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D-Index & Metrics

Social Sciences and Humanities

D-Index
54
Citations
66448
World Ranking
2070
National Ranking
993

Robert C. MacCallum 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 Robert C. MacCallum 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: 82 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Robert C. MacCallum 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 Robert C. MacCallum 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: 54 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Overview

Robert C. MacCallum is affiliated with the University of North Carolina at Chapel Hill in the United States. Their scholarly contributions span research primarily disseminated through the UNC Libraries publication venue.

Their recent research includes a notable paper titled "Chronic stress and age-related increases in the proinflammatory cytokine IL-6", published in 2020. This work has attracted academic attention, as reflected in its citation count.

Throughout their research career, MacCallum has collaborated with several coauthors, establishing a pattern of joint work with the following individuals:

  • J. K. Kiecolt-Glaser
  • K. J. Preacher
  • C. Atkinson
  • W. B. Malarkey
  • R. Glaser

The collaboration network suggests a focus on interdisciplinary and potentially clinical or biomedical topics related to stress and inflammation, inferred from the subject matter of their recent publication.

While specific main fields and subfields of study are not detailed, the available publication and coauthor information indicate a research trajectory centered around immunology, stress physiology, and age-related inflammatory processes.

MacCallum's academic output includes contributions to established research repositories associated with their institutional affiliation, providing access to primary scholarly communication.

Best Publications

  • Power analysis and determination of sample size for covariance structure modeling.

    Robert C. MacCallum;Michael W. Browne;Hazuki M. Sugawara

  • Evaluating the use of exploratory factor analysis in psychological research.

    Leandre R. Fabrigar;Duane T. Wegener;Robert C. MacCallum;Erin J. Strahan

  • Sample size in factor analysis.

    Robert C. MacCallum;Keith F. Widaman;Shaobo Zhang;Sehee Hong

  • On the Practice of Dichotomization of Quantitative Variables

    Robert C. MacCallum;Shaobo Zhang;Kristopher J. Preacher;Derek D. Rucker

  • Applications of Structural Equation Modeling in Psychological Research

    Robert C. MacCallum;James T. Austin

  • THE APPLICATION OF EXPLORATORY FACTOR ANALYSIS IN APPLIED PSYCHOLOGY: A CRITICAL REVIEW AND ANALYSIS

    J. Kevin Ford;Robert C. MacCALLUM;Marianne Tait

  • Model modifications in covariance structure analysis: the problem of capitalization on chance.

    Robert C. MacCallum;Mary Roznowski;Lawrence B. Necowitz

  • Chronic stress and age-related increases in the proinflammatory cytokine IL-6.

    Janice K. Kiecolt-Glaser;Kristopher J. Preacher;Robert C. MacCallum;Cathie Atkinson

  • Sample size in factor analysis: The role of model error

    Robert C. MacCallum;Keith F. Widaman;Kristopher J. Preacher;Sehee Hong

  • The use of causal indicators in covariance structure models: some practical issues.

    Robert C. MacCallum;Michael W. Browne

  • SPECIFICATION SEARCHES IN COVARIANCE STRUCTURE MODELING

    Robert MacCallum

  • The problem of equivalent models in applications of covariance structure analysis.

    Robert C. MacCallum;Duane T. Wegener;Bert N. Uchino;Leandre R. Fabrigar

  • Use of the extreme groups approach: a critical reexamination and new recommendations.

    Kristopher J. Preacher;Derek D. Rucker;Robert C. MacCallum;W. Alan Nicewander

  • Psychological influences on surgical recovery. Perspectives from psychoneuroimmunology.

    Janice K. Kiecolt-Glaser;Gayle G. Page;Phillip T. Marucha;Robert C. MacCallum

  • Using Parcels to Convert Path Analysis Models Into Latent Variable Models.

    Donna L. Coffman;Robert C. MacCallum

  • Stress and Immune Responses After Surgical Treatment for Regional Breast Cancer

    Barbara L. Andersen;William B. Farrar;Deanna Golden-Kreutz;Leigh Ann Kutz

  • Power Analysis in Covariance Structure Modeling Using GFI and AGFI.

    Robert C. MacCallum;Sehee Hong

  • Exploratory factor analysis in behavior genetics research: Factor recovery with small sample sizes

    Kristopher J. Preacher;Robert C. MacCallum

  • Studying Multivariate Change Using Multilevel Models and Latent Curve Models.

    Robert C. MacCallum;Cheongtag Kim;William B. Malarkey;Janice K. Kiecolt-Glaser

  • Distinguishing Optimism From Pessimism in Older Adults: Is It More Important to Be Optimistic or Not to Be Pessimistic?

    Susan Robinson-Whelen;Cheongtag Kim;Robert C. MacCallum;Janice K. Kiecolt-Glaser

Frequent Co-Authors

Janice K. Kiecolt-Glaser
Janice K. Kiecolt-Glaser The Ohio State University
Ronald Glaser
Ronald Glaser The Ohio State University
William B. Malarkey
William B. Malarkey The Ohio State University
Kristopher J. Preacher
Kristopher J. Preacher Vanderbilt University
John F. Sheridan
John F. Sheridan The Ohio State University
Michael W. Browne
Michael W. Browne The Ohio State University
Keith F. Widaman
Keith F. Widaman University of California, Riverside
Duane T. Wegener
Duane T. Wegener The Ohio State University
Leandre R. Fabrigar
Leandre R. Fabrigar Queen's University
John T. Cacioppo
John T. Cacioppo University of Chicago

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