2026 Marcia C. Linn: Psychology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Psychology	87	1070	939	661	566	287	38004

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

4603
Citations
Gender differences in verbal ability: A meta-analysis.

Janet Shibley Hyde;Marcia C. Linn

2356
Citations
Cross-National Patterns of Gender Differences in Mathematics: A Meta-Analysis.

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

2144
Citations
Gender Similarities Characterize Math Performance

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

1589
Citations
New Trends in Gender and Mathematics Performance: A Meta-Analysis

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

1249
Citations
Physical and Virtual Laboratories in Science and Engineering Education

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

1170
Citations
Scientific arguments as learning artifacts: designing for learning from the web with KIE

Philip Bell;Marcia C. Linn

1101
Citations
Gender, Mathematics, and Science

Marcia C. Linn;Janet S. Hyde

968
Citations
Undergraduate research experiences: Impacts and opportunities

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

930
Citations
Computers, Teachers, Peers: Science Learning Partners

Marcia C. Linn;Sherry Hsi

922
Citations
How do students' views of science influence knowledge integration?

Nancy Butler Songer;Marcia C. Linn

866
Citations
Motivating Children to Learn Effectively: Exploring the Value of Intrinsic Integration in Educational Games

M. P. Jacob Habgood;Shaaron E. Ainsworth

816
Citations
Internet Environments for Science Education

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

809
Citations
Scaffolding students' knowledge integration: prompts for reflection in KIE

Elizabeth A. Davis;Marcia C. Linn

766
Citations
Learning and Instruction: An Examination of Four Research Perspectives in Science Education

Bat-Sheva Eylon;Marcia C. Linn

669
Citations
WISE design for knowledge integration

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

659
Citations
Women's Representation in Science Predicts National Gender-Science Stereotypes: Evidence from 66 Nations.

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

607
Citations
The Psychology of gender : advances through meta-analysis

Janet Shibley Hyde;Marcia C. Linn

501
Citations
Science Learning and Instruction: Taking Advantage of Technology to Promote Knowledge Integration

Marcia C. Linn;Bat-Sheva Eylon

460
Citations
Gender Similarities in Mathematics and Science

Janet Shibley Hyde;Marcia C. Linn

445
Citations
Designing the Knowledge Integration Environment

Marcia C. Linn

440
Citations
Cross-National Patterns of Gender Differences in Mathematics:

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

94
Citations

Frequent Co-Authors

Ou Lydia Liu Princeton University

Douglas B. Clark University of Calgary

Janet Shibley Hyde University of Wisconsin–Madison

Elizabeth A. Davis University of Michigan–Ann Arbor

Roy D. Pea Stanford University

Kevin L. Delucchi University of California, San Francisco

Frank Fischer Ludwig-Maximilians-Universität München

Lieven Verschaffel KU Leuven

Rita R. Colwell University of Maryland, College Park

Mildred S. Dresselhaus MIT

External Links

Wikipedia of Marcia C. Linn Personal website of Marcia C. Linn Google Scholar page

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