Recep Erol Data-verified

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

Researcher

UA Little Rock
Last publication 2023 Last refreshed 2026-04-18

faculty

4 h-index 12 pubs 56 cited

Research Areas

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Research Group

OverviewAI-generated summary

Recep Erol's research interests include the application of artificial intelligence and machine learning techniques to analyze complex data. His recent publications demonstrate a focus on areas such as analyzing cyber influence campaigns on YouTube using custom tracking tools, and developing predictive features for modeling refugee counts. He has also investigated the post-compression evaluation of convolutional neural networks with explainable AI methods.

Erol's work involves collaborations with researchers at the University of Arkansas at Little Rock, including Mariofanna Milanova, Nitin Agarwal, and Thomas Marcoux, as well as Esther Mead from Southern Arkansas University. His scholarly output includes 12 publications, with a total of 54 citations and an h-index of 4. Erol is actively publishing, with his most recent work appearing in 2023.

Metrics

  • h-index: 4
  • Publications: 12
  • Citations: 56

Selected Publications

  • Convolutional Neural Network Post-Compression Evaluation with Explainable AI (2023)
    DOI OpenAlex
  • Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker (2021)
    4 citations DOI OpenAlex
  • Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts (2021)
    1 citation DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

7 Collaborators 1 Institution 1 Country

Top Collaborators

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