Match tier Likely match
Presence Current · Arkansas
Last published 2024
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Deasia Hagan

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

UA Little Rock

Unknown Researcher

2 h-index 2 pubs 7 cited

Research Areas

OverviewAI-generated summary

Deasia Hagan is a researcher at the University of Arkansas at Little Rock whose work focuses on data processing and analysis. Her research investigates methods for improving the efficiency and scalability of data management tasks. Hagan's recent publications include "Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine" (2023) and "A scalable MapReduce-based design of an unsupervised entity resolution system" (2024). These studies explore techniques for organizing and resolving data without predefined labels. Hagan collaborates with other researchers at the University of Arkansas at Little Rock, including Nicholas Kofi Akortia Hagan, John R. Talburt, and Kris E. Anderson. Her scholarly output includes 2 publications and has garnered 7 citations, with an h-index of 2.

Metrics

  • h-index: 2
  • Publications: 2
  • Citations: 7

Selected Publications

  • A scalable MapReduce-based design of an unsupervised entity resolution system (2024)
    Frontiers in Big Data 2 citations DOI OpenAlex
  • Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine (2023)
    Lecture notes in networks and systems 5 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

4 Collaborators 1 Institution 1 Country

Top Collaborators

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