Jack Fekete
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Research Assistant
Graduate Student Researcher
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Biography and Research Information
OverviewAI-generated summary
Jack Fekete's research focuses on geochronology and sedimentary analysis, particularly concerning the Cedar Mountain Formation in central Utah. His work investigates methods for accurately determining the maximum depositional age of sedimentary rocks. This includes evaluating the impact of sample selection, such as handpicking zircons, on age estimations. Fekete also explores the application of machine learning techniques for classifying detrital zircon U-Pb age distributions. He has collaborated with researchers including Glenn R. Sharman, Celina Suarez, Clayton Forster, and Benjamin L. Howard at the University of Arkansas at Fayetteville, contributing to eight publications with an h-index of 2 and 7 total citations.
Metrics
- h-index: 2
- Publications: 8
- Citations: 7
Selected Publications
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Cloverly Chronostratigraphy Data (2026)
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Cloverly Chronostratigraphy Data (2026)
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Classifying detrital zircon U-Pb age distributions using automated machine learning (2025)
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Leaving no zircon unturned: quantifying the impact of handpicking sharply faceted detrital zircon on maximum depositional age analysis (2025)
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Classifying Detrital Zircon U-Pb Age Distributions Using Automated Machine Learning (2025)
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Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp> (2024)
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CLASSIFYING DETRITAL ZIRCON U-PB AGE DISTRIBUTIONS USING MACHINE LEARNING (2022)
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CONSTRAINING THE CONTROLS OF DEPOSITIONAL ENVIRONMENT ON ABUNDANCE OF SYNDEPOSITIONAL ZIRCONS WITHIN THE LOWER CRETACEOUS CEDAR MOUNTAIN FORMATION (2022)
Collaboration Network
Top Collaborators
- Leaving no zircon unturned: quantifying the impact of handpicking sharply faceted detrital zircon on maximum depositional age analysis
- Classifying Detrital Zircon U-Pb Age Distributions Using Automated Machine Learning
- Classifying detrital zircon U-Pb age distributions using automated machine learning
- Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp>
- Leaving no zircon unturned: quantifying the impact of handpicking sharply faceted detrital zircon on maximum depositional age analysis
- Classifying Detrital Zircon U-Pb Age Distributions Using Automated Machine Learning
- Classifying detrital zircon U-Pb age distributions using automated machine learning
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Cloverly Chronostratigraphy Data
- Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp>
- Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp>
- Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp>
- Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp>
- Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp>
- Tectono‐sedimentary history of the upper Cedar Mountain Formation, Central Utah, <scp>USA</scp>
- Leaving no zircon unturned: quantifying the impact of handpicking sharply faceted detrital zircon on maximum depositional age analysis
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