James H. Leylek Data-verified

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

High Impact

Researcher

Last publication 2025 Last refreshed 2026-05-23

faculty

24 h-index 76 pubs 2,619 cited

Biography and Research Information

OverviewAI-generated summary

James H. Leylek's research program centers on the application of computational fluid dynamics (CFD) to investigate complex flow phenomena. His work involves the development and utilization of advanced turbulence modeling strategies, including dynamic hybrid RANS-LES approaches, to simulate challenging aerodynamic and hydrodynamic scenarios.

Recent publications demonstrate his focus on diverse applications. These include the numerical analysis of air curtain jet blast deflectors and the investigation of dynamic hybrid turbulence modeling for simulating compound-angle film cooling and normal jets in crossflow. Leylek also studies non-Newtonian fluid behavior, such as blood rheology, and has analyzed the performance of helical grafts for bypass applications.

Leylek leads a research group at the University of Arkansas at Fayetteville and has a history of collaboration with other faculty members, including D. Keith Walters, Cole C. Simmonds, and Joseph P. Simpson. His scholarly output is reflected in a citation count of over 2,600 and an h-index of 24, with 76 total publications.

Metrics

  • h-index: 24
  • Publications: 76
  • Citations: 2,619

Selected Publications

  • Investigation of a Dynamic Hybrid Turbulence Modeling Strategy for CFD Simulation of Compound-Angle Film Cooling (2025)
  • Numerical Analysis of Air Curtain Jet Blast Deflector (2023)
  • Investigation of Dynamic Hybrid RANS-LES Turbulence Modeling for CFD Simulation of a Normal Jet in Crossflow (2023)
  • The Influence of Womersley Number on Non-Newtonian Effects: Transient Computational Study of Blood Rheology (2022)
    8 citations DOI OpenAlex
  • Analysis of Helical Grafts in Steady and Unsteady Flow: Development of a Novel Bypass Graft (2022)
    1 citation DOI OpenAlex

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Collaboration Network

4 Collaborators 1 Institution 1 Country

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