World's Best Scientists 2026 revealed!
Anthony J. Rosellini

Anthony J. Rosellini

D-Index & Metrics

Psychology

D-Index
32
Citations
5341
World Ranking
10821
National Ranking
5660

Anthony J. Rosellini 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 Anthony J. Rosellini 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: 98 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Anthony J. Rosellini 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 Anthony J. Rosellini 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: 32 D-Index — 6th percentile

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

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

Overview

Anthony J. Rosellini is affiliated with Boston University in the United States and has contributed extensively to the field of psychology, with a primary focus on clinical psychology. Their research spans multiple subfields, including experimental and cognitive psychology, social psychology, epidemiology, and public health, environmental and occupational health.

Their work addresses a range of mental health topics, prominently featuring suicide and self-harm studies, mental health treatment and access, anxiety, depression, psychometrics, treatment, cognitive processes, posttraumatic stress disorder research, child and adolescent psychosocial and emotional development, mental health research topics broadly, and resilience and mental health.

Among their recent publications are the following papers:

  • Developing and Validating Clinical Questionnaires (2021), published in Annual Review of Clinical Psychology
  • Supervised Machine Learning: A Brief Primer (2020), published in Behavior Therapy
  • Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries (2021), published in American Journal of Epidemiology
  • Suicide prediction among men and women with depression: A population-based study (2021), published in Journal of Psychiatric Research
  • Using machine learning to predict suicide in the 30 days after discharge from psychiatric hospital in Denmark (2021), published in The British Journal of Psychiatry

Rosellini frequently collaborates with a group of coauthors who have contributed to multiple publications together. These include:

  • Jaimie L. Gradus
  • Erzsébet Horváth-Puhó
  • Timothy L. Lash
  • Henrik Toft Sørensen
  • Tammy Jiang

Rosellini's publications have appeared in several recurring venues, reflecting their consistent engagement with specific scholarly communities. These venues include:

  • Behavior Therapy
  • American Journal of Epidemiology
  • Social Psychiatry and Psychiatric Epidemiology
  • Journal of Psychiatric Research
  • Cognitive and Behavioral Practice

The scope of Rosellini's work indicates a focus on the application of clinical and cognitive psychology methods to better understand and address mental health challenges, particularly those related to suicide prevention, treatment accessibility, and the psychometrics of clinical tools. Their integration of machine learning techniques into psychiatric epidemiology demonstrates a methodological approach that combines advanced analytics with traditional psychological research.

Best Publications

  • Supervised Machine Learning: A Brief Primer.

    Tammy Jiang;Jaimie L. Gradus;Anthony J. Rosellini

  • Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

    Ronald Kessler;Christopher H. Warner;Christopher Ivany;Maria Petukhova

  • How well can post‐traumatic stress disorder be predicted from pre‐trauma risk factors? An exploratory study in the WHO World Mental Health Surveys

    Ronald C. Kessler;Sherri Rose;Karestan C. Koenen;Elie G. Karam

  • The NEO Five-Factor Inventory: latent structure and relationships with dimensions of anxiety and depressive disorders in a large clinical sample.

    Anthony J. Rosellini;Timothy A. Brown

  • Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports

    R C Kessler;H. M. van Loo;Klaas Wardenaar;R M Bossarte

  • Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration

    Ronald C. Kessler;Irving Hwang;Claire A. Hoffmire;John F. McCarthy

  • Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder.

    R C Kessler;H. M. van Loo;Klaas Wardenaar;R M Bossarte

  • Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

    R C Kessler;M B Stein;M B Stein;M V Petukhova;P Bliese

  • The Direct and Interactive Effects of Neuroticism and Life Stress on the Severity and Longitudinal Course of Depressive Symptoms

    Timothy A. Brown;Anthony J. Rosellini

  • Mental disorder comorbidity and suicidal thoughts and behaviors in the World Health Organization World Mental Health Surveys International College Student initiative.

    Randy P. Auerbach;Philippe Mortier;Ronny Bruffaerts;Jordi Alonso

  • Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.

    Jaimie L. Gradus;Jaimie L. Gradus;Anthony J. Rosellini;Erzsébet Horváth-Puhó;Amy E. Street;Amy E. Street

  • PREVALENCE AND CORRELATES OF SUICIDAL BEHAVIOR AMONG NEW SOLDIERS IN THE U.S. ARMY: RESULTS FROM THE ARMY STUDY TO ASSESS RISK AND RESILIENCE IN SERVICEMEMBERS (ARMY STARRS)

    Robert J. Ursano;Steven G. Heeringa;Murray B. Stein;Murray B. Stein;Sonia Jain

  • Childhood adversity, adult stress, and the risk of major depression or generalized anxiety disorder in US soldiers: a test of the stress sensitization hypothesis.

    Gretchen Bandoli;Laura Campbell-Sills;Ronald C. Kessler;Steven G. Heeringa

  • LIFETIME PREVALENCE OF DSM‐IV MENTAL DISORDERS AMONG NEW SOLDIERS IN THE U.S. ARMY: RESULTS FROM THE ARMY STUDY TO ASSESS RISK AND RESILIENCE IN SERVICEMEMBERS (ARMY STARRS)

    Anthony Rosellini;Steven G. Heeringa;Murray B. Stein;Murray B. Stein;Robert J. Ursano

  • APPROXIMATING A DSM-5 DIAGNOSIS OF PTSD USING DSM-IV CRITERIA.

    Anthony J. Rosellini;M.P.H. Murray B. Stein M.D.;M.P.H. Lisa J. Colpe Ph.D.;Steven G. Heeringa

  • Sexual Assault Victimization and Mental Health Treatment, Suicide Attempts, and Career Outcomes Among Women in the US Army.

    Anthony J. Rosellini;Amy E. Street;Robert J. Ursano;Wai Tat Chiu

  • Mental Disorders, Comorbidity, and Pre-enlistment Suicidal Behavior Among New Soldiers in the U.S. Army: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

    Matthew K. Nock;Robert J. Ursano;Steven G. Heeringa;Murray B. Stein

  • Developing and Validating Clinical Questionnaires.

    Anthony J Rosellini;Timothy A Brown

  • Predicting posttraumatic stress disorder following a natural disaster

    Anthony J. Rosellini;Anthony J. Rosellini;Francisca Dussaillant;José R. Zubizarreta;Ronald C. Kessler

  • Understanding the elevated suicide risk of female soldiers during deployments

    A. E. Street;Stephen Edward Gilman;A Rosellini;M. B. Stein

  • Experiential Avoidance as a Mechanism of Change Across Cognitive-Behavioral Therapy in a Sample of Participants with Heterogeneous Anxiety Disorders

    Elizabeth H. Eustis;Nicole Cardona;Maya Nauphal;Shannon Sauer-Zavala

Frequent Co-Authors

Ronald C. Kessler
Ronald C. Kessler Harvard University
Nancy A. Sampson
Nancy A. Sampson Harvard University
Amy E. Street
Amy E. Street VA Boston Healthcare System
Robert J. Ursano
Robert J. Ursano Uniformed Services University of the Health Sciences
Alan M. Zaslavsky
Alan M. Zaslavsky Harvard University
Timothy A. Brown
Timothy A. Brown Boston University
Steven G. Heeringa
Steven G. Heeringa University of Michigan–Ann Arbor
Matthew K. Nock
Matthew K. Nock Harvard University
Henrik Toft Sørensen
Henrik Toft Sørensen Aarhus University
Paul D. Bliese
Paul D. Bliese University of South Carolina

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