2026 Eugene C. Freuder: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	43	7838	7614	26	25	179	10582

Research.com Recognitions

2007 - Member of the Royal Irish Academy
2005 - Fellow of the American Association for the Advancement of Science (AAAS)
1995 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For fundamental and sustained contributions to the field of constraint-based reasoning.

Overview

Eugene C. Freuder is affiliated with University College Cork in Ireland. Their research spans several areas within computer science and medicine, focusing notably on constraint satisfaction and optimization, alongside topics related to bone health and cancer diagnosis and treatment.

Their published works include:

Classifier-based constraint acquisition, 2021, Annals of Mathematics and Artificial Intelligence
Conversational Modeling for Constraint Satisfaction, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
PTHG21 Challenge, 2021, Zenodo (CERN European Organization for Nuclear Research)
Replaceability and a simple substitutability hierarchy for constraint satisfaction problems, 2025, Journal of Experimental & Theoretical Artificial Intelligence

Frequent co-authors in their research include:

Helmut Simonis
Steven Prestwich
Barry O'Sullivan
David Browne
Richard J. Wallace

The main publication venues for their work are:

Zenodo (CERN European Organization for Nuclear Research)
Annals of Mathematics and Artificial Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence
Journal of Experimental & Theoretical Artificial Intelligence

Their scholarly output covers the following fields of study:

Computer Science
Medicine

Within these fields, notable subfields of research include:

Oncology
Computer Networks and Communications
Artificial Intelligence
Molecular Biology
Management Science and Operations Research

The main research topics addressed in their work are:

Constraint Satisfaction and Optimization
Bone health and treatments
Cancer Diagnosis and Treatment
Fibroblast Growth Factor Research
AI-based Problem Solving and Planning
Machine Learning and Algorithms
Speech and dialogue systems

Eugene C. Freuder has been recognized by multiple professional bodies, including:

Member of the Royal Irish Academy, 2007
Fellow of the American Association for the Advancement of Science (AAAS), 2005
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 1995, for fundamental and sustained contributions to the field of constraint-based reasoning

Best Publications

Partial constraint satisfaction

Eugene C. Freuder;Richard J. Wallace

1292
Citations
A Sufficient Condition for Backtrack-Free Search

Eugene C. Freuder

1076
Citations
The complexity of some polynomial network consistency algorithms for constraint satisfaction problems

Alan K. Mackworth;Eugene C. Freuder

946
Citations
Synthesizing constraint expressions

Eugene C. Freuder

891
Citations
Contradicting Conventional Wisdom in Constraint Satisfaction

Daniel Sabin;Eugene C. Freuder

704
Citations
A sufficient condition for backtrack-bounded search

Eugene C. Freuder

399
Citations
Eliminating interchangeable values in constraint satisfaction problems

Eugene C. Freuder

351
Citations
Configuration as Composite Constraint Satisfaction

Daniel Sabin;Eugene C. Freuder

316
Citations
Complexity of K-tree structured constraint satisfaction problems

Eugene C. Freuder

252
Citations
Constraint Satisfaction

Unknown

229
Citations
Taking advantage of stable sets of variables in constraint satisfaction problems

Eugene C. Freuder;Michael J. Quinn

199
Citations
Using inference to reduce arc consistency computation

Christian Bessiere;Eugene C. Freuder;Jean-Charles Regin

192
Citations
Partial constraint satisfaction

Eugene C. Freuder

161
Citations
Constraint-based reasoning

Eugene C. Freuder;Alan K. Mackworth

141
Citations
In Pursuit of the Holy Grail

Eugene C. Freuder

129
Citations
The Adaptive Constraint Engine

Susan L. Epstein;Eugene C. Freuder;Richard Wallace;Anton Morozov

128
Citations
Neighborhood inverse consistency preprocessing

Eugene C. Freuder;Charles D. Elfe

123
Citations
On forward checking for non-binary constraint satisfaction

Christian Bessière;Pedro Meseguer;Eugene C. Freuder;Javier Larrosa

123
Citations
Stable Solutions for Dynamic Constraint Satisfaction Problems

Richard J. Wallace;Eugene C. Freuder

120
Citations
Constraint Satisfaction: An Emerging Paradigm

Eugene C. Freuder;Alan K. Mackworth

113
Citations
Using Constraint Metaknowledge to Reduce Arc Consistency Computation

Unknown

112
Citations
Research Note On forward checking for non-binary constraint satisfaction ✩

Christian Bessière;Pedro Meseguer;Eugene C. Freuder;Javier Larrosa

0
Citations

Frequent Co-Authors

Alan K. Mackworth University of British Columbia

Christian Bessiere University of Montpellier

J. Christopher Beck University of Toronto

Francesca Rossi IBM (United States)

Boi Faltings École Polytechnique Fédérale de Lausanne

Gerhard Friedrich University of Klagenfurt

Sandip Sen University of Tulsa

Holly A. Yanco University of Massachusetts Lowell

Austin Tate University of Edinburgh

Maja J. Matarić University of Southern California

External Links

Personal website of Eugene C. Freuder Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online degrees offers flexible options for advancing your career in Computer Science and related fields. Many students start with an accelerated associates degree online to quickly build foundational skills and jumpstart their education.

Cost is a major factor. Selecting the cheapest online business management degree program can help reduce expenses while still providing essential business and tech knowledge that complements Computer Science.

Many online universities now offer bachelor’s programs with a wide range of specializations. This flexibility allows you to tailor your studies to specific technical or interdisciplinary interests.

If you’re interested in technical careers, consider online engineering degree programs. These programs provide rigorous training in problem-solving and innovation, opening doors to engineering and technology roles across industries.

By exploring these diverse online pathways, you can align your education with your career goals—often on your own schedule and at a lower cost.