World's Best Scientists 2026 revealed!

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Computer Science

D-Index
60
Citations
29754
World Ranking
3156
National Ranking
1528

Overview

Bruce G. Buchanan is affiliated with the University of Pittsburgh in the United States. Their research spans across environmental science and economics, econometrics, and finance, with a focus on management, monitoring, policy, and law.

The scientist has contributed to studies in several interconnected subfields, such as:

  • Management, Monitoring, Policy and Law
  • Economics and Econometrics
  • Sociology and Political Science
  • General Health Professions

Key research topics addressed in their work include:

  • Coastal and Marine Management
  • International Maritime Law Issues
  • Arctic and Russian Policy Studies
  • Healthcare Policy and Management
  • Global Health Care Issues
  • Health Systems, Economic Evaluations, Quality of Life

Bruce G. Buchanan's recent publications demonstrate engagement with issues spanning from maritime policy to healthcare economics. Notable papers include:

  • "Multi-Use of the Sea as a Sustainable Development Instrument in Five EU Sea Basins," published in 2021 in Sustainability
  • "Reference Based Pricing for Employee Healthcare Needs," published in 2023 in the International Journal of Economics Business and Management Research

The scientist frequently collaborates with other researchers, including:

  • Joanna Przedrzymirska
  • Jacek Zaucha
  • Helena Calado
  • Ivana Lukić
  • Martina Bocci

Their work appears primarily in the journals Sustainability and the International Journal of Economics Business and Management Research, indicating a focus on interdisciplinary approaches bridging environmental and economic perspectives.

Best Publications

  • Rule-based expert systems : the MYCIN experiments of the Stanford Heuristic Programming Project

    Bruce G. Buchanan;Edward Hance Shortliffe

  • Rule-Based Expert Systems

    Bruce G. Buchanan;Edward H. Shortliffe;Barclay Adams;John J. Osborn

  • A model of inexact reasoning in medicine

    E. H. Shortliffe;B. G. Buchanan

  • A simple algorithm for identifying negated findings and diseases in discharge summaries

    Wendy Webber Chapman;Will Bridewell;Paul Hanbury;Gregory F. Cooper

  • Production rules as a representation for a knowledge-based consultation program

    Randall Davis;Bruce Buchanan;Edward Shortliffe

  • Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)

    Bruce G. Buchanan;Edward H. Shortliffe

  • DENDRAL and Meta-DENDRAL: their applications dimension

    Bruce G. Buchanan;Edward A. Feigenbaum

  • A (Very) Brief History of Artificial Intelligence

    Bruce G. Buchanan

  • Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system.

    Edward H. Shortliffe;Randall Davis;Stanton G. Axline;Bruce G. Buchanan

  • Physicians' information needs: analysis of questions posed during clinical teaching.

    Jerome A. Osheroff;Diana E. Forsythe;Bruce G. Buchanan;Richard A. Bankowitz

  • Knowledge engineering for medical decision making: A review of computer-based clinical decision aids

    E.H. Shortliffe;B.G. Buchanan;E.A. Feigenbaum

  • On generality and problem solving: a case study using the DENDRAL program

    Edward A. Feigenbaum;Bruce G. Buchanan;Joshua Lederberg

  • Antimicrobial selection by a computer, A blinded evaluation by infectious diseases experts.

    Yu Vl;Fagan Lm;Wraith Sm;Clancey Wj

  • DENDRAL: a case study of the first expert system for scientific hypothesis formation

    Robert K. Lindsay;Bruce G. Buchanan;Edward A. Feigenbaum

  • Principles of rule-based expert systems

    Bruce G. Buchanan;Richard O. Duda

  • MODEL-DIRECTED LEARNING OF PRODUCTION RULES1

    Bruce G. Buchanan;Tom M. Mitchell

  • Expanding the concept of medical information: an observational study of physicians' information needs

    Diana E. Forsythe;Bruce G. Buchanan;Jerome A. Osheroff;Randolph A. Miller

  • An artificial intelligence program to advise physicians regarding antimicrobial therapy.

    Edward H. Shortliffe;Stanton G. Axline;Bruce G. Buchanan;Thomas C. Merigan

  • An Evaluation of Machine-Learning Methods for Predicting Pneumonia Mortality

    Gregory F. Cooper;Constantin F. Aliferis;Richard Ambrosino;John M. Aronis

  • Fundamentals of expert systems

    Bruce G. Buchanan;Reid G. Smith

  • Applications of artificial intelligence for chemical inference. I. Number of possible organic compounds. Acyclic structures containing carbon, hydrogen, oxygen, and nitrogen

    Joshua Lederberg;Georgia L. Sutherland;Bruce G. Buchanan;Edward A. Feigenbaum

Frequent Co-Authors

Edward A. Feigenbaum
Edward A. Feigenbaum Stanford University
Joshua Lederberg
Joshua Lederberg Rockefeller University
Edward H. Shortliffe
Edward H. Shortliffe Columbia University
Gregory F. Cooper
Gregory F. Cooper University of Pittsburgh
William J. Clancey
William J. Clancey Florida Institute for Human and Machine Cognition
Tom M. Mitchell
Tom M. Mitchell Carnegie Mellon University
Russ B. Altman
Russ B. Altman Stanford University
Barbara Hayes-Roth
Barbara Hayes-Roth RAND Corporation
Stanley N. Cohen
Stanley N. Cohen Stanford University

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