Christopher J. Paciorek

6.7k total citations
74 papers, 4.1k citations indexed

About

Christopher J. Paciorek is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Christopher J. Paciorek has authored 74 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Health, Toxicology and Mutagenesis, 19 papers in Atmospheric Science and 18 papers in Environmental Engineering. Recurrent topics in Christopher J. Paciorek's work include Air Quality and Health Impacts (27 papers), Climate variability and models (11 papers) and Air Quality Monitoring and Forecasting (11 papers). Christopher J. Paciorek is often cited by papers focused on Air Quality and Health Impacts (27 papers), Climate variability and models (11 papers) and Air Quality Monitoring and Forecasting (11 papers). Christopher J. Paciorek collaborates with scholars based in United States, Canada and United Kingdom. Christopher J. Paciorek's co-authors include Mark J. Schervish, Yang Liu, Helen Suh, Jeff D. Yanosky, Petros Koutrakis, Francine Laden, Robin Puett, James S. Risbey, Valérie Ventura and Adam A. Szpiro and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Christopher J. Paciorek

71 papers receiving 4.0k citations

Peers

Countries citing papers authored by Christopher J. Paciorek

Since Specialization

Citations

This map shows the geographic impact of Christopher J. Paciorek'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 Christopher J. Paciorek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Paciorek more than expected).

Fields of papers citing papers by Christopher J. Paciorek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Paciorek. 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 Christopher J. Paciorek. The network helps show where Christopher J. Paciorek may publish in the future.

Co-authorship network of co-authors of Christopher J. Paciorek

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Paciorek. A scholar is included among the top collaborators of Christopher J. Paciorek 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 Christopher J. Paciorek. Christopher J. Paciorek 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	nimbleHMC: An R package for Hamiltonian Monte Carlosampling in nimble 2024 ·The Journal of Open Source Software ·Daniel Turek, Perry de Valpine, Christopher J. Paciorek	0
2	On the uncertainty of long-period return values of extreme daily precipitation 2024 ·Frontiers in Climate ·Michael Wehner, (unknown), Mark D. Risser, Christopher J. Paciorek, Dáithí A. Stone, Pardeep Pall	5
3	Comment on “Five Decades of Observed Daily Precipitation Reveal Longer and More Variable Drought Events Across Much of the Western United States” 2024 ·Geophysical Research Letters ·Christopher J. Paciorek, Michael Wehner	2
4	Forecasting Tropical Annual Maximum Wet‐Bulb Temperatures Months in Advance From the Current State of ENSO 2024 ·Geophysical Research Letters ·Yi Zhang, William R. Boos, Isaac M. Held, Christopher J. Paciorek, S. Fueglistaler	4
5	8000-year doubling of Midwestern forest biomass driven by population- and biome-scale processes 2022 ·Science ·Ann Raiho, Christopher J. Paciorek, Andria Dawson, Stephen T. Jackson, David J. Mladenoff, John W. Williams, J. S. McLachlan	6
6	A framework for detection and attribution of regional precipitation change: Application to the United States historical record 2022 ·Climate Dynamics ·Mark D. Risser, William D. Collins, Michael Wehner, Travis O’Brien, Christopher J. Paciorek, John P. OʼBrien, Christina M. Patricola, Huanping Huang, Paul Ullrich, Burlen Loring	7
7	The forests of the midwestern United States at Euro-American settlement: Spatial and physical structure based on contemporaneous survey data 2021 ·PLoS ONE ·Christopher J. Paciorek, Charles V. Cogbill, Jody A. Peters, John W. Williams, David J. Mladenoff, Andria Dawson, J. S. McLachlan	11
8	Quantifying the influence of natural climate variability on in situ measurements of seasonal total and extreme daily precipitation 2021 ·Climate Dynamics ·Mark D. Risser, Michael Wehner, John P. OʼBrien, Christina M. Patricola, Travis O’Brien, William D. Collins, Christopher J. Paciorek, Huanping Huang	18
9	Nested Adaptation of MCMC Algorithms 2019 ·Bayesian Analysis ·(unknown), Perry de Valpine, Yves F. Atchadé, Daniel Turek, (unknown), Christopher J. Paciorek	2
10	Statistically-Estimated Tree Composition for the Northeastern United States at Euro-American Settlement 2016 ·PLoS ONE ·Christopher J. Paciorek, Simon Goring, Andrew L. Thurman, Charles V. Cogbill, John W. Williams, David J. Mladenoff, Jody A. Peters, Jun Zhu, J. S. McLachlan	25
11	Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors 2014 ·Environmental Health ·Jeff D. Yanosky, Christopher J. Paciorek, Francine Laden, Jaime E. Hart, Robin Puett, Duanping Liao, Helen Suh	165
12	Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru 2012 ·Emerging infectious diseases ·Hsien-Ho Lin, Sonya Shin, Carmen Contreras, Luis Asencios, Christopher J. Paciorek, Ted Cohen	12
13	Spatial and temporal patterns of particulate matter sources and pollution in four communities in Accra, Ghana 2012 ·The Science of The Total Environment ·Michael S. Rooney, Raphael E. Arku, Kathie L. Dionisio, Christopher J. Paciorek, Ari B. Friedman, Heather Carmichael, Zheng Zhou, Allison Hughes, Jose Vallarino, Samuel Agyei‐Mensah, John D. Spengler, Majid Ezzati	72
14	Does More Accurate Exposure Prediction Necessarily Improve Health Effect Estimates? 2011 ·Epidemiology ·Adam A. Szpiro, Christopher J. Paciorek, Lianne Sheppard	95
15	Modeling Spatial Patterns of Traffic-Related Air Pollutants in Complex Urban Terrain 2011 ·Environmental Health Perspectives ·Leonard Zwack, Christopher J. Paciorek, John D. Spengler, Jonathan I. Levy	78
16	Estimating Regional Spatial and Temporal Variability of PM _2.5 Concentrations Using Satellite Data, Meteorology, and Land Use Information 2009 ·Environmental Health Perspectives ·Yang Liu, Christopher J. Paciorek, Petros Koutrakis	387
17	Predicting Chronic Fine and Coarse Particulate Exposures Using Spatio-Temporal Models for the Northeastern and Midwestern U.S. 2008 ·Epidemiology ·Jeff D. Yanosky, Christopher J. Paciorek, Helen Suh	2
18	Measurement error caused by spatial misalignment in environmental epidemiology 2008 ·Biostatistics ·Alexandros Gryparis, Christopher J. Paciorek, Ariana Zeka, Joel Schwartz, Brent A. Coull	165
19	Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package 2007 ·SHILAP Revista de lepidopterología ·Christopher J. Paciorek	2
20	Nonstationary Covariance Functions for Gaussian Process Regression 2003 ·Neural Information Processing Systems ·Christopher J. Paciorek, Mark J. Schervish	199

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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