Andrew Kingston Data-verified

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

High Impact

Associate Professor

Last publication 2025 Last refreshed 2026-04-18

faculty

22 h-index 144 pubs 1,695 cited

Biography and Research Information

OverviewAI-generated summary

Andrew Kingston's research program focuses on the development and application of advanced imaging techniques, particularly in the context of X-ray microscopy and computed tomography. His work investigates methods for dose reduction in X-ray imaging through techniques like classical ghost imaging, exploring the optimization of masks and utilizing deep learning algorithms to enhance image quality while minimizing radiation exposure. Kingston also studies the application of X-ray computed tomography for detailed material analysis, including the 3D imaging of root system architecture in plants and the failure mechanisms in geomaterials.

His publications include studies on synchrotron-based X-ray fluorescence ghost imaging and the design of universal masks for hard X-rays. Kingston's research network includes collaborators such as Fumiya Watanabe, Janak Paudel, and John Nichols, all from the University of Arkansas at Little Rock, with whom he has co-authored multiple publications. With an h-index of 23 and over 1,700 citations across 146 publications, Kingston is recognized as a highly cited researcher.

Metrics

  • h-index: 22
  • Publications: 144
  • Citations: 1,695

Selected Publications

  • <i>Z</i>-Scheme Tungsten Copper Oxide for Photocatalytic Water Splitting (2025)
  • A single-step low-cost synthesis of tungsten oxide nanostructures by resistive hot wire oxidation (2024)
    1 citation DOI OpenAlex

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Collaboration Network

101 Collaborators 27 Institutions 7 Countries

Top Collaborators

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