World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
99
Citations
55323
World Ranking
638
National Ranking
405

Todd D. Little publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Todd D. Little sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 326 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Todd D. Little D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Todd D. Little sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 99 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Research.com Recognitions

  • 2011 - Fellow of the American Psychological Association (APA)

Overview

Todd D. Little is affiliated with Texas Tech University in the United States and has contributed extensively to the fields of psychology and social sciences. Their research spans multiple subfields including clinical psychology, education, sociology and political science, statistics and probability, and social psychology.

The scientist's work covers a variety of topics, including child and adolescent psychosocial and emotional development, racial and ethnic identity research, migration, health and trauma, intimate partner and family violence, early childhood education and development, optimism, hope and well-being, as well as wound healing and treatments.

Frequent collaborators in their research include Allison J. Tracy, Kathleen M. Roche, Sarah DeGue, Lianne Fuino Estefan, and Vi Donna Le.

Notable recent publications by Todd D. Little include:

  • Association of Family Member Detention or Deportation With Latino or Latina Adolescents' Later Risks of Suicidal Ideation, Alcohol Use, and Externalizing Problems (2020) in JAMA Pediatrics
  • Patient genetics is linked to chronic wound microbiome composition and healing (2020) in PLoS Pathogens
  • Effects of Dating Matters® on Sexual Violence and Sexual Harassment Outcomes among Middle School Youth: a Cluster-Randomized Controlled Trial (2020) in Prevention Science
  • Authoritarianism and Social Dominance Predict Annual Increases in Generalized Prejudice (2020) in Social Psychological and Personality Science
  • COVID-19 Stressors and Latinx Adolescents' Mental Health Symptomology and School Performance: A Prospective Study (2022) in Journal of Youth and Adolescence

Todd D. Little's publications are often featured in venues such as Prevention Science, JAMA Pediatrics, the International Journal of Behavioral Development, Contemporary Clinical Trials, and Teaching and Teacher Education. Among these, Prevention Science has the highest number of their published works.

In addition to journal articles, the scientist has published a book titled Parceling in Structural Equation Modeling (2022) through Cambridge University Press.

Recognition of their professional standing includes being named a Fellow of the American Psychological Association (APA) in 2011.

Best Publications

  • To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits

    Todd D. Little;William A. Cunningham;Golan Shahar;Keith F. Widaman

  • Longitudinal Structural Equation Modeling

    Todd D. Little

  • Direct and Indirect Aggression During Childhood and Adolescence: A Meta-Analytic Review of Gender Differences, Intercorrelations, and Relations to Maladjustment

    Noel A. Card;Brian D. Stucky;Gita M. Sawalani;Todd D. Little

  • Mean and Covariance Structures (MACS) Analyses of Cross-Cultural Data: Practical and Theoretical Issues

    Todd D. Little

  • Why the items versus parcels controversy needn't be one.

    Todd D. Little;Mijke Rhemtulla;Kimberly Gibson;Alexander M. Schoemann

  • Disentangling the "whys" from the "whats" of aggressive behaviour

    Todd D. Little;Christopher C. Henrich;Stephanie M. Jones;Patricia H. Hawley

  • Self-determination theory.

    Nicole Adams;Todd D. Little;Richard M. Ryan

  • On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables

    Todd D. Little;James A. Bovaird;Keith F. Widaman

  • A large-scale evaluation of the KiVa antibullying program: grades 4-6.

    Antti Kärnä;Marinus Voeten;Todd D. Little;Elisa Poskiparta

  • Proactive and reactive aggression in childhood and adolescence: A meta-analysis of differential relations with psychosocial adjustment:

    Noel A. Card;Todd D. Little

  • Is age-related stability of subjective well-being a paradox? Cross-sectional and longitudinal evidence from the Berlin Aging Study.

    Ute Kunzmann;Todd D. Little;Jacqui Smith

  • On selecting indicators for multivariate measurement and modeling with latent variables: When "good" indicators are bad and "bad" indicators are good.

    Todd D. Little;Ulman Lindenberger;John R. Nesselroade

  • New developments in latent variable panel analyses of longitudinal data.

    Todd D. Little;Kristopher J. Preacher;James P. Selig;Noel A. Card

  • The Infant–Toddler Social and Emotional Assessment (ITSEA): Factor Structure, Reliability, and Validity

    Alice S. Carter;Margaret J. Briggs-Gowan;Stephanie M. Jones;Todd D. Little

  • On the Joys of Missing Data

    Todd D. Little;Terrence D. Jorgensen;Kyle M. Lang;E. Whitney G. Moore

  • The American Dream in Russia: Extrinsic Aspirations and Well-Being in Two Cultures

    Richard M. Ryan;Valery I. Chirkov;Todd D. Little;Kennon M. Sheldon

  • Autoregressive and cross-lagged panel analysis for longitudinal data

    James P. Selig;Todd D. Little

  • A Non-arbitrary Method of Identifying and Scaling Latent Variables in SEM and MACS Models

    Todd D. Little;David W. Slegers;Noel A. Card

  • Structural Equation Modeling of Mediation and Moderation With Contextual Factors

    Todd D. Little;Noel A. Card;James A. Bovaird;Kristopher J. Preacher

  • Longitudinal Data Analysis

    Wei Wu;James P. Selig;Todd D. Little

  • Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples.

    Todd D. Little;Kai Uwe Schnabel;Jürgen Baumert

  • Handbook of developmental research methods

    Brett Paul Laursen;Todd D. Little;Noel A. Card

  • Modeling contextual effects in longitudinal studies

    Todd D. Little;James A. Bovaird;Noel A. Card

Frequent Co-Authors

Karrie A. Shogren
Karrie A. Shogren University of Kansas
Michael L. Wehmeyer
Michael L. Wehmeyer University of Kansas
Keith F. Widaman
Keith F. Widaman University of California, Riverside
Daniel K. Mroczek
Daniel K. Mroczek Northwestern University
Patricia H. Hawley
Patricia H. Hawley Texas Tech University
Susan B. Palmer
Susan B. Palmer University of Kansas
Noel A. Card
Noel A. Card University of Georgia
Gabriele Oettingen
Gabriele Oettingen New York University
Paul B. Baltes
Paul B. Baltes Max Planck Institute for Human Development
Christina Salmivalli
Christina Salmivalli University of Turku

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