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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 70 2213 2016 1288 1146 136 58341

Michelene T. H. Chi publications per year

The chart shows the history of publications by Michelene T. H. Chi between 1972 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michelene T. H. Chi published across 50 years, from 1972 to 2021, averaging 2.9 papers a year. Output peaked at 16 publications in 2014. 7 of the 147 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1972 to 2021. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2014. 1972: 1 publication 1973: 0 publications 1974: 0 publications 1975: 1 publication 1976: 2 publications 1977: 3 publications 1978: 1 publication 1979: 2 publications 1980: 1 publication 1981: 3 publications 1982: 1 publication 1983: 7 publications 1984: 0 publications 1985: 2 publications 1986: 2 publications 1987: 3 publications 1988: 3 publications 1989: 5 publications 1990: 1 publication 1991: 3 publications 1992: 2 publications 1993: 2 publications 1994: 3 publications 1995: 2 publications 1996: 2 publications 1997: 3 publications 1998: 1 publication 1999: 0 publications 2000: 3 publications 2001: 1 publication 2002: 4 publications 2003: 4 publications 2004: 3 publications 2005: 3 publications 2006: 7 publications 2007: 2 publications 2008: 4 publications 2009: 4 publications 2010: 4 publications 2011: 6 publications 2012: 5 publications 2013: 3 publications 2014: 16 publications 2015: 1 publication 2016: 1 publication 2017: 3 publications 2018: 7 publications 2019: 3 publications 2020: 4 publications 2021: 3 publications
1972 2021

147 publications in total across all disciplines

View publications per year as a table
Michelene T. H. Chi: publications per year, 1972 to 2021
Year Publications
1972 1
1973 0
1974 0
1975 1
1976 2
1977 3
1978 1
1979 2
1980 1
1981 3
1982 1
1983 7
1984 0
1985 2
1986 2
1987 3
1988 3
1989 5
1990 1
1991 3
1992 2
1993 2
1994 3
1995 2
1996 2
1997 3
1998 1
1999 0
2000 3
2001 1
2002 4
2003 4
2004 3
2005 3
2006 7
2007 2
2008 4
2009 4
2010 4
2011 6
2012 5
2013 3
2014 16
2015 1
2016 1
2017 3
2018 7
2019 3
2020 4
2021 3
Total 147
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Michelene T. H. Chi 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 Michelene T. H. Chi sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 69 bars. Horizontal axis: publications, 31–40 to 705+. Vertical axis: number of scientists, 0 to 736. Most scientists, 736, have 101–110 publications. The last bar groups every scientist with 705 publications or more. The highlighted bar, 131–140 publications, is where this scientist sits. 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
31–40 publications 705+

This scientist: 136 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Psychology scientists by publication count, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
Publications Scientists This scientist
31–40 6
41–50 52
51–60 138
61–70 299
71–80 461
81–90 605
91–100 713
101–110 736
111–120 686
121–130 670
131–140 644 136
141–150 597
151–160 576
161–170 477
171–180 450
181–190 397
191–200 343
201–210 328
211–220 313
221–230 283
231–240 226
241–250 196
251–260 201
261–270 171
271–280 151
281–290 139
291–300 113
301–310 102
311–320 100
321–330 76
331–340 92
341–350 85
351–360 69
361–370 71
371–380 63
381–390 58
391–400 57
401–410 43
411–420 33
421–430 50
431–440 41
441–450 32
451–460 27
461–470 28
471–480 25
481–490 28
491–500 20
501–510 23
511–520 26
521–530 17
531–540 21
541–550 14
551–560 16
561–570 10
571–580 22
581–590 9
591–600 14
601–610 9
611–620 11
621–630 4
631–640 7
641–650 5
651–660 10
661–670 8
671–680 8
681–690 4
691–700 3
701–704 4
705+ 100
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Michelene T. H. Chi 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 Michelene T. H. Chi sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 58 bars. Horizontal axis: D-Index, 30–31 to 144+. Vertical axis: number of scientists, 0 to 702. Most scientists, 702, have 32–33 D-Index. The last bar groups every scientist with 144 D-Index or more. The highlighted bar, 70–71 D-Index, is where this scientist sits. 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
30–31 D-Index 144+

This scientist: 70 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Psychology scientists by D-index, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
D-Index Scientists This scientist
30–31 398
32–33 702
34–35 671
36–37 659
38–39 641
40–41 671
42–43 617
44–45 558
46–47 495
48–49 487
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325
60–61 321
62–63 248
64–65 290
66–67 218
68–69 219
70–71 215 70
72–73 183
74–75 169
76–77 132
78–79 137
80–81 120
82–83 112
84–85 86
86–87 101
88–89 83
90–91 77
92–93 70
94–95 78
96–97 58
98–99 53
100–101 57
102–103 48
104–105 53
106–107 46
108–109 24
110–111 35
112–113 27
114–115 32
116–117 31
118–119 22
120–121 16
122–123 24
124–125 18
126–127 11
128–129 19
130–131 10
132–133 16
134–135 10
136–137 12
138–139 8
140–141 5
142–143 12
144+ 98
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Research.com Recognitions

  • 2019 - David E. Rumelhart Prize for Contributions to the Theoretical Foundations of Human Cognition
  • 2016 - Distinguished Contributions to Research in Education Award, American Educational Research Association
  • 2016 - Fellow of the American Academy of Arts and Sciences
  • 2015 - E. L. Thorndike Award, American Psychological Association
  • 2013 - Fellow of the American Educational Research Association

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Cognitive psychology
  • Statistics

His primary scientific interests are in Cognitive psychology, Cognitive science, Social psychology, Comprehension and Conceptual change. His work on Self explanation as part of general Cognitive psychology research is often related to Mental model, thus linking different fields of science. His research investigates the connection between Cognitive science and topics such as Cognitive development that intersect with problems in Childhood development, Child development and Control.

His study looks at the intersection of Social psychology and topics like Active learning with Note-taking. He interconnects Variation, Categorization, Artificial intelligence, Mathematics education and Knowledge building in the investigation of issues within Comprehension. His Categorization research is multidisciplinary, incorporating elements of Matching, Perception and Literal.

His most cited work include:

  • Categorization and Representation of Physics Problems by Experts and Novices (4193 citations)
  • Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems (2233 citations)
  • The Nature of Expertise (2070 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Mathematics education, Cognitive psychology, Cognitive science, Pedagogy and Social psychology. Collaborative learning is closely connected to Context in his research, which is encompassed under the umbrella topic of Mathematics education. His Cognitive psychology research includes elements of Conceptual change and Reading.

His study on Cognitive science also encompasses disciplines like

  • Cognitive development which connect with Child development and Knowledge base,
  • Knowledge level that connect with fields like Descriptive knowledge. His Self explanation research integrates issues from Concept learning, Cognitive style and Comprehension. His Representation research is multidisciplinary, relying on both Developmental psychology and Categorization.

He most often published in these fields:

  • Mathematics education (27.64%)
  • Cognitive psychology (21.95%)
  • Cognitive science (12.20%)

What were the highlights of his more recent work (between 2008-2021)?

  • Mathematics education (27.64%)
  • Constructive (9.76%)
  • Cognitive psychology (21.95%)

In recent papers he was focusing on the following fields of study:

Mathematics education, Constructive, Cognitive psychology, Active learning and Pedagogy are his primary areas of study. His Mathematics education study deals with Context intersecting with Generative grammar and Educational measurement. His Self explanation study, which is part of a larger body of work in Cognitive psychology, is frequently linked to Mental model and Structure, bridging the gap between disciplines.

His work in Self explanation addresses issues such as Semantic similarity, which are connected to fields such as Formative assessment and Comprehension. His Comprehension research integrates issues from Mental calculation and Artificial intelligence. His Active learning research incorporates elements of Social psychology, Flexibility, Learning theory, Experiential learning and Collaborative learning.

