Mitchell Schull
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications 6
- Soil Moisture and Remote Sensing 4
- Ecology top 1%
- Remote Sensing in Agriculture 15
- Global and Planetary Change top 2%
- Plant Water Relations and Carbon Dynamics 6
- Land Use and Ecosystem Services 5
- Ecological Modeling top 5%
- Species Distribution and Climate Change 3
- Atmospheric Science top 5%
- Remote Sensing and Land Use 3
-
- Remote-Sensing Image Classification 4
- Co-authors
- Prasad S. ThenkabailHugh TurralYuri KnyazikhinRanga B. MyneniG. P. Obi ReddyNaga Manohar VelpuriÇhandrashekhar BiradarPraveen Noojipady
- Journals
- Remote Sensing of Environment (7 papers)Remote Sensing (3 papers)International Journal of Applied Earth Observation and Geoinformation (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Mitchell Schull
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 76
- Environmental Engineering 663
- Ecology 1.2k
- Global and Planetary Change 900
- Ecological Modeling 118
- Atmospheric Science 304
Countries citing papers authored by Mitchell Schull
This map shows the geographic impact of Mitchell 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 Mitchell Schull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Schull more than expected).
Fields of papers citing papers by Mitchell Schull
This network shows the impact of papers produced by Mitchell 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 Mitchell Schull. The network helps show where Mitchell Schull may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitchell 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 | 8 | |
| 2 | 2019 | 11 | |
| 3 | 2018 | 12 | |
| 4 | 2017 | 27 | |
| 5 | 2017 | 6 | |
| 6 | 2015 | 120 | |
| 7 | 2012 | 378 | |
| 8 | 2012 | 60 | |
| 9 | 2012 | 9 | |
| 10 | 2011 | 131 | |
| 11 | 2010 | 4 | |
| 12 | 2010 | 65 | |
| 13 | 2010 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 362 | |
| 16 | 2009 | 155 | |
| 17 | Generating Vegetation Leaf Area Index Earth System Data Record from Multiple Sensors | 2008 | 51 |
| 18 | 2006 | 37 | |
| 19 | A GLOBAL MAP OF IRRIGATED AREA AT THE END OF THE LAST MILLENNIUM USING MULTI-SENSOR, TIME-SERIES SATELLITE SENSOR DATA * | 2005 | 1 |
| 20 | 2005 | 220 |
About Mitchell Schull
Mitchell Schull is a scholar working on Environmental Engineering, Ecological Modeling and Ecology, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Plant Water Relations and Carbon Dynamics (6 papers), Remote Sensing and LiDAR Applications (6 papers), Land Use and Ecosystem Services (5 papers), Soil Moisture and Remote Sensing (4 papers), Remote-Sensing Image Classification (4 papers), Species Distribution and Climate Change (3 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Environmental Engineering (663 citations), Ecology (1.2k citations) and Global and Planetary Change (900 citations). Mitchell Schull has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Prasad S. Thenkabail, Hugh Turral, Yuri Knyazikhin, Ranga B. Myneni, G. P. Obi Reddy, Naga Manohar Velpuri, Çhandrashekhar Biradar, Praveen Noojipady, Murali Krishna Gumma and Venkateswarlu Dheeravath. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Journal of Quantitative Spectroscopy and Radiative Transfer and International Journal of 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.