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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Social Sciences and Humanities 38 5867 5448 2789 2544 143 7799

Richard Catrambone publications per year

The chart shows the history of publications by Richard Catrambone between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Richard Catrambone published across 41 years, from 1985 to 2025, averaging 3.8 papers a year. Output peaked at 9 publications in 2016. 8 of the 157 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 9. Peak 9 publications in 2016. 1985: 1 publication 1986: 1 publication 1987: 2 publications 1988: 0 publications 1989: 2 publications 1990: 3 publications 1991: 1 publication 1992: 1 publication 1993: 1 publication 1994: 1 publication 1995: 4 publications 1996: 7 publications 1997: 1 publication 1998: 3 publications 1999: 5 publications 2000: 4 publications 2001: 2 publications 2002: 7 publications 2003: 6 publications 2004: 6 publications 2005: 1 publication 2006: 7 publications 2007: 5 publications 2008: 5 publications 2009: 7 publications 2010: 8 publications 2011: 8 publications 2012: 7 publications 2013: 6 publications 2014: 6 publications 2015: 5 publications 2016: 9 publications 2017: 1 publication 2018: 3 publications 2019: 5 publications 2020: 1 publication 2021: 4 publications 2022: 1 publication 2023: 2 publications 2024: 7 publications 2025: 1 publication
1985 2025

157 publications in total across all disciplines

View publications per year as a table
Richard Catrambone: publications per year, 1985 to 2025
Year Publications
1985 1
1986 1
1987 2
1988 0
1989 2
1990 3
1991 1
1992 1
1993 1
1994 1
1995 4
1996 7
1997 1
1998 3
1999 5
2000 4
2001 2
2002 7
2003 6
2004 6
2005 1
2006 7
2007 5
2008 5
2009 7
2010 8
2011 8
2012 7
2013 6
2014 6
2015 5
2016 9
2017 1
2018 3
2019 5
2020 1
2021 4
2022 1
2023 2
2024 7
2025 1
Total 157
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Richard Catrambone publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Richard Catrambone sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 54 bars. Horizontal axis: publications, 44–53 to 570+. Vertical axis: number of scientists, 0 to 474. Most scientists, 474, have 114–123 publications. The last bar groups every scientist with 570 publications or more. The highlighted bar, 134–143 publications, is where this scientist sits. 44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44–53 publications 570+

This scientist: 143 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

View publications distribution as a table
Number of Social Sciences and Humanities scientists by publication count, Research.com 2026 ranking edition. Based on 7,777 ranked scientists.
Publications Scientists This scientist
44–53 28
54–63 61
64–73 161
74–83 225
84–93 301
94–103 390
104–113 406
114–123 474
124–133 453
134–143 434 143
144–153 407
154–163 411
164–173 391
174–183 313
184–193 319
194–203 304
204–213 285
214–223 246
224–233 213
234–243 170
244–253 167
254–263 162
264–273 138
274–283 138
284–293 113
294–303 106
304–313 95
314–323 101
324–333 81
334–343 69
344–353 56
354–363 36
364–373 42
374–383 41
384–393 44
394–403 27
404–413 30
414–423 20
424–433 29
434–443 29
444–453 25
454–463 19
464–473 21
474–483 11
484–493 17
494–503 7
504–513 6
514–523 12
524–533 10
534–543 7
544–553 6
554–563 12
564–569 8
570+ 100
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Richard Catrambone D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Richard Catrambone sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 71 bars. Horizontal axis: D-Index, 30 to 100+. Vertical axis: number of scientists, 0 to 313. Most scientists, 313, have 42 D-Index. The last bar groups every scientist with 100 D-Index or more. The highlighted bar, 38 D-Index, is where this scientist sits. 30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 38 D-Index — 26th percentile

26% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

View D-Index distribution as a table
Number of Social Sciences and Humanities scientists by D-index, Research.com 2026 ranking edition. Based on 7,777 ranked scientists.
D-Index Scientists This scientist
30 177
31 210
32 222
33 188
34 181
35 243
36 261
37 272
38 278 38
39 300
40 297
41 308
42 313
43 300
44 269
45 260
46 228
47 251
48 203
49 186
50 187
51 166
52 138
53 141
54 131
55 137
56 109
57 129
58 95
59 105
60 106
61 86
62 94
63 77
64 79
65 59
66 68
67 51
68 49
69 40
70 43
71 40
72 50
73 46
74 43
75 45
76 45
77 30
78 25
79 31
80 29
81 18
82 21
83 26
84 15
85 15
86 19
87 19
88 12
89 7
90 19
91 20
92 13
93 9
94 13
95 8
96 7
97 6
98 6
99 6
100+ 97
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Overview

Richard Catrambone is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple interdisciplinary fields, including Computer Science, Psychology, and Social Sciences. Within these main fields, their work frequently engages with subfields such as Computer Science Applications, Experimental and Cognitive Psychology, Education, Computer Vision and Pattern Recognition, and Demography.

