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Jay P. Gore

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1986
Combustion and flame dynamicsAdvanced Combustion Engine TechnologiesRadiative Heat Transfer StudiesFire dynamics and safety researchWind and Air Flow Studies

Publications

246

Citations

4,333

Est. group size

~2

Recurring co-author estimate

Active years

41

Publishing since 1986

Research summary
AI-generated

Jay P. Gore's research centers on combustion engineering, including engine ignition systems, flame dynamics, gas turbine combustor performance, and biomass gasification for CO2 recycling. Much of the work combines experimental measurements with computational and machine-learning methods to study phenomena like lean blowout, laser-induced ignition, and pre-chamber engine combustion. The publication record also includes a small number of unrelated papers on bird nesting observations, which appear to be outside the main engineering research focus.

Combustion and flame dynamicsInternal combustion and gas turbine enginesIgnition and lean blowout phenomenaBiomass gasification and CO2 recyclingMachine learning applications in combustion

Publication output has fluctuated over the past decade with a peak in 2021, followed by a slower and more modest pace of about 3 papers per year in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.2/year recently
2017: 6 publications172018: 13 publications182019: 7 publications192020: 4 publications202021: 19 publications19212022: 2 publications222023: 5 publications232024: 3 publications242025: 5 publications252026: 1 publication26
Recent publications
Publishes in
  • 2018 Joint Propulsion Conference×6
  • Combustion and Flame×5
  • 55th AIAA Aerospace Sciences Meeting×5
  • AIAA Scitech 2021 Forum×5
  • AIAA Propulsion and Energy 2021 Forum×5
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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 20, 2026.

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