World's Best Scientists 2026 revealed!
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Social Sciences and Humanities
USA
2025

D-Index & Metrics

Psychology

D-Index
87
Citations
38004
World Ranking
1069
National Ranking
661

Marcia C. Linn 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 Marcia C. Linn 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: 287 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Marcia C. Linn 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 Marcia C. Linn 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: 87 D-Index — 91st percentile

91% 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

  • 2025 - Research.com Social Sciences and Humanities in United States Leader Award
  • 2010 - Fellow of the American Psychological Association (APA)
  • 2008 - Fellow of the American Educational Research Association
  • 1994 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Marcia C. Linn is affiliated with the University of California, Berkeley, in the United States. Their scholarly work spans multiple intersecting fields including Social Sciences, Psychology, and Computer Science, with a total of 30 publications in social sciences, 23 in psychology, and 21 in computer science.

Their main subfields of study involve Education and Developmental and Educational Psychology, supported by 27 and 23 publications respectively. Additional research interests include Computer Science Applications, Artificial Intelligence, and Information Systems.

The scientist's work addresses various topics, particularly Innovative Teaching and Learning Methods and Science Education and Pedagogy, with 30 and 16 publications respectively. Other areas of focus include Educational Strategies and Epistemologies, Education and Critical Thinking Development, Online Learning and Analytics, Intelligent Tutoring Systems and Adaptive Learning, and E-Learning and Knowledge Management.

Marcia C. Linn has contributed research papers to several prominent venues. Notable publication venues with multiple papers include:

  • Proceedings.
  • Journal of Science Education and Technology
  • Educational Research Review
  • British Journal of Educational Technology
  • Instructional Science

Recent papers demonstrate a focus on combining instructional approaches, computer-based learning support, and personalized instruction design:

  • "Let's talk evidence - The case for combining inquiry-based and direct instruction" (2023) published in Educational Research Review
  • "Computer-based guidance to support students' revision of their science explanations" (2021) published in Computers & Education
  • "Self-directed Science Learning During COVID-19 and Beyond" (2021) published in Journal of Science Education and Technology
  • "Designing personalised instruction: A research and design framework" (2021) published in British Journal of Educational Technology
  • "Supporting Teachers to Customize Curriculum for Self-Directed Learning" (2022) published in Journal of Science Education and Technology

The scientist frequently collaborates with other researchers. Their principal co-authors include Libby Gerard, Allison Bradford, Korah Wiley, Brian Riordan, and Jonathan Lim-Breitbart, denoting ongoing research partnerships across multiple projects.

Marcia C. Linn has been recognized by major professional associations. Awards received include Fellowships from the American Psychological Association (APA) in 2010, the American Educational Research Association in 2008, and the American Association for the Advancement of Science (AAAS) in 1994.

Best Publications

  • Emergence and characterization of sex differences in spatial ability: a meta-analysis.

    Marcia C. Linn;Anne C. Petersen

  • Gender differences in verbal ability: A meta-analysis.

    Janet Shibley Hyde;Marcia C. Linn

  • Cross-National Patterns of Gender Differences in Mathematics: A Meta-Analysis.

    Nicole M. Else-Quest;Janet Shibley Hyde;Marcia C. Linn

  • Gender Similarities Characterize Math Performance

    Janet S. Hyde;Sara M. Lindberg;Marcia C. Linn;Amy B. Ellis

  • New Trends in Gender and Mathematics Performance: A Meta-Analysis

    Sara M. Lindberg;Janet Shibley Hyde;Jennifer L. Petersen;Marcia C. Linn

  • Physical and Virtual Laboratories in Science and Engineering Education

    Ton de Jong;Marcia C. Linn;Zacharias C. Zacharia

  • Scientific arguments as learning artifacts: designing for learning from the web with KIE

    Philip Bell;Marcia C. Linn

  • Gender, Mathematics, and Science

    Marcia C. Linn;Janet S. Hyde

  • Undergraduate research experiences: Impacts and opportunities

    Marcia C. Linn;Erin Palmer;Anne Baranger;Elizabeth Gerard

  • Computers, Teachers, Peers: Science Learning Partners

    Marcia C. Linn;Sherry Hsi

  • How do students' views of science influence knowledge integration?

    Nancy Butler Songer;Marcia C. Linn

  • Motivating Children to Learn Effectively: Exploring the Value of Intrinsic Integration in Educational Games

    M. P. Jacob Habgood;Shaaron E. Ainsworth

  • Internet Environments for Science Education

    Marcia C. Linn;Elizabeth A. Davis;Philip Bell

  • Scaffolding students' knowledge integration: prompts for reflection in KIE

    Elizabeth A. Davis;Marcia C. Linn

  • Learning and Instruction: An Examination of Four Research Perspectives in Science Education

    Bat-Sheva Eylon;Marcia C. Linn

  • WISE design for knowledge integration

    Marcia C. Linn;Douglas Clark;James D. Slotta

  • Women's Representation in Science Predicts National Gender-Science Stereotypes: Evidence from 66 Nations.

    David I. Miller;Alice H. Eagly;Marcia C. Linn

  • The Psychology of gender : advances through meta-analysis

    Janet Shibley Hyde;Marcia C. Linn

  • Science Learning and Instruction: Taking Advantage of Technology to Promote Knowledge Integration

    Marcia C. Linn;Bat-Sheva Eylon

  • Gender Similarities in Mathematics and Science

    Janet Shibley Hyde;Marcia C. Linn

  • Designing the Knowledge Integration Environment

    Marcia C. Linn

  • Cross-National Patterns of Gender Differences in Mathematics:

    Nicole M. Else-Quest;Janet Shibley Hyde;Marcia C. Linn

Frequent Co-Authors

Ou Lydia Liu
Ou Lydia Liu Princeton University
Douglas B. Clark
Douglas B. Clark University of Calgary
Janet Shibley Hyde
Janet Shibley Hyde University of Wisconsin–Madison
Elizabeth A. Davis
Elizabeth A. Davis University of Michigan–Ann Arbor
Roy D. Pea
Roy D. Pea Stanford University
Rafi Nachmias
Rafi Nachmias Tel Aviv University
Kevin L. Delucchi
Kevin L. Delucchi University of California, San Francisco
Frank Fischer
Frank Fischer Ludwig-Maximilians-Universität München
Rita R. Colwell
Rita R. Colwell University of Maryland, College Park

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