Rachel Carroll

1.1k total citations
48 papers, 807 citations indexed

About

Rachel Carroll is a scholar working on Economics and Econometrics, Statistics and Probability and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Rachel Carroll has authored 48 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 17 papers in Statistics and Probability and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Rachel Carroll's work include Statistical Methods and Bayesian Inference (14 papers), Spatial and Panel Data Analysis (10 papers) and demographic modeling and climate adaptation (7 papers). Rachel Carroll is often cited by papers focused on Statistical Methods and Bayesian Inference (14 papers), Spatial and Panel Data Analysis (10 papers) and demographic modeling and climate adaptation (7 papers). Rachel Carroll collaborates with scholars based in United States, Belgium and Norway. Rachel Carroll's co-authors include Shanshan Zhao, Alexandra J. White, Dale P. Sandler, Christel Faes, Russell S. Kirby, Mehreteab Aregay, Andrew Lawson, Nicole M. Niehoff, Katie M. O’Brien and Christopher R. Prentice and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Health Perspectives.

In The Last Decade

Rachel Carroll

44 papers receiving 798 citations

Peers

Countries citing papers authored by Rachel Carroll

Since Specialization

Citations

This map shows the geographic impact of Rachel Carroll's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rachel Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Carroll more than expected).

Fields of papers citing papers by Rachel Carroll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel Carroll. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rachel Carroll. The network helps show where Rachel Carroll may publish in the future.

Co-authorship network of co-authors of Rachel Carroll

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Carroll. A scholar is included among the top collaborators of Rachel Carroll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rachel Carroll. Rachel Carroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Estimating PM2.5 concentrations at public schools in North Carolina using multiple data sources and interpolation methods 2025 ·Scientific Reports ·Rachel Carroll, (unknown), Satish Kumar Pandey, (unknown), Thomas D. Snyder	0
2	Supply and quality of colonoscopy according to the characteristics of gastroenterologists in the French population-based colorectal-cancer screening program 2023 ·World Journal of Gastroenterology ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Rachel Carroll, Jérôme Nicolet	1
3	Examining Mental Health Disorders in Overweight and Obese Pediatric Patients 2022 ·Journal of Pediatric Health Care ·Rachel Carroll, (unknown), (unknown), Christopher R. Prentice	2
4	Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic? 2021 ·Social Science & Medicine ·Rachel Carroll, Christopher R. Prentice	13
5	Using spatial and temporal modeling to visualize the effects of U.S. state issued stay at home orders on COVID-19 2021 ·Scientific Reports ·Rachel Carroll, Christopher R. Prentice	10
6	A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps 2021 ·PLoS ONE ·(unknown), Rachel Carroll, Michael J. Schirripa, (unknown), Kevin D. Friedland, J. Christopher Taylor	29
7	An analysis of hurricane impact across multiple cancers: Accessing spatio-temporal variation in cancer-specific survival with Hurricane Katrina and Louisiana SEER data 2020 ·Health & Place ·(unknown), (unknown), (unknown), (unknown), Rachel Carroll	6
8	Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 2020 ·BMC Cancer ·Ming Wang, Emily Wasserman, (unknown), Rachel Carroll, Shanshan Zhao, Lijun Zhang, Raymond J. Hohl, Eugene J. Lengerich, Alicia C. McDonald	3
9	Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey 2019 ·Spatial and Spatio-temporal Epidemiology ·(unknown), Christel Faes, Russell S. Kirby, Mehreteab Aregay, Rachel Carroll, Yannick Vandendijck	3
10	A data-driven approach for estimating the change-points and impact of major events on disease risk 2019 ·Spatial and Spatio-temporal Epidemiology ·Rachel Carroll, Agbogbenkou Têvi Déla-dem Lawson, Shanshan Zhao	3
11	Trends in Colorectal Cancer Incidence and Survival in Iowa SEER Data: The Timing of It All 2018 ·Clinical Colorectal Cancer ·Rachel Carroll, Shanshan Zhao	15
12	Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data 2017 ·International Journal of Environmental Research and Public Health ·Rachel Carroll, Andrew Lawson, Christel Faes, Russell S. Kirby, Mehreteab Aregay, (unknown)	7
13	A Robust, Reproducible Method For Evaluating The Suitability of Disparate Observational Databases for Pooled Analysis, Using The Omop Common Data Model 2017 ·Value in Health ·(unknown), Laura McDonald, Rachel Carroll, (unknown), (unknown), Sreeram V Ramagopalan	1
14	Comparing multilevel and multiscale convolution models for small area aggregated health data 2017 ·Spatial and Spatio-temporal Epidemiology ·Mehreteab Aregay, Andrew Lawson, Christel Faes, Russell S. Kirby, Rachel Carroll, (unknown)	4
15	Assessment of spatial variation in breast cancer-specific mortality using Louisiana SEER data 2017 ·Social Science & Medicine ·Rachel Carroll, Andrew Lawson, Chandra L. Jackson, Shanshan Zhao	19
16	Disease mapping of zero-excessive mesothelioma data in Flanders 2016 ·Annals of Epidemiology ·Thomas Neyens, Andrew Lawson, Russell S. Kirby, (unknown), (unknown), Mehreteab Aregay, Rachel Carroll, Tim S. Nawrot, Christel Faes	16
17	Space-time variation of respiratory cancers in South Carolina: a flexible multivariate mixture modeling approach to risk estimation 2016 ·Annals of Epidemiology ·Rachel Carroll, Andrew Lawson, Russell S. Kirby, Christel Faes, Mehreteab Aregay, (unknown)	8
18	Bayesian model selection methods in modeling small area colon cancer incidence 2015 ·Annals of Epidemiology ·Rachel Carroll, Andrew Lawson, Christel Faes, Russell S. Kirby, Mehreteab Aregay, (unknown)	6
19	Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping 2015 ·Spatial and Spatio-temporal Epidemiology ·Rachel Carroll, Agbogbenkou Têvi Déla-dem Lawson, Christel Faes, Russell S. Kirby, Mehreteab Aregay, (unknown)	71
20	Impact of Income on Small Area Low Birth Weight Incidence Using Multiscale Models 2015 ·AIMS Public Health ·Mehreteab Aregay, Andrew Lawson, Christel Faes, Russell S. Kirby, Rachel Carroll, (unknown)	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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