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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Social Sciences and Humanities 49 2940 2693 1427 1288 177 10110

John M. Ferron publications per year

The chart shows the history of publications by John M. Ferron between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John M. Ferron published across 32 years, from 1994 to 2025, averaging 6.2 papers a year. Output peaked at 18 publications in 2020. 12 of the 198 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2020. 1994: 4 publications 1995: 2 publications 1996: 1 publication 1997: 5 publications 1998: 3 publications 1999: 1 publication 2000: 1 publication 2001: 1 publication 2002: 6 publications 2003: 5 publications 2004: 4 publications 2005: 3 publications 2006: 2 publications 2007: 3 publications 2008: 2 publications 2009: 3 publications 2010: 6 publications 2011: 5 publications 2012: 8 publications 2013: 12 publications 2014: 14 publications 2015: 13 publications 2016: 7 publications 2017: 9 publications 2018: 8 publications 2019: 11 publications 2020: 18 publications 2021: 17 publications 2022: 8 publications 2023: 4 publications 2024: 5 publications 2025: 7 publications
1994 2025

198 publications in total across all disciplines

View publications per year as a table
John M. Ferron: publications per year, 1994 to 2025
Year Publications
1994 4
1995 2
1996 1
1997 5
1998 3
1999 1
2000 1
2001 1
2002 6
2003 5
2004 4
2005 3
2006 2
2007 3
2008 2
2009 3
2010 6
2011 5
2012 8
2013 12
2014 14
2015 13
2016 7
2017 9
2018 8
2019 11
2020 18
2021 17
2022 8
2023 4
2024 5
2025 7
Total 198
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John M. Ferron 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 John M. Ferron sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 54 bars. Horizontal axis: publications, 44–53 to 570+. Vertical axis: number of scientists, 0 to 474. Most scientists, 474, have 114–123 publications. The last bar groups every scientist with 570 publications or more. The highlighted bar, 174–183 publications, is where this scientist sits. 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
44–53 publications 570+

This scientist: 177 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Social Sciences and Humanities scientists by publication count, Research.com 2026 ranking edition. Based on 7,777 ranked scientists.
Publications Scientists This scientist
44–53 28
54–63 61
64–73 161
74–83 225
84–93 301
94–103 390
104–113 406
114–123 474
124–133 453
134–143 434
144–153 407
154–163 411
164–173 391
174–183 313 177
184–193 319
194–203 304
204–213 285
214–223 246
224–233 213
234–243 170
244–253 167
254–263 162
264–273 138
274–283 138
284–293 113
294–303 106
304–313 95
314–323 101
324–333 81
334–343 69
344–353 56
354–363 36
364–373 42
374–383 41
384–393 44
394–403 27
404–413 30
414–423 20
424–433 29
434–443 29
444–453 25
454–463 19
464–473 21
474–483 11
484–493 17
494–503 7
504–513 6
514–523 12
524–533 10
534–543 7
544–553 6
554–563 12
564–569 8
570+ 100
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John M. Ferron 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 John M. Ferron sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 71 bars. Horizontal axis: D-Index, 30 to 100+. Vertical axis: number of scientists, 0 to 313. Most scientists, 313, have 42 D-Index. The last bar groups every scientist with 100 D-Index or more. The highlighted bar, 49 D-Index, is where this scientist sits. 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: 49 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Social Sciences and Humanities scientists by D-index, Research.com 2026 ranking edition. Based on 7,777 ranked scientists.
D-Index Scientists This scientist
30 177
31 210
32 222
33 188
34 181
35 243
36 261
37 272
38 278
39 300
40 297
41 308
42 313
43 300
44 269
45 260
46 228
47 251
48 203
49 186 49
50 187
51 166
52 138
53 141
54 131
55 137
56 109
57 129
58 95
59 105
60 106
61 86
62 94
63 77
64 79
65 59
66 68
67 51
68 49
69 40
70 43
71 40
72 50
73 46
74 43
75 45
76 45
77 30
78 25
79 31
80 29
81 18
82 21
83 26
84 15
85 15
86 19
87 19
88 12
89 7
90 19
91 20
92 13
93 9
94 13
95 8
96 7
97 6
98 6
99 6
100+ 97
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Overview

John M. Ferron is affiliated with the University of South Florida in the United States and focuses primarily on research within the field of psychology. Their scholarly work spans several specialized areas including developmental and educational psychology, clinical psychology, cognitive neuroscience, education, and statistics and probability.

Their research addresses a range of topics mainly concentrated on behavioral and psychological studies, autism spectrum disorder research, and child and adolescent psychosocial and emotional development. Other key topics include optimal experimental design methods, early childhood education and development, health policy implementation science, and family and disability support research.

Ferron's publication record includes contributions to multiple academic journals, with frequent appearances in the Journal of School Psychology, Evidence-Based Communication Assessment and Intervention, Perspectives on Behavior Science, Behavior Research Methods, and School Psychology.

