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D-Index & Metrics

Social Sciences and Humanities

D-Index
60
Citations
19243
World Ranking
1426
National Ranking
677

David Williamson Shaffer 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 David Williamson Shaffer 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: 251 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

David Williamson Shaffer 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 David Williamson Shaffer 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: 60 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

David Williamson Shaffer is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple fields including computer science, social sciences, and psychology, with significant contributions in several related subfields.

The primary fields of study for Shaffer are:

  • Computer Science
  • Social Sciences
  • Psychology

Within these areas, they have focused on specific subfields such as:

  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Developmental and Educational Psychology
  • Education
  • Computer Science Applications

Their main research topics cover a range of contemporary and interdisciplinary areas, including:

  • Complex Network Analysis Techniques
  • Innovative Teaching and Learning Methods
  • Online Learning and Analytics
  • Complex Systems and Decision Making
  • Topic Modeling
  • Mental Health Research Topics
  • Data Visualization and Analytics

Shaffer has published in multiple academic venues, publishing notably in:

  • Frontiers in Psychology
  • Computers & Education
  • Journal of Learning Analytics
  • Open Research Europe
  • Computers in Human Behavior

Recent papers include:

  • "Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond" (2022, Computers in Human Behavior)
  • "Stirring a Secret Sauce: A Literature Review on the Conditions and Effects of Authentic Learning" (2022, Educational Psychology Review)
  • "Dissecting learning tactics in MOOC using ordered network analysis" (2022, Journal of Computer Assisted Learning)
  • "Analytics of self-regulated learning scaffolding: effects on learning processes" (2023, Frontiers in Psychology)
  • "Evaluating how residents talk and what it means for surgical performance in the simulation lab" (2020, The American Journal of Surgery)

Frequent coauthors in Shaffer's work include:

  • Zhiqiang Cai
  • A. R. Ruis
  • Brendan Eagan
  • Yeyu Wang
  • Yuanru Tan

Best Publications

  • How Computer Games Help Children Learn

    David Williamson Shaffer;James Paul Gee

  • Video Games and the Future of Learning

    David Williamson Shaffer;Kurt R. Squire;Richard Halverson;James P. Gee

  • Psychosocial risk factors of child and adolescent completed suicide.

    Madelyn S. Gould;Prudence Fisher;Michael Parides;Michael Flory

  • Psychopathology Associated With Suicidal Ideation and Attempts Among Children and Adolescents

    Madelyn S. Gould;Robert King;Steven Greenwald;Prudence Fisher

  • A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data

    David Williamson Shaffer;Wesley Collier;A. R. Ruis

  • Epistemic frames for epistemic games

    David W. Shaffer

  • Psychosocial and Risk Behavior Correlates of Youth Suicide Attempts and Suicidal Ideation

    Robert A. King;Mary Schwab-Stone;Alan J. Flisher;Steven Greenwald

  • Relationship Between Antidepressant Medication Treatment and Suicide in Adolescents

    Mark Olfson;David Shaffer;Steven C. Marcus;Tsafrir Greenberg

  • “Thick” authenticity: new media and authentic learning

    David Williamson Shaffer;Mitchel Resnick

  • Epistemic Network Analysis: A Prototype for 21st-Century Assessment of Learning

    David Williamson Shaffer;David Hatfield;Gina Navoa Svarovsky;Padraig Nash

  • The Columbia Impairment Scale (CIS): Pilot findings on a measure of global impairment for children and adolescents.

    Hector R. Bird;David Shaffer;Prudence Fisher;Madelyn S. Gould

  • "Practicing" medicine without risk: students' and educators' responses to high-fidelity patient simulation.

    James A. Gordon;William M. Wilkerson;David Williamson Shaffer;Elizabeth G. Armstrong

  • The impact of suicide in television movies. Evidence of imitation

    Madelyn S. Gould;David Shaffer

  • Antidepressant drug therapy and suicide in severely depressed children and adults: A case-control study.

    Mark Olfson;Steven C. Marcus;David Shaffer

  • Pedagogical Praxis: The Professions as Models for Postindustrial Education

    David Williamson Shaffer

  • Why Theory Matters More than Ever in the Age of Big Data

    Alyssa Friend Wise;David Williamson Shaffer

  • Emergency treatment of young people following deliberate self-harm

    Mark Olfson;M. J. Gameroff;Steven C. Marcus;Tsafrir Greenberg

  • Epistemic Network Analysis: A Worked Example of Theory-Based Learning Analytics

    David Williamson Shaffer;A. R. Ruis

  • SENS: Network analytics to combine social and cognitive perspectives of collaborative learning

    Dragan Gašević;Dragan Gašević;Srećko Joksimović;Brendan R. Eagan;David Williamson Shaffer;David Williamson Shaffer

  • What Good are Statistics that Don’t Generalize?:

    David Williamson Shaffer;Ronald C. Serlin

  • Evidence-Centered Design of Epistemic Games: Measurement Principles for Complex Learning Environments.

    Andre A. Rupp;Matthew Gushta;Robert J. Mislevy;David Williamson Shaffer

  • National Trends in Hospitalization of Youth With Intentional Self-Inflicted Injuries

    Mark Olfson;Marc J. Gameroff;Steven C. Marcus;Ted Greenberg

Frequent Co-Authors

Anthony P. Monaco
Anthony P. Monaco Tufts University
Arthur C. Graesser
Arthur C. Graesser University of Memphis
Zhiqiang Cai
Zhiqiang Cai Purdue University West Lafayette
James Paul Gee
James Paul Gee Arizona State University
Kurt Squire
Kurt Squire University of California, Irvine
Mark Olfson
Mark Olfson Columbia University
Steven C. Marcus
Steven C. Marcus University of Pennsylvania
Daniel S. Pine
Daniel S. Pine National Institutes of Health
Hector R. Bird
Hector R. Bird Columbia University
Stéphane Cotin
Stéphane Cotin French Institute for Research in Computer Science and Automation - INRIA

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