Match tier Likely match
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-10-06

Daniel Berleant

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.

Professor

Also affiliated: California Institute of Technology (1989); Jet Propulsion Laboratory (1989); Iowa State University (2000–2020); University of Arkansas System (2023–2025); The University of Texas at Austin (1988–2002)

20 h-index 121 pubs 1,759 cited

  • Software
  • Natural Language Processing
  • Database Management Systems
  • MEDLINE
  • PubMed
  • Periodicals as Topic
  • User-Computer Interface
  • Information Storage and Retrieval
  • Computational Biology
  • Abstracting and Indexing
  • Artificial Intelligence
  • Data Mining
  • Genomics
  • Expert Systems
  • Humans

Biography and Research Information

OverviewAI-generated summary

Daniel Berleant's research focuses on information science, with a particular emphasis on the application of computational methods to medical and scientific literature. He has investigated techniques for mining MEDLINE, exploring the optimal granularity for extracting information from abstracts, sentences, or phrases. His work also delves into the representation and propagation of uncertainty in quantitative and qualitative reasoning, examining methods such as Dempster-Shafer theory and interval-based arithmetic for random variables.

Berleant has explored the intersection of simulation and healthcare, contributing to a review of discrete-event simulation in healthcare settings. His scholarship includes developing tools like Statool for distribution envelope determination, which aids in interval-based arithmetic on random variables. His extensive publication record, with over 125 publications and an h-index of 20, reflects a sustained contribution to these fields. He has a history of collaboration with researchers at the University of Arkansas at Little Rock and Arkansas State University, including Peng-Hung Tsai and Richard S. Segall, with whom he shares multiple co-authored publications.

Metrics

  • h-index: 20
  • Publications: 121
  • Citations: 1,759

Positions

  • Professor publications 2006–2025
    University of Arkansas at Little Rock Institution web page

Selected Publications

  • Generative AI in Higher Education: The Good, the Bad, and the Ugly (2026)
    Computer DOI OpenAlex
  • Epidemiology, risk factors, and prevention strategies of multiple myeloma cancer: a systematic review (2025)
    Medical Research Archives 1 citation DOI OpenAlex
  • How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence (2025)
    Healthcare 1 citation DOI OpenAlex
  • Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival (2025)
    Healthcare 1 citation DOI OpenAlex
  • REVIEW AND RECOMMENDATIONS FOR HEALTH INFORMATICS IN SUB-SAHARAN AFRICAN COUNTRIES: BETWEEN OPPORTUNITIES AND CHALLENGES (2025)
    Medical Research Archives 2 citations DOI OpenAlex
  • Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data (2025)
    Preprints.org DOI OpenAlex
  • Effect of information communication technology and immunization on infant mortality in Nigeria (2025)
    World Journal of Advanced Research and Reviews 4 citations DOI OpenAlex
  • An Information Quality Framework for Managed Health Care (2024)
    Journal of Healthcare Leadership 5 citations DOI OpenAlex
  • Predicting Future Participation of Women in Space by Analyzing Past Trends (2024)
    Proceedings DOI OpenAlex
  • A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence (2024)
    Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics DOI OpenAlex
  • A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence (2024)
    Proceedings 3 citations DOI OpenAlex
  • ASI: Accuracy-Stability Index for Evaluating Deep Learning Models (2023)
  • ASI: Accuracy-Stability Index for Evaluating Deep Learning Models (2023)
    arXiv (Cornell University) DOI OpenAlex
  • Using Discrete-Event Simulation to Balance Staff Allocation and Patient Flow between Clinic and Surgery (2023)
    Modelling—International Open Access Journal of Modelling in Engineering Science 5 citations DOI OpenAlex
  • Visual Question Answering (VQA) on Images with Superimposed Text (2023)
    Lecture notes in networks and systems 3 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

113 Collaborators 32 Institutions 3 Countries

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