Between 2008 and 2021, his most popular works were:

  • The Nature of Expertise (2070 citations)
  • Active‐Constructive‐Interactive: A Conceptual Framework for Differentiating Learning Activities (749 citations)
  • The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes (572 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Cognitive psychology
  • Statistics

His primary areas of investigation include Cognitive psychology, Active learning, Experiential learning, Constructive and Mathematics education. His research in Cognitive psychology intersects with topics in Conceptual change and Communication. His work on Learning sciences as part of general Experiential learning research is frequently linked to Domain, bridging the gap between disciplines.

His research integrates issues of Mental calculation and Artificial intelligence in his study of Mathematics education. His work in Self explanation covers topics such as Test which are related to areas like Concept learning. His biological study spans a wide range of topics, including Attribution, Comprehension, Teaching method, Cognitive science and Schema.

Best Publications

  • Categorization and Representation of Physics Problems by Experts and Novices

    Michelene T. H. Chi;Paul J. Feltovich;Robert Glaser

  • Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems

    Michelene T.H. Chi;Miriam Bassok;Matthew W. Lewis;Peter Reimann

  • The Nature of Expertise

    Michelene T.H. Chi;Robert Glaser;Marshall J. Farr

  • Eliciting Self‐Explanations Improves Understanding

    Michelene T.H. Chi;Nicholas De Leeuw;Mei Hung Chiu;Christian Lavancher

  • The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes.

    Michelene T. H. Chi;Ruth Wylie

  • Quantifying Qualitative Analyses of Verbal Data: A Practical Guide

    Michelene T.H. Chi

  • Expertise in Problem Solving.

    Michelene T H Chi;Robert Glaser;Ernest Rees

  • Active‐Constructive‐Interactive: A Conceptual Framework for Differentiating Learning Activities

    Michelene T. H. Chi

  • From things to processes: A theory of conceptual change for learning science concepts

    Michelene T.H. Chi;James D. Slotta;Nicholas De Leeuw

  • Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems

    Unknown

  • Learning from human tutoring

    Michelene T.H. Chi;Stephanie A. Siler;Heisawn Jeong;Takashi Yamauchi

  • Commonsense Conceptions of Emergent Processes: Why Some Misconceptions Are Robust.

    Michelene T. H. Chi

  • Two Approaches to the Study of Experts' Characteristics

    Michelene T. H. Chi

  • Three Types of Conceptual Change: Belief Revision, Mental Model Transformation, and Categorical Shift

    Michelene T. H. Chi

  • Knowledge structures and memory development.

    Michelene T. H. Chi

  • Understanding Tutor Learning: Knowledge-Building and Knowledge-Telling in Peer Tutors’ Explanations and Questions:

    Rod D. Roscoe;Michelene T. H. Chi

  • Network representation of a child's dinosaur knowledge

    Michelene T. H. Chi;Randi Daimon Koeske

  • THE PROCESSES AND CHALLENGES OF CONCEPTUAL CHANGE

    Michelene T. H. Chi;Rod D. Roscoe

  • Conceptual Change within and across Ontological Categories: Examples from Learning and Discovery in Science

    M. T. H. Chi

  • Content knowledge: its role, representation, and restructuring in memory development.

    Michelene T.H. Chi;Stephen J. Ceci

  • Self-Explanations: How Students Study and Use Examples in Learning To Solve Problems. Technical Report No. 9.

    Michelene T. H. Chi

Frequent Co-Authors

Robert Glaser
Robert Glaser University of Pittsburgh
Kurt VanLehn
Kurt VanLehn Arizona State University
Sara E. Brownell
Sara E. Brownell Arizona State University
Paul J. Feltovich
Paul J. Feltovich Florida Institute for Human and Machine Cognition
Marti A. Hearst
Marti A. Hearst University of California, Berkeley
Armando Fox
Armando Fox University of California, Berkeley
Stellan Ohlsson
Stellan Ohlsson University of Illinois at Chicago
Stephen J. Ceci
Stephen J. Ceci Cornell University
Robert Kail
Robert Kail Purdue University West Lafayette
Tania Lombrozo
Tania Lombrozo Princeton University

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