The scientist's research addresses a range of topics focused on technology and human learning processes. Key topics include:

  • Online Learning and Analytics
  • Technology Use by Older Adults
  • Visual Attention and Saliency Detection
  • Visual and Cognitive Learning Processes
  • Teaching and Learning Programming
  • Innovative Teaching and Learning Methods
  • Anomaly Detection Techniques and Applications

Richard Catrambone has contributed to a number of academic papers published in diverse venues. Recent notable publications include:

  • "Scaffolding problem solving with learners' own self explanations of subgoals," 2021, Journal of Computing in Higher Education
  • "Social Responses to Virtual Humans: The Effect of Human-Like Characteristics," 2021, Applied Sciences
  • "Predicting Student Performance Using Feature Selection Algorithms for Deep Learning Models," 2021, 2021 XVI Latin American Conference on Learning Technologies (LACLO)
  • "Bad Arguments and Objectively Bad Arguments," 2023, Informal Logic
  • "USE OF THE TENSORFLOW FRAMEWORK TO SUPPORT EDUCATIONAL PROBLEMS: A SYSTEMATIC MAPPING," 2021, International conference on education

Their scholarly collaborations include frequent coauthors such as Emily Gleaton, Zachary R. Tidler, Yan Tang, Haiyan Bai, and Lauren E. Margulieux. These collaborative efforts appear across multiple publications, with notable recurrent partnerships.

Richard Catrambone's work has been disseminated through several frequent publication venues, demonstrating a consistent presence in specific academic communities. Key venues include:

  • Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care
  • 2021 ASEE Virtual Annual Conference Content Access Proceedings
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Journal of Computing in Higher Education
  • 2021 XVI Latin American Conference on Learning Technologies (LACLO)

Best Publications

  • Overcoming contextual limitations on problem-solving transfer.

    Richard Catrambone;Keith J. Holyoak

  • A psychological perspective on augmented reality in the mathematics classroom

    Keith R. Bujak;Iulian Radu;Richard Catrambone;Blair Macintyre

  • An evaluation of space-filling information visualizations for depicting hierarchical structures

    John Stasko;Richard Catrambone;Mark Guzdial;Kevin Mcdonald

  • Designing Instructional Examples to Reduce Intrinsic Cognitive Load: Molar versus Modular Presentation of Solution Procedures

    Peter Gerjets;Katharina Scheiter;Richard Catrambone

  • The subgoal learning model: Creating better examples so that students can solve novel problems.

    Richard Catrambone

  • Evaluating animations as student aids in learning computer algorithms

    Michael D. Byrne;Richard Catrambone;John T. Stasko

  • Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations? *

    Peter Gerjets;Katharina Scheiter;Richard Catrambone

  • Generalizing Solution Procedures Learned From Examples

    Richard Catrambone

  • Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change

    Frank Bentley;Konrad Tollmar;Peter Stephenson;Laura Levy

  • Aiding subgoal learning: Effects on transfer.

    Richard Catrambone

  • Procedural Instructions, Principles, and Examples How to Structure Instructions for Procedural Tasks to Enhance Performance, Learning, and Transfer

    Elsa Eiriksdottir;Richard Catrambone

  • Improving examples to improve transfer to novel problems.

    Richard Catrambone

  • Learning subgoals and methods for solving probability problems.

    Richard Catrambone;Keith J. Holyoak

  • Establishing tradeoffs that leverage attention for utility: empirically evaluating information display in notification systems

    D. Scott McCrickard;Richard Catrambone;C. M. Chewar;John T. Stasko

  • Subgoal-labeled instructional material improves performance and transfer in learning to develop mobile applications

    Lauren E. Margulieux;Mark Guzdial;Richard Catrambone

  • Social facilitation effects of virtual humans.

    Sung Park;Richard Catrambone

  • Making the abstract concrete: Visualizing mathematical solution procedures

    Katharina Scheiter;Peter Gerjets;Richard Catrambone

  • The role of self-schemas in going beyond the information given.

    Richard Catrambone;Hazel Markus

  • Evaluating Animation in the Periphery as a Mechanism for Maintaining Awarness.

    D. Scott McCrickard;Richard Catrambone;John T. Stasko

  • A taxonomy to define courses that mix face-to-face and online learning

    Lauren E. Margulieux;W. Michael McCracken;Richard Catrambone

  • Using animation to help students learn computer algorithms.

    Richard Catrambone;A. Fleming Seay

Frequent Co-Authors

John Stasko
John Stasko Georgia Institute of Technology
Mark Guzdial
Mark Guzdial University of Michigan–Ann Arbor
Ashwin Ram
Ashwin Ram Georgia Institute of Technology
Peter Gerjets
Peter Gerjets University of Tübingen
Elizabeth D. Mynatt
Elizabeth D. Mynatt Northeastern University
Katharina Scheiter
Katharina Scheiter University of Potsdam
Michael D. Byrne
Michael D. Byrne Rice University
Nancy J. Nersessian
Nancy J. Nersessian Harvard University
Keith J. Holyoak
Keith J. Holyoak University of California, Los Angeles
Blair MacIntyre
Blair MacIntyre Georgia Institute of Technology

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