Christopher J. Paciorek
- Health, Toxicology and Mutagenesis top 0.2%
- Air Quality and Health Impacts 27
- Climate Change and Health Impacts 9
- Environmental Engineering top 0.5%
- Air Quality Monitoring and Forecasting 11
- Atmospheric Science top 1%
- Meteorological Phenomena and Simulations 9
- Global and Planetary Change top 1%
- Climate variability and models 11
- Speech and Hearing top 1%
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- Statistical Methods and Bayesian Inference 10
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- Ecology and Vegetation Dynamics Studies 8
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- Bayesian Methods and Mixture Models 6
- Co-authors
- Mark J. SchervishYang LiuHelen SuhJeff D. YanoskyPetros KoutrakisFrancine LadenRobin PuettJames S. Risbey
- Journals
- Science (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Christopher J. Paciorek
71 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 152
- Health, Toxicology and Mutagenesis 2.0k
- Environmental Engineering 1.3k
- Atmospheric Science 1.4k
- Global and Planetary Change 1.3k
- Speech and Hearing 227
Countries citing papers authored by Christopher J. Paciorek
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
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
The 25 scholars most cited alongside Christopher J. Paciorek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 18 | |
| 9 | 2019 | 2 | |
| 10 | 2016 | 25 | |
| 11 | 2014 | 165 | |
| 12 | 2012 | 12 | |
| 13 | 2012 | 72 | |
| 14 | 2011 | 95 | |
| 15 | 2011 | 78 | |
| 16 | 2009 | 387 | |
| 17 | 2008 | 2 | |
| 18 | 2008 | 165 | |
| 19 | Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package | 2007 | 2 |
| 20 | Nonstationary Covariance Functions for Gaussian Process Regression | 2003 | 199 |
About Christopher J. Paciorek
Christopher J. Paciorek is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability and Environmental Engineering, having authored 74 papers that have together received 4.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (27 papers), Climate variability and models (11 papers), Air Quality Monitoring and Forecasting (11 papers), Statistical Methods and Bayesian Inference (10 papers), Climate Change and Health Impacts (9 papers), Meteorological Phenomena and Simulations (9 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.0k citations), Environmental Engineering (1.3k citations) and Atmospheric Science (1.4k citations). Christopher J. Paciorek has collaborated with scholars based in United States, Canada and United Kingdom. Frequent 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. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.