Kevin M. Befus Data-verified

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

High Impact

Researcher

Last publication 2026 Last refreshed 2026-05-23

faculty

22 h-index 141 pubs 3,066 cited

Biography and Research Information

OverviewAI-generated summary

Kevin M. Befus's research addresses critical issues in hydrology, focusing on groundwater dynamics, coastal hazards, and environmental modeling. His work investigates the subsurface hydraulic properties of hillsopes using hydrogeophysical inversion of time-lapse electrical resistivity tomography (ERT) data. Befus also examines the complex interactions between sea-level rise, shoreline barriers, and coastal groundwater hazards, with publications projecting climate-related coastal hazards for the US Southeast Atlantic and analyzing changes in liquefaction severity in the San Francisco Bay Area.

Further research includes numerical analysis of seepage faces and subaerial groundwater discharge near water bodies and on uplands. He has also contributed to integrated approaches for evaluating coastal flood hazard adaptation, considering physical, economic, and demographic factors. Befus is involved in developing and maintaining resources for the hydrological modeling community, such as the Groundwater Model Portal (<scp>GroMoPo</scp>), which aims to make models findable, accessible, interoperable, and reusable (FAIR).

With an h-index of 21 and over 2,980 citations across 139 publications, Befus is recognized as a highly cited researcher. He collaborates with colleagues at the University of Arkansas at Fayetteville, including Clinton M. Wood and Mohammadyar Rahimi, with whom he shares multiple publications. Befus maintains an active laboratory website.

Metrics

  • h-index: 22
  • Publications: 141
  • Citations: 3,066

Selected Publications

  • The impact of sea-level and groundwater rise on indoor exposure to volatile organic compounds near contaminated sites in socially vulnerable communities in the San Francisco Bay Area (2026)
    1 citation DOI OpenAlex
  • Assessing the Impact of Reservoir Management on Surrounding Groundwater: Causality, Modeling, and Future Hypothetical Scenarios (2026)
  • Integration of ERT and Geotechnical Investigation for River Restoration: A Case Study of Dam Removal Site Characterization (2026)
  • Seeing Below the Surface: Electrical Geophysics Applications in Dam Safety (2025)
  • Explainable machine learning surrogate modeling for exit gradient prediction in hydraulic structures using numerical simulations (2025)
  • Over, Under, and Through: Hydrologic Connectivity and the Future of Coastal Landscape Salinization (2025)
    3 citations DOI OpenAlex
  • Enhanced submarine groundwater discharge and freshening of a subterranean estuary from rain (2025)
    2 citations DOI OpenAlex
  • Current trends and biases in groundwater modelling using the community-driven groundwater model portal (GroMoPo) (2025)
    3 citations DOI OpenAlex
  • Investigating Seepage through Earthen Dams Using Electrical Resistivity Tomography: Case Studies from Hindsville Lake Dam and Elmdale Lake Dam, Arkansas (2025)
    2 citations DOI OpenAlex
  • Projections of multiple climate-related coastal hazards for the US Southeast Atlantic (2024)
    16 citations DOI OpenAlex
  • Hydrogeophysical inversion using a physics-based catchment model with hydrological and electromagnetic induction data (2024)
  • The projected exposure and response of a natural barrier island system to climate-driven coastal hazards (2024)
    4 citations DOI OpenAlex
  • Shoreline barriers may amplify coastal groundwater hazards with sea-level rise (2024)
    8 citations DOI OpenAlex
  • Evaluation of exit gradient of hydraulic structures with cut-off walls in explainable machine learning surrogate based on numerical models (2024)
    2 citations DOI OpenAlex
  • Challenges Associated with Electrical Resistivity Tomography for Detecting Thin Clay Layers Under Levees: A Case Study of Melvin Price Reach of the Wood River Levee on the Mississippi River, USA (2024)

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Collaboration Network

126 Collaborators 57 Institutions 9 Countries

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