Recent papers authored or co-authored by Ferron include:

  • Single-case design standards: An update and proposed upgrades (2021), Journal of School Psychology
  • Single-case intervention research design standards: Additional proposed upgrades and future directions (2023), Journal of School Psychology
  • Indexing effects in single-case experimental designs by estimating the percent of goal obtained (2020), Evidence-Based Communication Assessment and Intervention
  • A systematic review of single-case experimental design meta-analyses: characteristics of study designs, data, and analyses (2022), Evidence-Based Communication Assessment and Intervention
  • Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability (2020), Educational Psychology Review

Frequent co-authors who have collaborated with Ferron include Mariola Moeyaert, Shannon M. Suldo, Joel R. Levin, S. Natasha Beretvas, and Wim Van Den Noortgate. This collaboration network reflects interdisciplinary and methodological approaches in single-case research designs and applied psychology.

Best Publications

  • The Quality of Factor Solutions in Exploratory Factor Analysis: The Influence of Sample Size, Communality, and Overdetermination.

    Kristine Y. Hogarty;Constance V. Hines;Jeffrey D. Kromrey;John M. Ferron

  • School demographic variables and out-of-school suspension rates: A quantitative and qualitative analysis of a large, ethnically diverse school district

    Linda M. Raffaele Mendez;Howard M. Knoff;John M. Ferron

  • Longitudinal academic outcomes predicted by early adolescents’ subjective well-being, psychopathology, and mental health status yielded from a dual factor model

    Shannon Suldo;Amanda Thalji;John Ferron

  • Poverty Experiences of Young Children and the Quality of Their Home Environments

    Patricia Garrett;Nicholas Ng'andu;John Ferron

  • Emerging Risks of Violence in the Digital Age: Lessons for Educators from an Online Study of Adolescent Girls in the United States.

    Ilene R. Berson;Michael J. Berson;John M. Ferron

  • Multilevel Modeling: A Review of Methodological Issues and Applications

    Robert F. Dedrick;John M. Ferron;Melinda R. Hess;Kristine Y. Hogarty

  • Methods for dealing with multiple outcomes in meta-analysis: a comparison between averaging effect sizes, robust variance estimation and multilevel meta-analysis

    Mariola Moeyaert;Maaike Ugille;S. Natasha Beretvas;John Ferron

  • How Low Can You Go? An Investigation of the Influence of Sample Size and Model Complexity on Point and Interval Estimates in Two-Level Linear Models

    Bethany A. Bell;Grant B. Morgan;Jason A. Schoeneberger;Jeffrey D. Kromrey

  • Making treatment effect inferences from multiple-baseline data: the utility of multilevel modeling approaches.

    John M. Ferron;Bethany A. Bell;Melinda R. Hess;Gianna Rendina-Gobioff

  • Cluster Size in Multilevel Models: The Impact of Sparse Data Structures on Point and Interval Estimates in Two-Level Models

    Bethany A. Bell;John M. Ferron;Jeffrey D. Kromrey

  • From a single-level analysis to a multilevel analysis of single-case experimental designs☆

    Mariola Moeyaert;John M. Ferron;S. Natasha Beretvas;Wim Van den Noortgate

  • The Impact of Small Cluster Size on Multilevel Models: A Monte Carlo Examination of Two-Level Models with Binary and Continuous Predictors

    Bethany A. Bell;Grant B. Morgan;Jeffrey D. Kromrey;John M. Ferron

  • Conceptualizing High School Students' Mental Health through a Dual-Factor Model

    Shannon M. Suldo;Amanda Thalji-Raitano;Sarah M. Kiefer;John M. Ferron

  • Effects of Misspecifying the First-Level Error Structure in Two-Level Models of Change

    John Ferron;Ron Dailey;Qing Yi

  • Tests for the Visual Analysis of Response-Guided Multiple-Baseline Data

    John Ferron;Peggy K. Jones

  • Statistical Power of Randomization Tests Used with Multiple-Baseline Designs

    John Ferron;Chris Sentovich

  • Capacity, strategies, and metamemory: tests of a three-factor model of memory development.

    Darlene DeMarie;John Ferron

  • Multilevel Factor Analysis: Reporting Guidelines and a Review of Reporting Practices.

    Eun Sook Kim;Robert F. Dedrick;Chunhua Cao;John M. Ferron

  • Use of Design Effects and Sample Weights in Complex Health Survey Data: A Review of Published Articles Using Data From 3 Commonly Used Adolescent Health Surveys

    Bethany A. Bell;Anthony J. Onwuegbuzie;John M. Ferron;Qun G. Jiao

  • Estimating individual treatment effects from multiple-baseline data: a Monte Carlo study of multilevel-modeling approaches.

    John M. Ferron;Jennie L. Farmer;Corina M. Owens

Frequent Co-Authors

Shannon M. Suldo
Shannon M. Suldo University of South Florida
Joel R. Levin
Joel R. Levin University of Arizona
Howard Goldstein
Howard Goldstein University of South Florida
Anthony J. Onwuegbuzie
Anthony J. Onwuegbuzie University of Johannesburg
Thomas R. Kratochwill
Thomas R. Kratochwill University of Wisconsin–Madison
Robert H. Horner
Robert H. Horner University of Oregon
Stephen Stark
Stephen Stark University of South Florida
Patricia H. Miller
Patricia H. Miller San Francisco State University

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