Match tier Likely match
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-08-08

R. G. Vincent

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

UAMS

Also affiliated: Roswell Park Comprehensive Cancer Center (1973–1981); Memorial Sloan Kettering Cancer Center (2025); Thoracic Surgery Foundation (1975); Office of the Chief Scientist (1979); Cancer Research Center (1984); Center for Cancer Research (1976)

Faculty Researcher

12 h-index 18 pubs 783 cited

Research Areas

Biomedical Subjects

  • Humans
  • Lung Neoplasms
  • Middle Aged
  • Prognosis
  • Male
  • Adenocarcinoma
  • Female
  • Aged
  • Carcinoembryonic Antigen
  • Neoplasm Metastasis
  • Time Factors
  • Carcinoma, Small Cell
  • Antineoplastic Agents
  • Carcinoma, Bronchogenic
  • Adult

OverviewAI-generated summary

R. G. Vincent's research focuses on the application of machine learning in medical imaging and the enhancement of community engagement in research. Their recent work includes a 2025 publication on machine-learning-based quantification of lung shunt fraction from 99mTc-MAA SPECT/CT for selective internal radiation therapy of liver tumors. Another 2025 publication addresses enhancing community engagement through a premortem analysis for community-engaged research.

Vincent has a scholarly h-index of 12, with a total of 18 publications cited 783 times. Key collaborators include Tiffany Haynes, Amanda Benton, Camille Hart, and Terri Wells, all from the University of Arkansas for Medical Sciences, with whom Vincent has shared one publication each.

Metrics

  • h-index: 12
  • Publications: 18
  • Citations: 783

Selected Publications

  • Enhancing Community Engagement in Research: A Premortem Analysis for Community-Engaged Research (2025)
    American Journal of Public Health 1 citation DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

8 Collaborators 1 Institution 1 Country

Top Collaborators

View profile →
View profile →
View profile →
View profile →
View profile →
View profile →
View profile →

Similar Researchers

Based on overlapping research topics

Ram Natarajan University of Arkansas at Fayetteville
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
Reza Iranzad University of Arkansas at Fayetteville
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Good match 4 shared topics
Michael Lynn University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
X Zhang University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
Cody Felty University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
Elizabeth Shinn University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics