LabCompass

Kevin J. Disotell

Engineering · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2010
Fluid Dynamics and Turbulent FlowsAnalytical Chemistry and SensorsAerodynamics and Fluid Dynamics ResearchAdvanced Sensor Technologies ResearchWind and Air Flow Studies

Publications

31

Citations

347

Est. group size

~2

Recurring co-author estimate

Active years

17

Publishing since 2010

Research summary
AI-generated

Kevin J. Disotell works on experimental and computational fluid dynamics, with a focus on wind tunnel testing, aerodynamics, and validating computer flow simulations (CFD) against physical measurements. His work spans topics like airfoil stall behavior, atmospheric boundary-layer simulation, and testing infrastructure such as wind tunnels and digital twin models for aerodynamic vehicles. This research supports the design and validation of aircraft, wind turbines, and other vehicles that interact with airflow.

Wind tunnel testing and designComputational fluid dynamics (CFD) validationAerodynamics of vehicles and airfoilsBoundary-layer flow studiesDigital twin modeling for aerospace systems

Publication output has been modest and irregular over the last decade, with a gap in 2020 and 2025, but shows a notable uptick with three publications projected for 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.2/year recently
2017: 2 publications172018: 1 publication182019: 2 publications19202021: 2 publications212022: 1 publication222023: 1 publication232024: 1 publication24252026: 3 publications326
Recent publications
Publishes in
  • SAE International Journal of Passenger Vehicle Systems×2
  • AIAA Aviation 2019 Forum×2
  • SAE technical papers on CD-ROM/SAE technical paper series×2
  • Experiments in Fluids×1
  • Fluids×1
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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