World's Best Scientists 2026 revealed!
Brian R. Gaines

Brian R. Gaines

D-Index & Metrics

Computer Science

D-Index
52
Citations
10616
World Ranking
5093
National Ranking
199

Brian R. Gaines publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Brian R. Gaines sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Brian R. Gaines D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Brian R. Gaines sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Joan N. Vickers
Joan N. Vickers University of Calgary
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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