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D-Index & Metrics

Psychology

D-Index
74
Citations
32153
World Ranking
1836
National Ranking
97

Philip H. Winne publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Philip H. Winne sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 224 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Philip H. Winne D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Philip H. Winne sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 74 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Research.com Recognitions

  • 2008 - Fellow of the American Educational Research Association
  • 1985 - Fellow of the American Psychological Association (APA)

Overview

Philip H. Winne is a researcher affiliated with Simon Fraser University in Canada. Their work spans several fields including Psychology, Computer Science, and Social Sciences, with a substantial focus on Developmental and Educational Psychology, Artificial Intelligence, Education, Computer Science Applications, and Experimental and Cognitive Psychology.

Their research primarily targets Innovative Teaching and Learning Methods, Intelligent Tutoring Systems and Adaptive Learning, Online Learning and Analytics, Online and Blended Learning, Educational Strategies and Epistemologies, Visual and Cognitive Learning Processes, and Topic Modeling.

Philip H. Winne has contributed to a range of scientific publications, with notable recent papers including:

  • Construct and consequential validity for learning analytics based on trace data (2020, Computers in Human Behavior)
  • Modeling self-regulated learning as learners doing learning science: How trace data and learning analytics help develop skills for self-regulated learning (2022, Metacognition and Learning)
  • A Proposed Remedy for Grievances about Self-Report Methodologies (2020, Frontline Learning Research)
  • Open Learner Models Working in Symbiosis With Self-Regulating Learners: A Research Agenda (2020, International Journal of Artificial Intelligence in Education)

The researcher frequently publishes in venues such as Frontiers in Education, Journal of Computer Assisted Learning, Computers in Human Behavior, Metacognition and Learning, and Computers & Education.

Collaboration has been an essential part of their work, with frequent co-authors including John C. Nesbit, Mari Fukuda, Arita L. Liu, Teeba Obaid, and Mladen Raković.

Philip H. Winne has been recognized with fellowships from significant professional organizations such as the American Educational Research Association in 2008 and the American Psychological Association (APA) in 1985.

Best Publications

  • Feedback and Self-Regulated Learning: A Theoretical Synthesis

    Deborah L. Butler;Philip H. Winne

  • Studying as self-regulated learning.

    Philip H. Winne;Allyson E Hadwin

  • Improving Measurements of Self-Regulated Learning

    Philip H. Winne

  • Measuring Self-Regulated Learning

    Philip H. Winne;Nancy E. Perry

  • The weave of motivation and self-regulated learning.

    Philip H. Winne;Allyson F. Hadwin

  • Inherent details in self-regulated learning

    Philip H. Winne

  • Self-regulated learning viewed from models of information processing.

    Philip H. Winne

  • A metacognitive view of individual differences in self-regulated learning

    Philip H. Winne

  • Exploring students’ calibration of self reports about study tactics and achievement

    Philip H Winne;Dianne Jamieson-Noel

  • Experimenting to Bootstrap Self-Regulated Learning

    Philip H. Winne

  • Handbook of educational psychology

    Patricia A. Alexander;Philip H. Winne

  • The Psychology of Academic Achievement

    Philip H. Winne;John C. Nesbit

  • Experiments Relating Teachers’ Use of Higher Cognitive Questions to Student Achievement

    Philip H. Winne

  • A Cognitive and Metacognitive Analysis of Self-Regulated Learning

    Philip H. Winne

  • Context moderates students' self-reports about how they study

    Allyson Fiona Hadwin;Philip H. Winne;Denise B. Stockley;John C. Nesbit

  • Examining trace data to explore self-regulated learning

    Allyson F. Hadwin;John C. Nesbit;Dianne Jamieson-Noel;Jillianne Code

  • Students' and Teachers' Views of Thinking Processes for Classroom Learning.

    Philip H. Winne;Ronald W. Marx

  • Learning from Learning Kits: gStudy Traces of Students' Self-Regulated Engagements with Computerized Content.

    Nancy E. Perry;Philip H. Winne

  • A perspective on state-of-the-art research on self-regulated learning

    Philip H. Winne

  • CoNoteS2: A Software Tool for Promoting Self-Regulation

    Allyson Fiona Hadwin;Philip H. Winne

  • Complementary methods for research in education

    Philip H. Winne

Frequent Co-Authors

Patricia A. Alexander
Patricia A. Alexander University of Maryland, College Park
Allyson F. Hadwin
Allyson F. Hadwin University of Victoria
Ronald W. Marx
Ronald W. Marx University of Arizona
Krista R. Muis
Krista R. Muis McGill University
Gale M. Sinatra
Gale M. Sinatra University of Southern California
Reinhard Pekrun
Reinhard Pekrun Australian Catholic University
Lucia Mason
Lucia Mason University of Padua
Roger Azevedo
Roger Azevedo University of Central Florida
Eileen Wood
Eileen Wood Wilfrid Laurier University
Richard E. Mayer
Richard E. Mayer University of California, Santa Barbara

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