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D-Index & Metrics

Social Sciences and Humanities

D-Index
38
Citations
7799
World Ranking
5867
National Ranking
2789

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.

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 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.

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.

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.

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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