World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
11128
World Ranking
4831
National Ranking
2249

Mathematics

D-Index
47
Citations
9082
World Ranking
1269
National Ranking
565

Research.com Recognitions

  • 2018 - Khachiyan Prize of the INFORMS Optimization Society
  • 2007 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

John N. Hooker is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields including Computer Science, Social Sciences, and Decision Sciences, with a specific focus on areas such as Economics and Econometrics, Safety Research, Computer Networks and Communications, Management Science and Operations Research, and Artificial Intelligence.

The scientist has contributed extensively to topics including Game Theory and Voting Systems, Constraint Satisfaction and Optimization, Ethics and Social Impacts of AI, Auction Theory and Applications, Experimental Behavioral Economics Studies, Facility Location and Emergency Management, and Optimization and Mathematical Programming.

Recent papers authored by John N. Hooker include the following:

  • A guide to formulating fairness in an optimization model, 2023, Annals of Operations Research
  • Operational Research: methods and applications, 2023, Journal of the Operational Research Society
  • Stochastic Planning and Scheduling with Logic-Based Benders Decomposition, 2022, INFORMS journal on computing
  • Combining leximax fairness and efficiency in a mathematical programming model, 2021, European Journal of Operational Research
  • A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism, 2020, Proceedings of the AAAI/ACM Conference on AI Ethics and Society

John N. Hooker frequently collaborates with several coauthors, including Özgün Elçi, Peter Zhang, Arvind U. Raghunathan, David Bergman, and Thiago Serra.

The scientist's work appears regularly in prominent publication venues, with multiple contributions to arXiv (Cornell University), INFORMS journal on computing, Journal of Business Ethics Education, Zenodo (CERN European Organization for Nuclear Research), and Annals of Operations Research.

John N. Hooker has published books through Morgan & Claypool Publishers, including "Logic-Based Benders Decomposition" (2023) and the forthcoming "The Structure of Fair Solutions" (2025).

The scientist has received recognition including the Khachiyan Prize of the INFORMS Optimization Society in 2018 and was named Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2007.

Best Publications

  • In This Volume

    John Hooker

  • Logic-Based Benders Decomposition

    John N. Hooker;G. Ottosson

  • Testing Heuristics: We Have It All Wrong

    John N. Hooker

  • Scope for industrial applications of production scheduling models and solution methods

    Iiro Harjunkoski;Christos T. Maravelias;Peter Bongers;Pedro M. Castro

  • Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction

    John Hooker

  • Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

    Willem-Jan van Hoeve;John N. Hooker

  • Planning and Scheduling by Logic-Based Benders Decomposition

    J. N. Hooker

  • Integrated Methods for Optimization

    John N. Hooker

  • Needed: An Empirical Science of Algorithms

    John N. Hooker

  • A quantitative approach to logical inference

    J. N. Hooker

  • Branching Rules for Satisfiability

    John N. Hooker;V. Vinay

  • Mixed logical-linear programming

    J. N. Hooker;M. A. Osorio

  • Logic, Optimization, and Constraint Programming

    John N. Hooker

  • Logic-Based Methods for Optimization

    John N. Hooker

  • Optimization Methods for Logical Inference

    Vijay Chandru;John Hooker

  • Resolution vs. cutting plane solution of inference problems: Some computational experience

    J. N. Hooker

  • A constraint store based on multivalued decision diagrams

    H. R. Andersen;T. Hadzic;J. N. Hooker;P. Tiedemann

  • A hybrid method for planning and scheduling

    John N. Hooker

  • Solving the incremental satisfiability problem

    J. N. Hooker

  • Extended Horn sets in propositional logic

    V. Chandru;J. N. Hooker

  • Logic-Based Methods for Optimization: A Tutorial

    J.N. Hooker

Frequent Co-Authors

Thomas Donaldson
Thomas Donaldson University of Pennsylvania
Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Iiro Harjunkoski
Iiro Harjunkoski Aalto University
Peter L. Hammer
Peter L. Hammer Rutgers, The State University of New Jersey
Jonathan Cagan
Jonathan Cagan Carnegie Mellon University
Christos T. Maravelias
Christos T. Maravelias Princeton University
Alan Scheller-Wolf
Alan Scheller-Wolf Carnegie Mellon University
Yves Crama
Yves Crama University of Liège
Pedro M. Castro
Pedro M. Castro University of Lisbon
David L. Greene
David L. Greene University of Tennessee at Knoxville

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

For students exploring Mathematics in the USA, expanding into interdisciplinary fields can enhance career prospects. Many graduates consider combining their strong analytical skills with business acumen by pursuing a masters in marketing. This path merges quantitative reasoning with market strategy to open up roles in marketing analytics and consumer insights.

Alternatively, accelerating leadership skills through year long MBA programs can be a strategic move. These intensive programs equip students with essential management expertise in a condensed timeframe, ideal for those seeking rapid career advancement.

Flexibility is also key; many universities offer online MBA programs that accept transfer credits. This option allows students to leverage previous coursework, reducing both the time and cost needed to complete their degree.

For a focus closer to mathematics, data analytics masters programs are increasingly popular. These programs emphasize data-driven decision-making and offer strong job market potential in sectors ranging from finance to healthcare.

Best Scientists Citing John N. Hooker

Trending Scientists

Recently Published Articles