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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Using administrative data to identify U.S. Army soldiers at high-risk of perpetrating minor violent crimes
Anthony J. Rosellini, John Monahan, Amy E. Street, et al.
Journal of Psychiatric Research (2016) Vol. 84, pp. 128-136
Open Access | Times Cited: 14

Showing 14 citing articles:

Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm
Shuihua Wang‎, Preetha Phillips, Zhengchao Dong, et al.
Neurocomputing (2017) Vol. 272, pp. 668-676
Closed Access | Times Cited: 180
Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark
Jaimie L. Gradus, Anthony J. Rosellini, Erzsébet Horváth‐Puhó, et al.
JAMA Psychiatry (2019) Vol. 77, Iss. 1, pp. 25-25
Open Access | Times Cited: 121
Risk Factors Associated With Attempted Suicide Among US Army Soldiers Without a History of Mental Health Diagnosis
Robert J. Ursano, Ronald C. Kessler, James A. Naifeh, et al.
JAMA Psychiatry (2018) Vol. 75, Iss. 10, pp. 1022-1022
Open Access | Times Cited: 41
The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): progress toward understanding suicide among soldiers
James A. Naifeh, Holly B. Herberman Mash, Murray B. Stein, et al.
Molecular Psychiatry (2018) Vol. 24, Iss. 1, pp. 34-48
Open Access | Times Cited: 36
Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries
Jaimie L. Gradus, Anthony J. Rosellini, Erzsébet Horváth‐Puhó, et al.
American Journal of Epidemiology (2021) Vol. 190, Iss. 12, pp. 2517-2527
Open Access | Times Cited: 23
Pre-trauma predictors of severe psychiatric comorbidity 5 years following traumatic experiences
Jaimie L. Gradus, Anthony J. Rosellini, Péter Szentkúti, et al.
International Journal of Epidemiology (2022) Vol. 51, Iss. 5, pp. 1593-1603
Open Access | Times Cited: 11
Sex‐Specific Risk Profiles for Suicide Among Persons with Substance Use Disorders in Denmark
Rachel Sayko Adams, Tammy Jiang, Anthony J. Rosellini, et al.
Addiction (2021) Vol. 116, Iss. 10, pp. 2882-2892
Open Access | Times Cited: 13
Predicting Sexual Assault Perpetration in the U.S. Army Using Administrative Data
Anthony J. Rosellini, John Monahan, Amy E. Street, et al.
American Journal of Preventive Medicine (2017) Vol. 53, Iss. 5, pp. 661-669
Open Access | Times Cited: 15
Improving risk prediction accuracy for new soldiers in the U.S. Army by adding self-report survey data to administrative data
Samantha L. Bernecker, Anthony J. Rosellini, Matthew K. Nock, et al.
BMC Psychiatry (2018) Vol. 18, Iss. 1
Open Access | Times Cited: 12
Risk and Protective Factors for Difficulty Controlling Violent Behavior in National Guard and Reserve Service Members
Miranda Worthen, Sujit D. Rathod, Gregory H. Cohen, et al.
Journal of Interpersonal Violence (2017) Vol. 36, Iss. 3-4, pp. 1049-1067
Open Access | Times Cited: 5
Postwar interpersonal violence: Reflections and new research directions
Liam Kennedy
Aggression and Violent Behavior (2020) Vol. 53, pp. 101429-101429
Closed Access | Times Cited: 2
Generating a Descriptive Model to Identify Military Personnel Incurring in Disciplinary Actions: A Case Study in the Ecuadorean Navy
Milton Mendieta, Gabriel Cobeña
Smart innovation, systems and technologies (2018), pp. 381-393
Closed Access
LONGITUDINAL DATA PREDICTION IN EHR: COMPARISON OF GLMM AND MACHINE LEARNING METHODS
Wenqiu Cao
(2019)
Open Access
Self-equity as a trustworthiness measure: The relationship among self-equity and security clearance eligibility adjudications in US Army recruits
Ryan F. Kelly
Military Psychology (2021) Vol. 33, Iss. 5, pp. 277-295
Open Access
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