William Kleiber
Impact in
- Environmental Engineering top 2%
- Soil Geostatistics and Mapping
- Global and Planetary Change top 5%
- Climate variability and models
- Hydrology and Drought Analysis
Papers in
-
- Soil Geostatistics and Mapping 19
- Remote Sensing and LiDAR Applications 6
-
- Climate variability and models 17
- Hydrology and Drought Analysis 14
- Atmospheric and Environmental Gas Dynamics 9
- Co-authors
- Balaji RajagopalanTilmann GneitingMarc G. GentonMartin SchlatherRichard W. KatzA. VerdinDouglas NychkaChris Funk
- Journals
- Water Resources Research (7 papers)Environmetrics (4 papers)Stochastic Environmental Research and Risk Assessment (3 papers)Journal of Computational and Graphical Statistics (2 papers)Statistica Sinica (2 papers)
- Partner nations
- United StatesChileGermany
In The Last Decade
William Kleiber
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Environmental Engineering 531
- Global and Planetary Change 622
- Atmospheric Science 439
- Water Science and Technology 177
- Statistics and Probability 103
Countries citing papers authored by William Kleiber
This map shows the geographic impact of William Kleiber'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 William Kleiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Kleiber more than expected).
Fields of papers citing papers by William Kleiber
This network shows the impact of papers produced by William Kleiber. 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 William Kleiber. The network helps show where William Kleiber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Kleiber, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 2 | |
| 12 | Improving particle filter performance with a generalized random field model of observation errors | 2017 | 2 |
| 13 | 2017 | 1 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2015 | 171 | |
| 17 | 2014 | 5 | |
| 18 | 2012 | 53 | |
| 19 | 2012 | 13 | |
| 20 | 2011 | 35 |
About William Kleiber
William Kleiber is a scholar working on Environmental Engineering, Global and Planetary Change, Atmospheric Science, Economics and Econometrics and Statistics and Probability, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (19 papers), Climate variability and models (17 papers), Hydrology and Drought Analysis (14 papers), Meteorological Phenomena and Simulations (10 papers), Spatial and Panel Data Analysis (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers), Remote Sensing and LiDAR Applications (6 papers) and Precipitation Measurement and Analysis (6 papers). The work is most often cited by research in Environmental Engineering (531 citations), Global and Planetary Change (622 citations), Atmospheric Science (439 citations), Water Science and Technology (177 citations) and Statistics and Probability (103 citations). William Kleiber has collaborated with scholars based in United States, Chile and Germany. Frequent co-authors include Balaji Rajagopalan, Tilmann Gneiting, Marc G. Genton, Martin Schlather, Richard W. Katz, A. Verdin, Douglas Nychka, Chris Funk, Bri‐Mathias Hodge and Adrian E. Raftery. Their work appears in journals such as Water Resources Research, Environmetrics, Stochastic Environmental Research and Risk Assessment, Journal of Computational and Graphical Statistics and Statistica Sinica.
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.