Jason A. Tullis Source Confirmed
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Professor / Department Chair
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Jason A. Tullis is a Professor and Department Chair at the University of Arkansas at Fayetteville. His research focuses on the application of geospatial technologies, machine learning, and cyberinfrastructure to address challenges in data analysis and reproducibility. He has investigated the limitations of geospatial data in the context of COVID-19 and explored interpretable machine learning for understanding environmental drivers of crop yield, specifically maize and soybean.
His work also extends to remote sensing for spatiotemporal characterization of agricultural regions and includes developing frameworks for analyzing planetary surface features, such as sublimation on Mars. Tullis has published 43 papers, accumulating 1,226 citations, and holds an h-index of 13. He collaborates with researchers including Jackson Cothren, Malcolm Williamson, Cassandra Howe, and Aryabrata Basu.
Metrics
- h-index: 13
- Publications: 43
- Citations: 1,226
Selected Publications
- Harvesting insights: interpretable machine learning to understand environmental drivers of U.S. maize and soybean yield (2026) DOI
- Spatiotemporal Characterization of Soybean Phenology in the Arkansas Delta Region Using Multi-Source Remotely Sensed Data from 2002 to 2020 (2025) DOI
- Framework for Mapping Sublimation Features on Mars’ South Polar Cap Using Object-Based Image Analysis (2025) DOI
- A review of cyberinfrastructure for machine learning and big data in the geosciences (2022) DOI
- Context for Reproducibility and Replicability in Geospatial Unmanned Aircraft Systems (2022) DOI
- Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19 (2021) DOI
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