Jan U.H. Eitel
- Environmental Engineering top 0.2%
- Remote Sensing and LiDAR Applications 34
- Ecology top 0.5%
- Remote Sensing in Agriculture 50
- Rangeland and Wildlife Management 13
- Global and Planetary Change top 1%
- Plant Water Relations and Carbon Dynamics 29
- Fire effects on ecosystems 12
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- Forest ecology and management 14
- Ecological Modeling top 2%
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- Climate change and permafrost 12
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- Leaf Properties and Growth Measurement 10
- Co-authors
- Lee A. VierlingDan S. LongTroy S. MagneyE. Raymond HuntPaul E. GesslerAlistair M. S. SmithCraig S. T. DaughtryDavid R. Huggins
- Journals
- Remote Sensing of Environment (14 papers)Agricultural and Forest Meteorology (9 papers)Remote Sensing (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jan U.H. Eitel
93 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 104
- Environmental Engineering 2.1k
- Ecology 2.8k
- Global and Planetary Change 1.4k
- Nature and Landscape Conservation 745
- Ecological Modeling 243
Countries citing papers authored by Jan U.H. Eitel
This map shows the geographic impact of Jan U.H. Eitel'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 Jan U.H. Eitel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan U.H. Eitel more than expected).
Fields of papers citing papers by Jan U.H. Eitel
This network shows the impact of papers produced by Jan U.H. Eitel. 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 Jan U.H. Eitel. The network helps show where Jan U.H. Eitel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan U.H. Eitel, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 26 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2017 | 24 | |
| 14 | 2016 | 83 | |
| 15 | 2016 | 13 | |
| 16 | Exploring Techniques for Integrating Mobile Technology into Field-Based Environmental Education | 2015 | 16 |
| 17 | Estimating aboveground biomass of low-stature Arctic shrubs with terrestrial LiDAR | 2014 | 1 |
| 18 | 2014 | 140 | |
| 19 | Localizing Adventure Learning: Teachers and Students as Expedition Leaders and Members | 2012 | 1 |
| 20 | 2009 | 62 |
About Jan U.H. Eitel
Jan U.H. Eitel is a scholar working on Environmental Engineering, Ecology, Global and Planetary Change, Ecological Modeling and Nature and Landscape Conservation, having authored 96 papers that have together received 4.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (50 papers), Remote Sensing and LiDAR Applications (34 papers), Plant Water Relations and Carbon Dynamics (29 papers), Forest ecology and management (14 papers), Rangeland and Wildlife Management (13 papers), Climate change and permafrost (12 papers), Fire effects on ecosystems (12 papers) and Leaf Properties and Growth Measurement (10 papers). The work is most often cited by research in Environmental Engineering (2.1k citations), Ecology (2.8k citations), Global and Planetary Change (1.4k citations), Nature and Landscape Conservation (745 citations) and Ecological Modeling (243 citations). Jan U.H. Eitel has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lee A. Vierling, Dan S. Long, Troy S. Magney, E. Raymond Hunt, Paul E. Gessler, Alistair M. S. Smith, Craig S. T. Daughtry, David R. Huggins, Natalie T. Boelman and Heather E. Greaves. Their work appears in journals such as Remote Sensing of Environment, Agricultural and Forest Meteorology, Remote Sensing, Environmental Research Letters and IEEE Transactions on Geoscience and Remote Sensing.
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.