Casey Jelsema
Impact in
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- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Hydrology and Drought Analysis
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- Tree-ring climate responses
- Geology and Paleoclimatology Research
- Cryospheric studies and observations
Papers in
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- Soil Geostatistics and Mapping 3
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- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Co-authors
- Shyamal D. Peddada (2 shared papers)Kevin J. Anchukaitis (1 shared paper)Laia Andreu‐Hayles (1 shared paper)Baatarbileg Nachin (1 shared paper)Neil Pederson (1 shared paper)Amy Hessl (1 shared paper)Benjamin I. Cook (1 shared paper)Oyunsanaa Byambasuren (1 shared paper)
- Journals
- Forensic Science International (2 papers)Journal of Statistical Computation and Simulation (1 paper)International Journal of Coal Geology (1 paper)Science Advances (1 paper)Journal of Statistical Software (1 paper)
- Partner nations
- United StatesIsraelMongolia
In The Last Decade
Casey Jelsema
12 papers receiving 368 citations
Peers
Comparison fields: 5 of 130
- Global and Planetary Change 90
- Atmospheric Science 71
- Biological Psychiatry 7
- Applied Psychology 11
- Human-Computer Interaction 11
Countries citing papers authored by Casey Jelsema
This map shows the geographic impact of Casey Jelsema'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 Casey Jelsema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Jelsema more than expected).
Fields of papers citing papers by Casey Jelsema
This network shows the impact of papers produced by Casey Jelsema. 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 Casey Jelsema. The network helps show where Casey Jelsema may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Jelsema, 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 | 2016 | 151 | |
| 2 | 2018 | 123 | |
| 3 | 2016 | 57 | |
| 4 | 2017 | 10 | |
| 5 | 2017 | 7 | |
| 6 | 2018 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2013 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2022 | 1 |
About Casey Jelsema
Casey Jelsema is a scholar working on Environmental Engineering, Statistics and Probability, Genetics, Economics and Econometrics and Global and Planetary Change, having authored 12 papers that have together received 372 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (3 papers), Forensic and Genetic Research (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Spatial and Panel Data Analysis (2 papers), Gun Ownership and Violence Research (1 paper), Tree-ring climate responses (1 paper) and Disability Education and Employment (1 paper). The work is most often cited by research in Global and Planetary Change (90 citations), Atmospheric Science (71 citations), Biological Psychiatry (7 citations), Applied Psychology (11 citations) and Human-Computer Interaction (11 citations). Casey Jelsema has collaborated with scholars based in United States, Israel and Mongolia. Frequent co-authors include Shyamal D. Peddada, Kevin J. Anchukaitis, Laia Andreu‐Hayles, Baatarbileg Nachin, Neil Pederson, Amy Hessl, Benjamin I. Cook, Oyunsanaa Byambasuren, Caroline Leland and Hanqin Tian. Their work appears in journals such as Forensic Science International, Journal of Statistical Computation and Simulation, International Journal of Coal Geology, Science Advances and Journal of Statistical Software.
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.