World's Best Scientists 2026 revealed!
Ronald J. Brachman

Ronald J. Brachman

D-Index & Metrics

Computer Science

D-Index
30
Citations
10450
World Ranking
13822
National Ranking
5491

Research.com Recognitions

  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1999 - ACM Fellow For sustained and influential contributions to the field of artificial intelligence through innovative technical work, successful industrial applications, research leadership, and dedication to the community.
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)

Overview

Ronald J. Brachman is affiliated with Cornell University in the United States and specializes in the field of computer science, with a focus on artificial intelligence. Their research contributions span various subfields including safety research and have addressed topics such as AI-based problem solving and planning, logic, reasoning and knowledge, semantic web and ontologies, as well as ethics and social impacts of AI.

The scientist's recent publications include the paper titled Toward a New Science of Common Sense, published in 2022 in the Proceedings of the AAAI Conference on Artificial Intelligence, and an earlier version of the same work published in 2021 on arXiv (Cornell University). These papers have attracted citations reflecting their engagement in advancing common-sense reasoning within AI research.

Frequent collaborators in their work include Hector J. Levesque, with whom they have co-authored multiple papers. Additionally, their work has been published mainly in venues such as:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • arXiv (Cornell University)

Ronald J. Brachman's contributions extend to book publications, notably through The MIT Press with the book Machines like Us, published in 2022.

The scientist's recognition in the academic community includes several fellowships:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2018
  • ACM Fellow, 1999, for sustained and influential contributions to the field of artificial intelligence through innovative technical work, successful industrial applications, research leadership, and dedication to the community
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 1990

Best Publications

  • CLASSIC: a structural data model for objects

    Alexander Borgida;Ronald J. Brachman;Deborah L. McGuinness;Lori Alperin Resnick

  • LIVING WITH CLASSIC: When and How to Use a KL-ONE-Like Language

    Ronald J. Brachman;Deborah L. McGuinness;Peter F. Patel-Schneider;Lori Alperin Resnick

  • LaSSIE: a knowledge-based software information system

    Prem Devanbu;Ron Brachman;Peter G. Selfridge;Bruce W. Ballard

  • An Introduction to Description Logic

    Daniele Nardi;Ronald J. Brachman

  • Expressiveness and tractability in knowledge representation and reasoning

    Hector J. Levesque;Ronald J. Brachman

  • Mining business databases

    Ronald J. Brachman;Tom Khabaza;Willi Kloesgen;Gregory Piatetsky-Shapiro

  • An essential hybrid reasoning system: knowledge and symbol level accounts of KRYPTON

    Ronald J. Brachman;Victoria Pigman Gilbert;Hector J. Levesque

  • What's in a Concept: Structural Foundations for Semantic Networks

    Unknown

  • "I Lied About the Trees", Or, Defaults and Definitions in Knowledge Representation

    Unknown

  • Brief Application Description; Visual Data Mining: Recognizing Telephone Calling Fraud

    Kenneth C. Cox;Stephen G. Eick;Graham J. Wills;Ronald J. Brachman

  • Conceptual modeling with description logics

    Alex Borgida;Ronald J. Brachman

  • Loading data into description reasoners

    Alex Borgida;Ronald J. Brachman

  • Special issue on knowledge representation

    Unknown

  • Chapter 14 – Actions

    Ronald J. Brachman;Hector J. Levesque

  • “Reducing” CLASSIC to practice: knowledge representation theory meets reality

    Ronald J. Brachman;Deborah L. McGuinness;Peter F. Patel-Schneider;Alex Borgida

  • The Language of First-Order Logic

    Ronald J. Brachman;Hector J. Levesque

  • Research in Natural Language Understanding

    Unknown

  • Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning

    James Allen;Ronald J. Brachman;Erik Sandewall;Hector J. Levesque

  • Knowledge representation

    Ronald J. Brachman;Hector J. Levesque;Raymond Reiter

  • What makes a knowledge base knowledgeable? A view of databases from the knowledge level

    R J Brachman;H J Levesque

  • Knowledge representation, connectionism and conceptual retrieval

    R. J. Brachman;D. L. McGuinness

  • Knowledge level interfaces to information systems

    Hector Levesque;Ronald Brachman

  • The knowledge level of KBMS

    Ronald Brachman;Hector Levesque

  • Nonmonotonic reasoning in the framework of situation calculus

    Ronald J. Brachman;Hector J. Levesque;Raymond Reiter

Frequent Co-Authors

Hector J. Levesque
Hector J. Levesque University of Toronto
Alexander Borgida
Alexander Borgida Rutgers, The State University of New Jersey
Sihem Amer-Yahia
Sihem Amer-Yahia Grenoble Alpes University
Peter F. Patel-Schneider
Peter F. Patel-Schneider Palo Alto Research Center
Deborah L. McGuinness
Deborah L. McGuinness Rensselaer Polytechnic Institute
Daniele Nardi
Daniele Nardi Sapienza University of Rome

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 in the USA opens doors to diverse and promising career options. Many students also explore related fields and interdisciplinary programs to enhance their skillsets. Online education has made it easier to pursue these alternatives, often at a lower cost and with flexible schedules.

For those interested in sustainability and technology, an environmental engineering online degree combines computer science fundamentals with environmental problem-solving. Similarly, an online degree for mechanical engineering may benefit students drawn to robotics, manufacturing, or hardware design.

If you have a strong foundation in mathematics and enjoy analytical thinking, an online physics degree can be a solid pathway, connecting computational skills with scientific inquiry. Increasingly, many computer science graduates pursue data science careers; if affordability is a concern, you may want to explore what is the cheapest data science course in the us? to find budget-friendly online options.

Choosing the right online degree program can broaden your career horizons and help you specialize in emerging industries related to computer science.

Best Scientists Citing Ronald J. Brachman

Trending Scientists

Recently Published Articles