Christopher Henry
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Computational Biologist
Also affiliated: University of Arkansas System (2026)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Christopher Henry's research focuses on computational biology and agricultural conservation programs. He has published on topics related to agricultural competitions, such as the 'Most Crop per Drop' contest, and their potential to promote conservation. His work includes developing R code for analyzing the effectiveness of these programs. Henry has also been involved in publications related to livestock manure management and environmental quality, with contributions to the "Manure Matters" series and the EC179 publication. His recent activities include contributions to a 2025 workshop on artificial intelligence in biological research and an assessment of Arkansas irrigation yield contests. Henry collaborates with researchers at the University of Arkansas at Fayetteville, including Qiuqiong Huang, Eva Stephani Caroline, and Gertrude Dotse Bampoe.
Metrics
- Publications: 3
Positions
-
Computational Biologist 2007–presentArgonne National Laboratory Mathematics and Computer Science ORCID
-
Computational Biologist publications 2025–2026University of Arkansas at Fayetteville ORCID
Selected Publications
-
R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest" (2026)
-
R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest" (2026)
-
Water productivity and irrigation water management practices: A study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest (2026)
-
Water Use Efficiency and Irrigation Water Management Practices: a study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest (2026)
-
Assessment of Arkansas Irrigation Yield Contest 'Most Crop Per Drop' (2025)Journal of the Arkansas Academy of Science OpenAlex
Collaboration Network
Top Collaborators
- Water Use Efficiency and Irrigation Water Management Practices: a study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- Water productivity and irrigation water management practices: A study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- Assessment of Arkansas Irrigation Yield Contest 'Most Crop Per Drop'
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
- Water Use Efficiency and Irrigation Water Management Practices: a study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- Water productivity and irrigation water management practices: A study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
- Water Use Efficiency and Irrigation Water Management Practices: a study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- Water productivity and irrigation water management practices: A study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- Assessment of Arkansas Irrigation Yield Contest 'Most Crop Per Drop'
- Water Use Efficiency and Irrigation Water Management Practices: a study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- Water productivity and irrigation water management practices: A study of the Arkansas Irrigation Yield 'Most Crop per Drop' Contest
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
- R Code for "Can Competition-Based Programs Promote Conservation in Agriculture? Evidence from the 'Most Crop per Drop' Contest"
Similar Researchers
Based on overlapping research topics