Avishek Chakraborty

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

Associate Professor

University of Arkansas

Also affiliated: Arkansas Children's Hospital (2017); University of Connecticut (2009); University of South Australia (2009–2017); Duke University (2009–2010); University of California, Davis (2009); Texas A&M University (2011–2014)

10 h-index 32 pubs 399 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website

OverviewAI-generated summary

Avishek Chakraborty's research focuses on statistical modeling, with applications spanning environmental science, public health, and medical imaging. He has investigated spatial point patterns, including their analysis in the presence of measurement error and degraded data, as seen in his work on modeling species abundance and habitat associations for waterfowl in the Arkansas Mississippi Alluvial Valley. Chakraborty has also applied statistical modeling techniques to medical imaging, including pulsed terahertz imaging for breast cancer detection in murine tumors. His work on statistical models for large-scale species abundance and habitat associations has implications for conservation and wildlife management. Chakraborty has published 34 papers, which have been cited approximately 400 times, and holds an h-index of 10. He has collaborated with David G. Krementz at the University of Arkansas at Fayetteville.

Metrics

h-index: 10
Publications: 32
Citations: 399

Positions

Associate Professor publications 2016–2026

University of Arkansas at Fayetteville Institution web page

Selected Publications

A novel hierarchical constrained covariance model in multinomial probit regression for single- and multi-response datasets (2026)

Research Square DOI OpenAlex
Habitat associations of wintering dabbling ducks in the Arkansas Mississippi Alluvial Valley: implications for waterfowl management beyond the mallard (2021)

Wildlife Biology 23 citations DOI OpenAlex
Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations (2020)

Journal of the American Statistical Association 5 citations DOI OpenAlex
Quantifying the statistical power of monitoring programs for marine protected areas (2020)

Ecological Applications 12 citations DOI OpenAlex
Constrained Functional Regression of National Forest Inventory Data over Time Using Remote Sensing Observations (2018)

Harvard Dataverse DOI OpenAlex
Effects of landscape structure and temporal habitat dynamics on wintering mallard abundance (2018)

Landscape Ecology 21 citations DOI OpenAlex
Pulsed terahertz imaging of breast cancer in freshly excised murine tumors (2018)

Journal of Biomedical Optics 65 citations DOI OpenAlex
An Empirically Derived Pediatric Cardiac Inotrope Score Associated With Pediatric Heart Surgery (2018)

Seminars in Thoracic and Cardiovascular Surgery 2 citations DOI OpenAlex
Terahertz imaging of freshly excised breast cancer using mouse model (2017)

3 citations DOI OpenAlex
Statistical signal processing for quantitative assessment of pulsed terahertz imaging of human breast tumors (2017)

7 citations DOI OpenAlex
A prognostic tool to predict outcomes in children undergoing the Norwood operation (2017)

Journal of Thoracic and Cardiovascular Surgery 10 citations DOI OpenAlex
Emulation of Numerical Models With Over-Specified Basis Functions (2016)

Technometrics 6 citations DOI OpenAlex