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D-Index & Metrics

Social Sciences and Humanities

D-Index
43
Citations
13756
World Ranking
4282
National Ranking
302

David Andrich 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 Andrich 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: 141 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

David Andrich 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 Andrich 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

David Andrich is affiliated with the University of Western Australia in Australia. Their research primarily spans the fields of Social Sciences, Mathematics, and Decision Sciences, with a focus on several subfields including Statistics and Probability, Biomedical Engineering, Sociology and Political Science, Management Science and Operations Research, and Information Systems and Management.

Their scholarly work covers a diverse range of topics, notably Psychometric Methodologies and Testing, Educational Assessment and Improvement, School Choice and Performance, Advanced Statistical Methods and Models, Statistics Education and Methodologies, Statistical Methods and Applications, and studies involving Muscle activation and electromyography.

David Andrich has contributed to several academic journals, including Applied Measurement in Education, Measurement, and Disability and Rehabilitation. Their recent publications include:

  • The Trade-Off between Model Fit, Invariance, and Validity: The Case of PISA Science Assessments (2020) in Applied Measurement in Education
  • The Rasch distribution: A discrete, general form of the Gauss distribution of uncertainty in scientific measurement (2020) in Measurement
  • Re: the Upper Extremity Functional Scale for Prosthesis Users (UEFS-P): subscales for one and two-handed tasks (2024) in Disability and Rehabilitation

Their collaborative work involves coauthors such as Yasmine H. El Masri, Mike Horton, Jill Carlton, and Dragana Surla, each of whom has contributed to at least one joint publication with them.

Best Publications

  • A rating formulation for ordered response categories

    David Andrich

  • Rasch models for measurement

    David Andrich

  • Application of a psychometric rating model to ordered categories which are scored with successive integers

    David Andrich

  • Controversy and the Rasch model: a characteristic of incompatible paradigms?

    David Andrich

  • A General Form of Rasch's Extended Logistic Model for Partial Credit Scoring

    David Andrich

  • Assessment and learning: fields apart?

    Jo Anne Baird;David Andrich;Therese N. Hopfenbeck;Gordon Stobart

  • Rating scales and Rasch measurement.

    David Andrich

  • An elaboration of Guttman scaling with Rasch models for measurement.

    David Andrich

  • Formalizing dimension and response violations of local independence in the unidimensional Rasch model.

    Ida Marais;David Andrich

  • Relationships between the Thurstone and Rasch approaches to item scaling

    David Andrich

  • An Extension of the Rasch Model for Ratings Providing Both Location and Dispersion Parameters.

    David Andrich

  • Scaling Attitude Items Constructed and Scored in the Likert Tradition.

    David Andrich

  • Recent advances in analysis of differential item functioning in health research using the Rasch model.

    Curt Hagquist;David Andrich

  • A Hyperbolic Cosine Latent Trait Model For Unfolding Dichotomous Single-Stimulus Responses

    David Andrich;Guanzhong Luo

  • Is the sense of coherence-instrument applicable on adolescents? A latent trait analysis using Rasch-modelling

    Curt Hagquist;Curt Hagquist;David Andrich

  • The Application of an Unfolding Model of the PIRT Type to the Measurement of Attitude

    David Andrich

  • The General Health Questionnaire: a psychometric analysis using latent trait theory.

    David Andrich;Lesley Van Schoubroeck

  • A hyperbolic cosine latent trait model for unfolding polytomous responses: Reconciling Thurstone and Likert methodologies

    David Andrich

  • Real and Artificial Differential Item Functioning

    David Andrich;Curt Hagquist

  • An Expanded Derivation of the Threshold Structure of the Polytomous Rasch Model That Dispels Any “Threshold Disorder Controversy”

    David Andrich

  • A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences

    David Andrich;Ida Marais

Frequent Co-Authors

Ian B. Puddey
Ian B. Puddey University of Western Australia
Alan J. Thompson
Alan J. Thompson University College London
Alan Tennant
Alan Tennant University of Leeds

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