Mitch Schull
Impact in
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- Urban Heat Island Mitigation
- Soil Moisture and Remote Sensing
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- Plant Water Relations and Carbon Dynamics
- Climate variability and models
Papers in
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- Soil Moisture and Remote Sensing 2
- Urban Heat Island Mitigation 2
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- Plant Water Relations and Carbon Dynamics 4
- Climate variability and models 1
- Co-authors
- Hadi Jaafar (1 shared paper)Jicheng Liu (2 shared papers)Jifu Yin (2 shared papers)Xiwu Zhan (3 shared papers)Martha C. Anderson (3 shared papers)Christopher Hain (2 shared papers)Liang Sun (1 shared paper)William P. Kustas (1 shared paper)
- Journals
- Remote Sensing of Environment (2 papers)Water Resources Research (1 paper)EGU General Assembly Conference Abstracts (1 paper)NASA STI Repository (National Aeronautics and Space Administration) (1 paper)
- Partner nations
- United StatesChinaLebanon
In The Last Decade
Mitch Schull
5 papers receiving 105 citations
Peers
Comparison fields: 5 of 27
- Environmental Engineering 63
- Global and Planetary Change 63
- Atmospheric Science 37
- Water Science and Technology 22
- Ecology 21
Countries citing papers authored by Mitch Schull
This map shows the geographic impact of Mitch Schull'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 Mitch Schull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitch Schull more than expected).
Fields of papers citing papers by Mitch Schull
This network shows the impact of papers produced by Mitch Schull. 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 Mitch Schull. The network helps show where Mitch Schull may publish in the future.
Co-authors
The 21 scholars most cited alongside Mitch Schull, 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 | 2020 | 41 | |
| 2 | 2022 | 39 | |
| 3 | 2019 | 24 | |
| 4 | A Framework for Mapping Global Evapotranspiration using 375-m VIIRS LST | 2017 | 3 |
| 5 | Integration of Satellite Soil Moisture Observations for Numerical Weather and Water Predictions | 2019 | 2 |
| 6 | 2021 | 0 |
About Mitch Schull
Mitch Schull is a scholar working on Environmental Engineering, Global and Planetary Change, Artificial Intelligence, Atmospheric Science and Civil and Structural Engineering, having authored 6 papers that have together received 109 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (4 papers), Soil Moisture and Remote Sensing (2 papers), Solar Radiation and Photovoltaics (2 papers), Urban Heat Island Mitigation (2 papers), Soil and Unsaturated Flow (1 paper), Climate variability and models (1 paper), Meteorological Phenomena and Simulations (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Environmental Engineering (63 citations), Global and Planetary Change (63 citations), Atmospheric Science (37 citations), Water Science and Technology (22 citations) and Ecology (21 citations). Mitch Schull has collaborated with scholars based in United States, China and Lebanon. Frequent co-authors include Hadi Jaafar, Jicheng Liu, Jifu Yin, Xiwu Zhan, Martha C. Anderson, Christopher Hain, Liang Sun, William P. Kustas, Yun Yang and Jie Xue. Their work appears in journals such as Remote Sensing of Environment, Water Resources Research, EGU General Assembly Conference Abstracts and NASA STI Repository (National Aeronautics and Space Administration).
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.