Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
A
Arghajeet Saha
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Affiliated Researcher
Also affiliated: Pennsylvania State University (2022–2023); University of Kansas (2025); Kansas Geological Survey (2025); Arizona State University (2023)
4 h-index
13 pubs
52 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Arghajeet Saha's research addresses critical environmental and agricultural challenges, with a particular focus on phosphorus cycling and water quality management. His work investigates strategies for optimizing manure application timing and placement to improve water quality, as demonstrated in studies of agricultural landscapes. Saha also explores the potential for closing nutrient loops through eco-prospecting, eco-mining, and eco-refining of phosphorus, aiming to create a more circular phosphorus economy. His research utilizes advanced computational methods, including machine learning, for tasks such as identifying animal feeding operations and improving watershed modeling. Collaborating with colleagues at the University of Arkansas at Fayetteville, Saha has published on topics ranging from livestock data gaps to the potential of wastewater-derived fertilizers. His scholarship metrics include an h-index of 4 and 45 total citations across 13 publications.
Metrics
- h-index: 4
- Publications: 13
- Citations: 52
Positions
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Affiliated Researcher 2024–presentUniversity of Arkansas at Fayetteville Biological and Agruicultural Engineering ORCID
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Assistant Scientist / Professor 2024–presentUniversity of Kansas Kansas Geological Survey ORCID
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Postdoctoral Researcher 2023–2024University of Arkansas at Fayetteville Biological and Agriculrural Engineering ORCID
Selected Publications
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Soil smarts: A taxonomic approach to speed up watershed modeling without sacrificing water quality insights (2025)
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Gaps in U.S. livestock data are a barrier to effective environmental and disease management (2025)
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Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives (2025)
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Machine learning-based identification of animal feeding operations in the United States on a parcel-scale (2025)
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Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives (2024)
Collaboration Network
Top Collaborators
Rebecca Logsdon Muenich
Kyma Technologies (United States)
4 shared publications
In database
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
Kenneth Ruffatto
University of Illinois Urbana-Champaign (US)
2 shared publications
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
Andrew J. Margenot
University of Illinois Urbana-Champaign (US)
2 shared publications
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
Roland D. Cusick
University of Illinois Urbana-Champaign (US)
2 shared publications
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
Barira Rashid
University of Arkansas System
1 shared publication
In database
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
Ting Liu
University of Arkansas System
1 shared publication
In database
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
Lorrayne Miralha
The Ohio State University (US)
1 shared publication
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
Amanda J. Ashworth
United States Department of Agriculture
1 shared publication
In database
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Michelle L. Bell
Korea University (KR)
1 shared publication
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Melanie R. Boudreau
Mississippi State University (US)
1 shared publication
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Stephanie A. Cunningham
Mississippi State University (US)
1 shared publication
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
K. Colton Flynn
Grassland, Soil and Water Research Laboratory (US)
1 shared publication
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Kerry A. Hamilton
Arizona State University (US)
1 shared publication
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Ting Liu
Kyma Technologies (United States)
1 shared publication
In database
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Michael L. Mashtare
Pennsylvania State University (US)
1 shared publication
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Similar Researchers
Based on overlapping research topics
Brian E. Haggard
University of Arkansas at Fayetteville
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Andrew N. Sharpley
University of Arkansas at Fayetteville
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Lawrence G. Berry
University of Arkansas at Fayetteville
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Joshua Blackstock
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Pearl Webb
University of Arkansas at Little Rock
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Paul Bradley DeLaune
University of Arkansas at Fayetteville
Phosphorus and nutrient management
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