World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
43
Citations
7508
World Ranking
4438
National Ranking
258

Mark J. Gierl 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 Mark J. Gierl 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: 162 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Mark J. Gierl 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 Mark J. Gierl 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Mark J. Gierl is affiliated with the University of Alberta in Canada. Their research spans multiple domains within computer science and social sciences, with a particular concentration on artificial intelligence and education-related fields.

The scientist's main fields of study include:

  • Computer Science
  • Social Sciences

Subfields of study covered in their work involve:

  • Artificial Intelligence
  • Education
  • Information Systems
  • Computer Science Applications
  • Developmental and Educational Psychology

Mark J. Gierl's research addresses numerous topics related to education and technology, such as:

  • Online Learning and Analytics
  • Educational Technology and Assessment
  • Topic Modeling
  • Intelligent Tutoring Systems and Adaptive Learning
  • Text Readability and Simplification
  • Student Assessment and Feedback
  • Educational Assessment and Pedagogy

Frequent co-authors collaborating with Mark J. Gierl include:

  • Tahereh Firoozi
  • Jinnie Shin
  • Hollis Lai
  • Okan Bulut
  • Ayfer SAYIN

They have published regularly in various venues, among the most frequent are:

  • International Journal of Assessment Tools in Education
  • Language Testing
  • Educational Measurement Issues and Practice
  • Social Psychology of Education
  • Research and Practice in Technology Enhanced Learning

Recent publications include the following papers:

  • Automated scoring of junior and senior high essays using Coh-Metrix features: Implications for large-scale language testing, 2020, Language Testing
  • A scoping review of the relationship between students' ICT and performance in mathematics and science in the PISA data, 2020, Social Psychology of Education
  • More efficient processes for creating automated essay scoring frameworks: A demonstration of two algorithms, 2020, Language Testing
  • Can automated item generation be used to develop high quality MCQs that assess application of knowledge?, 2020, Research and Practice in Technology Enhanced Learning
  • Testing measurement invariance of PISA 2015 mathematics, science, and ICT scales using the alignment method, 2020, Studies In Educational Evaluation

Best Publications

  • Evaluating Type I Error and Power Rates Using an Effect Size Measure With the Logistic Regression Procedure for DIF Detection

    Michael G. Jodoin;Mark J. Gierl

  • Cognitive diagnostic assessment for education: Theory and applications.

    Jacqueline P. Leighton;Mark J. Gierl

  • The Attribute Hierarchy Method for Cognitive Assessment: A Variation on Tatsuoka's Rule-Space Approach

    Jacqueline P. Leighton;Mark J. Gierl;Stephen M. Hunka

  • Using Multidimensional Item Response Theory to Evaluate Educational and Psychological Tests

    Terry A. Ackerman;Mark J. Gierl;Cindy M. Walker

  • Anxieties and Attitudes Related to Mathematics in Grades 3 and 6

    Mark J. Gierl;Jeffrey Bisanz

  • Defining and Evaluating Models of Cognition Used in Educational Measurement to Make Inferences about Examinees' Thinking Processes.

    Jacqueline P. Leighton;Mark J. Gierl

  • Developing, Analyzing, and Using Distractors for Multiple-Choice Tests in Education: A Comprehensive Review:

    Mark J. Gierl;Okan Bulut;Qi Guo;Xinxin Zhang

  • Automatic item generation : theory and practice

    Mark J Gierl;Thomas M. Haladyna

  • Identifying Sources of Differential Item and Bundle Functioning on Translated Achievement Tests: A Confirmatory Analysis

    Mark J. Gierl;Shameem Nyla Khaliq

  • Using automatic item generation to create multiple-choice test items.

    Mark J Gierl;Hollis Lai;Simon R Turner

  • Structural Equation Modeling: Perspectives on the Present and the Future

    Barbara M. Byrne

  • An NCME Instructional Module on Exploring the Logic of Tatsuoka's Rule‐Space Model for Test Development and Analysis

    Mark J. Gierl;Jacqueline P. Leighton;Stephen M. Hunka

  • Why cognitive diagnostic assessment

    Jacqueline P. Leighton;Mark J. Gierl

  • Using the Attribute Hierarchy Method to Make Diagnostic Inferences About Examinees' Cognitive Skills

    Mark J. Gierl;Jacqueline P. Leighton;Stephen M. Hunka

  • Making Diagnostic Inferences about Cognitive Attributes Using the Rule-Space Model and Attribute Hierarchy Method.

    Mark J. Gierl

  • Illustrating the Utility of Differential Bundle Functioning Analyses To Identify and Interpret Group Differences on Achievement Tests.

    Mark J. Gierl;Jeffrey Bisanz;Keith A. Boughton

  • Identifying Content and Cognitive Skills that Produce Gender Differences in Mathematics: A Demonstration of the Multidimensionality‐Based DIF Analysis Paradigm

    Mark J. Gierl;Jeffrey Bisanz;Keith A. Boughton

  • Comparability of Bilingual Versions of Assessments: Sources of Incomparability of English and French Versions of Canada's National Achievement Tests

    Kadriye Ercikan;Mark J. Gierl;Tanya McCreith;Gautam Puhan

  • Effects of Parenting Education on First-Time Fathers' Skills in Interactions with Their Infants

    Joyce Magill-Evans;Margaret J. Harrison;Karen Benzies;Mark Gierl

  • Setting the Standards

    Douglas B. McLeod;Robert E. Stake;Bonnie P. Schappelle;Melissa Mellissinos

  • Estimating Classification Consistency and Accuracy for Cognitive Diagnostic Assessment.

    Ying Cui;Mark J. Gierl;Hua Hua Chang

Frequent Co-Authors

Jeffrey Bisanz
Jeffrey Bisanz University of Alberta
Carole A. Estabrooks
Carole A. Estabrooks University of Alberta
Daniel M. Bolt
Daniel M. Bolt University of Wisconsin–Madison
Joyce Magill-Evans
Joyce Magill-Evans University of Alberta
Georges Bordage
Georges Bordage University of Illinois at Chicago

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