J. L. Eastman
- Global and Planetary Change top 1%
- Atmospheric Science top 2%
- Environmental Engineering top 2%
- Water Science and Technology top 5%
- Ecology top 5%
- Co-authors
- Roger A. PielkeThomas N. ChaseC. D. Peters‐LidardDev NiyogiSujay V. KumarSteven W. RunningGregg MarlandRichard Betts
- Topics
- Climate variability and models (16 papers)Meteorological Phenomena and Simulations (10 papers)Plant Water Relations and Carbon Dynamics (8 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
J. L. Eastman
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Global and Planetary Change 1.6k
- Atmospheric Science 1.0k
- Environmental Engineering 598
- Water Science and Technology 339
- Ecology 281
Countries citing papers authored by J. L. Eastman
This map shows the geographic impact of J. L. Eastman'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 J. L. Eastman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. L. Eastman more than expected).
Fields of papers citing papers by J. L. Eastman
This network shows the impact of papers produced by J. L. Eastman. 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 J. L. Eastman. The network helps show where J. L. Eastman may publish in the future.
Co-authorship network of co-authors of J. L. Eastman
This figure shows the co-authorship network connecting the top 25 collaborators of J. L. Eastman. A scholar is included among the top collaborators of J. L. Eastman 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 J. L. Eastman. J. L. Eastman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 78 | |
| 3 | 49 | |
| 4 | 6 | |
| 5 | Land information system: An interoperable framework for high resolution land surface modelingbreakdown → | 537 |
| 6 | 13 | |
| 7 | The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gasesbreakdown → | 622 |
| 8 | 42 | |
| 9 | 13 | |
| 10 | 81 | |
| 11 | 60 | |
| 12 | 11 | |
| 13 | 18 | |
| 14 | 32 | |
| 15 | 103 | |
| 16 | 1 | |
| 17 | 23 | |
| 18 | 24 | |
| 19 | Grassland/atmosphere response to changing climate: Coupling regional and local scales | 1 |
| 20 | 22 |
About J. L. Eastman
J. L. Eastman is a scholar working on Global and Planetary Change, Atmospheric Science and Forestry, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (10 papers) and Plant Water Relations and Carbon Dynamics (8 papers). The work is most often cited by research in Global and Planetary Change (1.6k citations), Atmospheric Science (1.0k citations) and Environmental Engineering (598 citations). J. L. Eastman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Roger A. Pielke, Thomas N. Chase, C. D. Peters‐Lidard, Dev Niyogi, Sujay V. Kumar, Steven W. Running, Gregg Marland, Richard Betts, John O. Niles and Paul A. Dirmeyer. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.
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.