LabCompass

Matthew Churchfield

Engineering · Indiana University

Mid career · publishing since 2006

Publications

178

Citations

6,526

Est. group size

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Matthew Churchfield studies wind energy, focusing on how wind flows through and around wind farms and how atmospheric conditions affect turbine performance. Much of the work involves high-fidelity computer simulations of airflow, including large-scale offshore wind projects and the interactions between neighboring wind farms. The research also develops software tools and simulation methods to model turbulence, atmospheric waves, and turbine wakes.

Wind farm airflow simulationOffshore wind energyAtmospheric boundary layer and gravity wavesHigh-performance computing flow solversTurbine wake modeling and control

Publication activity has been steady over the past decade, generally producing around 10-15 papers per year (recent 2025-2026 counts likely reflect incomplete indexing).

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

In context
Among 1,671 mid career Engineering PIs within our index
Citations: 6,526cohort median 518
h-index: 37cohort median 11
Publications / year (recent): 9.4cohort median 3.6

Typically publishes in teams of ~5 · 20% small-team papers (≤3 authors) · across 20 venues

Publication cadence
Publications per year over the last 10 years — averaging 9.4/year recently
2017: 14 publications172018: 11 publications182019: 10 publications192020: 13 publications202021: 5 publications212022: 16 publications16222023: 11 publications232024: 14 publications242025: 5 publications252026: 1 publication26
Recent publications
Publishes in
  • Journal of Physics Conference Series×20
  • Wind energy science×11
  • Wind Energy×7
  • Energies×4
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)×4
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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 27, 2026.

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