Landon Reed Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
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Biography and Research Information
OverviewAI-generated summary
Landon Reed's research focuses on the application of advanced computational methods in scientific research. His recent work includes the development of a heterogeneous graph neural network for identifying hadronically decayed tau leptons at the High Luminosity Large Hadron Collider (LHC). This research leverages machine learning techniques to analyze complex data from particle physics experiments.
In addition to his work in high-energy physics, Reed has also investigated the predictive validity of the Nine-Hole-Peg Test for older adults, contributing to the field of geriatric assessment. He has co-authored publications with colleagues at the University of Central Arkansas, including Jacquie Rainey and Lorrie George-Paschal. Reed's scholarship metrics include an h-index of 3, with a total of 8 publications and 53 citations.
Metrics
- h-index: 3
- Publications: 8
- Citations: 53
Selected Publications
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Evaluating the Predictive Validity of the Nine-Hole-Peg Test for Older Adults (2023)
Collaboration Network
Top Collaborators
- Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC
- Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC
- Evaluating the Predictive Validity of the Nine-Hole-Peg Test for Older Adults
- Evaluating the Predictive Validity of the Nine-Hole-Peg Test for Older Adults
- Evaluating the Predictive Validity of the Nine-Hole-Peg Test for Older Adults
- Evaluating the Predictive Validity of the Nine-Hole-Peg Test for Older Adults
- Evaluating the Predictive Validity of the Nine-Hole-Peg Test for Older Adults
- Evaluating the Predictive Validity of the Nine-Hole-Peg Test for Older Adults
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