Lawson Connor Data-verified

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

Assistant Professor

Last publication 2025 Last refreshed 2026-05-16

faculty

5 h-index 28 pubs 138 cited

Biography and Research Information

OverviewAI-generated summary

Lawson Connor's research investigates the economic and policy drivers of agricultural practices in the United States, with a focus on soil health and crop insurance. His work examines how factors such as crop insurance participation influence the adoption of cover crops, as demonstrated in his study using Indiana county-level data. Connor also explores the methodological frameworks for identifying cover crops through remote sensing and the actuarial implications of prevented planting coverage. His research extends to the economic and policy aspects of climate-smart soil health practices and the determinants of market participation among producers in different regions, including Kyrgyzstan. Connor has published 28 papers with 135 citations, and his work is supported by collaborations with researchers at the University of Arkansas at Fayetteville and Arkansas State University.

Metrics

  • h-index: 5
  • Publications: 28
  • Citations: 138

Selected Publications

  • Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain (2025)
  • Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo (2025)
  • Economic and Policy Drivers of Climate-Smart Soil Health Practices in the United States (2025)
    3 citations DOI OpenAlex
  • Determinants of Market Participation among Milk Producers in Kyrgyzstan (2025)
    1 citation DOI OpenAlex
  • Actuarial implications of prevented planting coverage (2024)
    4 citations DOI OpenAlex
  • Diversified crop rotations mitigate agricultural losses from dry weather. (2024)
    1 citation DOI OpenAlex
  • Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation (2023)
    20 citations DOI OpenAlex

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Collaboration Network

41 Collaborators 18 Institutions 3 Countries

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