Robert J. Elbin Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

9 h-index 23 pubs 784 cited

Research Areas

Traumatic Brain Injury Research Child and Adolescent Health Mental Health Research Topics Health Disparities and Outcomes Behavioral and Psychological Studies Injury Epidemiology and Prevention Neurological disorders and treatments Trauma and Emergency Care Studies

Links

ORCID Lab Website Research Group

Is this your profile? Verify and claim your profile

OverviewAI-generated summary

Robert J. Elbin's research centers on the assessment, management, and treatment of concussion, particularly in adolescent athletes. His work explores the impact of various factors, including race, ethnicity, sex, and a history of depression, on concussion-related outcomes and suicide attempts in youth. Elbin has investigated the use of objective multimodal concussion indices, such as brain electrical activity and electronic near point of convergence, to aid in diagnosing concussions. He has also examined the sensitivity and specificity of on-field visible signs of concussion in professional sports and analyzed temporal differences in concussion symptom factors in adolescents. His research considers the influence of age, sex, body mass index, and sport type on performance tests in healthy athletes.

Metrics

h-index: 9
Publications: 23
Citations: 784

Selected Publications

Depressive Symptoms in Concussed Youth Athletes: Factor Analysis of the Patient Health Questionnaire Modified for Adolescents (PHQ-A) (2026) DOI
Changes Across Recovery On The SCOAT6 And Multidomain Assessments Following Concussion (2025) DOI
Electronic Near Point of Convergence: A Tool to Aid the Assessment of Concussion (2023) DOI
Exploration of Race and Ethnicity, Sex, Sport-Related Concussion, Depression History, and Suicide Attempts in US Youth (2022) DOI
The Role of Age, Sex, Body Mass Index, and Sport Type on the Dynamic Exertion Test in Healthy Athletes: A Cross-Sectional Study (2022) DOI
Temporal Differences in Concussion Symptom Factors in Adolescents following Sports-Related Concussion (2022) DOI
Concussion assessment potentially aided by use of an objective multimodal concussion index (2021) DOI
Validation of a Machine Learning Brain Electrical Activity–Based Index to Aid in Diagnosing Concussion Among Athletes (2021) DOI
Clinical considerations for the assessment, management, and treatment of concussion in females (2021) DOI