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Brian R. Gaines

Brian R. Gaines

D-Index & Metrics

Computer Science

D-Index
52
Citations
10616
World Ranking
5092
National Ranking
200

Overview

Brian R. Gaines is affiliated with the University of Victoria in Canada. Their research spans multiple interdisciplinary fields, primarily within computer science and psychology. The scientist's work includes contributions to both artificial intelligence and social psychology.

Their recent publications cover diverse topics related to neural computing, mentoring, and counseling. Notable papers include:

  • A Conceptual Framework for Stochastic Neuromorphic Computing, 2020, IEEE Design and Test
  • CES 2020, Team Module of University of Illinois (UIL), 2022, Harvard Dataverse
  • Supporting Black Women in Counselor Education Through Holistic Writing Retreats, 2025, Counselor Education and Supervision

The research topics Brian R. Gaines focuses on include advanced memory and neural computing, neural networks and applications, as well as neural networks and reservoir computing. Additionally, their work addresses mentoring and academic development, counseling practices and supervision, along with reflective practices in education.

Frequent coauthors collaborating with Brian R. Gaines include:

  • Cara Wong
  • Aleks Ksiazkiewicz
  • Aiesha T. Lee
  • Natoya Haskins
  • Galaxina G. Wright

Brian R. Gaines frequently publishes in the following venues:

  • IEEE Design and Test
  • Harvard Dataverse
  • Counselor Education and Supervision

The scientist's interdisciplinary approach bridges electrical and electronic engineering with education and psychology through contributions to specific subfields such as artificial intelligence and social psychology. This work engages with both theoretical and applied aspects of neural network technologies and educational methods in counseling.

Best Publications

  • Stochastic Computing Systems

    B. R. Gaines

  • Foundations of fuzzy reasoning

    B.R. Gaines

  • Fuzzy Reasonings and Its Applications

    E. H. Mamdani;B. R. Gaines

  • Fuzzy reasoning and its applications

    E. H. Mamdani;Brian R. Gaines

  • Fuzzy automata and decision processes

    Madan M. Gupta;George N. Saridis;Brian R. Gaines

  • Stochastic computing

    B. R. Gaines

  • Induction of ripple-down rules applied to modeling large databases

    B. R. Gaines;P. Compton

  • Knowledge acquisition tools based on personal construct psychology

    Brian R. Gaines;Mildred L. G. Shaw

  • Fuzzy sets and decision analysis

    H.-J. Zimmermann;Lotfi Asker Zadeh;Brian R. Gaines

  • Concept maps as hypermedia components

    Brian R. Gaines;Mildred L. G. Shaw

  • Fuzzy and probability uncertainty logics

    Brian R. Gaines

  • An overview of knowledge-acquisition and transfer

    B. R. Gaines

  • New directions in the analysis and interactive elicitation of personal construct systems

    Brian R. Gaines;Mildred L.G. Shaw

  • Comparing conceptual structures: consensus, conflict, correspondence and contrast

    Mildred L.G. Shaw;Brian R. Gaines

  • Knowledge acquisition for knowledge-based systems

    H. Motoda;R. Mizoguchi;J. Boose;B. Gaines

  • Eliciting knowledge and transferring it effectively to a knowledge-based system

    B.R. Gaines;M.L.G. Shaw

  • The fuzzy decade: a bibliography of fuzzy systems and closely related topics

    Brian R. Gaines;Ladislav J. Kohout

  • SYSTEM IDENTIFICATION, APPROXIMATION AND COMPLEXITY

    Brian R. Gaines

  • KITTEN: Knowledge initiation and transfer tools for experts and novices

    Unknown

  • Using different communication media in requirements negotiation

    D.E.H. Damian;A. Eberlein;M.L.G. Shaw;B.R. Gaines

  • The technology of interaction—dialogue programming rules

    Brian R. Gaines

  • Current Trends in Knowledge Acquisition

    B. Gaines;J. Boose;B. Wielinga

Frequent Co-Authors

Douglas H. Norrie
Douglas H. Norrie University of Calgary
Daniela Damian
Daniela Damian University of Victoria
Hans-Jürgen Zimmermann
Hans-Jürgen Zimmermann RWTH Aachen University
Hiroshi Motoda
Hiroshi Motoda Osaka University
Riichiro Mizoguchi
Riichiro Mizoguchi Japan Advanced Institute of Science and Technology
Ian H. Witten
Ian H. Witten University of Waikato
Lotfi A. Zadeh
Lotfi A. Zadeh University of California, Berkeley
Madan M. Gupta
Madan M. Gupta University of Saskatchewan

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