World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12035
World Ranking
4318
National Ranking
2027

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

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