Justin R. Chimka Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

9 h-index 71 pubs 1,439 cited

Research Areas

Analytical Chemistry and Chromatography Chemometrics and Data Analysis Water Quality Monitoring Statistical Model Selection Regression Analysis Environmental Chemistry

Links

ORCID Research Group

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OverviewAI-generated summary

Justin R. Chimka's research focuses on the development and application of chemometric models for analytical chemistry, particularly in the context of water quality monitoring. His work has addressed the quantification of specific chemical compounds in drinking water, such as nitrite and chloronitramide anion, employing techniques like second derivative spectroscopy and ion chromatography with various detection methods.

Chimka has also investigated statistical methodologies for model selection, specifically in the areas of multiple linear regression and logistic regression. These efforts aim to provide robust frameworks for choosing appropriate models under budget constraints, a crucial aspect of efficient data analysis in research and applied settings. His scholarship metrics include an h-index of 9, with 71 total publications and 1,439 total citations. He is a Co-Principal Investigator on a $7,000,000 grant from the National Science Foundation (NSF) for the "Arkansas Smart Transportation Research Incubator through Data Engineering and Science" initiative. Chimka collaborates with faculty members at the University of Arkansas at Fayetteville, including Julian L. Fairey and Ronald L. Rardin, and leads a research group.

Metrics

  • h-index: 9
  • Publications: 71
  • Citations: 1,439

Selected Publications

  • Chloronitramide Anion Quantitation in Tap Waters by Ion Chromatography with Electrical Conductivity and Ultraviolet Absorbance Detection (2026) DOI
  • Budget Constrained Model Selection for Logistic Regression (2025) DOI
  • Nitrite Quantification by Second Derivative Chemometric Models Mitigates Natural Organic Matter Interferences under Chloraminated Drinking Water Distribution System Conditions (2022) DOI
  • Budget constrained model selection for multiple linear regression (2021) DOI

Federal Grants 1 $7,000,000 total

NSF Co-PI

E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science

EPSCoR RII: E-RISE $7,000,000

Collaborators

Researchers in the database who share publications

Julian L. Fairey University of Arkansas at Fayetteville 2 shared publications Ronald L. Rardin University of Arkansas at Fayetteville 2 shared publications Rylie N. Hickman University of Arkansas at Fayetteville 1 shared publication Duong Duc Thien University of Arkansas at Fayetteville 1 shared publication Ashley D. Pifer University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

Rylie N. Hickman University of Arkansas at Fayetteville
Analytical Chemistry and Chromatography Water Quality Monitoring
Related 2 shared topics
Duong Duc Thien University of Arkansas at Fayetteville
Analytical Chemistry and Chromatography Environmental Chemistry
Related 2 shared topics
Julian L. Fairey University of Arkansas at Fayetteville
Analytical Chemistry and Chromatography Water Quality Monitoring
Related 2 shared topics