (AAAS), 2013

Best Publications

  • The eBird enterprise: An integrated approach to development and application of citizen science

    Brian L. Sullivan;Jocelyn L. Aycrigg;Jessie H. Barry;Rick E. Bonney

  • Boosting combinatorial search through randomization

    Carla P. Gomes;Bart Selman;Henry Kautz

  • Algorithm portfolios

    Carla P. Gomes;Bart Selman

  • Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems

    Carla P. Gomes;Bart Selman;Nuno Crato;Henry Kautz

  • Backdoors to typical case complexity

    Ryan Williams;Carla P. Gomes;Bart Selman

  • Heavy-tailed distributions in combinatorial search

    Carla P. Gomes;Bart Selman;Nuno Crato

  • Tackling Climate Change with Machine Learning

    David Rolnick;Priya L. Donti;Lynn H. Kaack;Kelly Kochanski

  • Generating Satisfiable Problem Instances

    Dimitris Achlioptas;Carla P. Gomes;Henry A. Kautz;Bart Selman

  • Theory and Applications of Satisfiability Testing - SAT 2006

    Armin Biere;Carla P. Gomes

  • Understanding Batch Normalization

    Nils Bjorck;Carla P. Gomes;Bart Selman;Kilian Q. Weinberger

  • Chapter 2 Satisfiability Solvers

    Carla P. Gomes;Henry Kautz;Ashish Sabharwal;Bart Selman

  • Problem structure in the presence of perturbations

    Carla P. Gomes;Bart Selman

  • Dynamic restart policies

    Henry Kautz;Eric Horvitz;Yongshao Ruan;Carla Gomes

  • A Bayesian Approach to Tackling Hard Computational Problems

    Eric Horvitz;Yongshao Ruan;Carla P. Gomes;Henry A. Kautz

  • A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report)

    Eric Horvitz;Yongshao Ruan;Carla Gomes;Henry Kautz

  • Model counting: a new strategy for obtaining good bounds

    Carla P. Gomes;Ashish Sabharwal;Bart Selman

  • Algorithm portfolio design: theory vs. practice

    Carla P. Gomes;Bart Selman

  • Computational Sustainability: Computational methods for a sustainable environment, economy, and society

    Carla P. Gomes

  • Completing Quasigroups or Latin Squares: A Structured Graph Coloring Problem

    Carla P. Gomes;David Shmoys

  • Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints

    Carla P Gomes;Ashish Sabharwal;Bart Selman

  • Understanding Batch Normalization

    Johan Bjorck;Carla Gomes;Bart Selman;Kilian Q. Weinberger

Frequent Co-Authors

Bart Selman
Bart Selman Cornell University
Ashish Sabharwal
Ashish Sabharwal Allen Institute for Artificial Intelligence
Stefano Ermon
Stefano Ermon Stanford University
John M. Gregoire
John M. Gregoire California Institute of Technology
Henry Kautz
Henry Kautz University of Virginia
David B. Shmoys
David B. Shmoys Cornell University
Jörg Hoffmann
Jörg Hoffmann Saarland University
Eric Horvitz
Eric Horvitz Microsoft (United States)
Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California

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 online opens the door to a wide variety of educational and career opportunities. For those looking to start quickly, finding the easiest associate's degree to get can be a practical first step. These programs offer foundational knowledge and can often be completed in two years or less.

When considering advanced studies, it’s also important to think about costs. For example, some may wonder how much does a doctorate in education cost, as expenses can vary widely depending on the institution and delivery method.

Reputation matters, too. Attending one of the famous online colleges can offer quality instruction, better networking, and stronger career support, while still maintaining the flexibility of online learning.

Specialized fields like game development are also accessible online. There are game design schools online that let students build creative skills and gain industry-relevant experience, all from home.

Best Scientists Citing Carla P. Gomes

Trending Scientists

Recently Published Articles