Joseph Guinness
- Environmental Engineering top 5%
- Soil Geostatistics and Mapping 17
- Remote Sensing and LiDAR Applications 3
- Statistics and Probability top 5%
- Statistical Methods and Inference 6
- Environmental Chemistry top 10%
- Soil and Water Nutrient Dynamics 3
- Global and Planetary Change top 10%
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- Spatial and Panel Data Analysis 5
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- Remote Sensing in Agriculture 4
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- Gaussian Processes and Bayesian Inference 4
- Geochemistry and Geologic Mapping 3
- Co-authors
- Montserrat FuentesMatthias KatzfußAndrew Zammit‐MangionAndrew O. FinleyMatthew J. HeatonRobert B. GramacyReinhard FurrerRajarshi Guhaniyogi
- Journals
- Journal of Computational and Graphical Statistics (3 papers)Biometrics (3 papers)Statistica Sinica (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Joseph Guinness
36 papers receiving 663 citations
Peers
Comparison fields: 5 of 103
- Environmental Engineering 314
- Statistics and Probability 84
- Environmental Chemistry 78
- Global and Planetary Change 130
- Atmospheric Science 95
Countries citing papers authored by Joseph Guinness
This map shows the geographic impact of Joseph Guinness'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 Joseph Guinness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Guinness more than expected).
Fields of papers citing papers by Joseph Guinness
This network shows the impact of papers produced by Joseph Guinness. 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 Joseph Guinness. The network helps show where Joseph Guinness may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph Guinness, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 0 | |
| 9 | 2019 | 56 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 39 | |
| 12 | 2019 | 12 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 241 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 89 | |
| 17 | 2017 | 6 | |
| 18 | 2016 | 20 | |
| 19 | 2015 | 52 | |
| 20 | 2014 | 8 |
About Joseph Guinness
Joseph Guinness is a scholar working on Environmental Engineering, Statistics and Probability and Environmental Chemistry, having authored 40 papers that have together received 688 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (17 papers), Statistical Methods and Inference (6 papers), Spatial and Panel Data Analysis (5 papers), Remote Sensing in Agriculture (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Remote Sensing and LiDAR Applications (3 papers), Soil and Water Nutrient Dynamics (3 papers) and Geochemistry and Geologic Mapping (3 papers). The work is most often cited by research in Environmental Engineering (314 citations), Statistics and Probability (84 citations) and Environmental Chemistry (78 citations). Joseph Guinness has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Montserrat Fuentes, Matthias Katzfuß, Andrew Zammit‐Mangion, Andrew O. Finley, Matthew J. Heaton, Robert B. Gramacy, Reinhard Furrer, Rajarshi Guhaniyogi, Finn Lindgren and Abhirup Datta. Their work appears in journals such as Journal of Computational and Graphical Statistics, Biometrics, Statistica Sinica, Journal of Agricultural Biological and Environmental Statistics and Journal of Environmental Quality.
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.