Mitchell Schull

20 papers receiving 1.7k citations

Peers

Mitchell Schull
Comparison fields: 5 of 77
  • Ecology 1.2k
  • Environmental Engineering 690
  • Global and Planetary Change 930
  • Ecological Modeling 123
  • Atmospheric Science 316
Replace Sébastien Garrigues with:
Sébastien Garrigues France
Álvaro Moreno‐Martínez Spain
K. Didan United States
Zixiao Jiang China
Angela Erb United States
Valérie Demarez France
Bruno Smets Belgium
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Citations per year

Countries citing papers authored by Mitchell Schull

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mitchell Schull Line = papers co-authored together Mitchell Schull links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012402
2 2009376
3 2005240
4 2009168
5 2011134
6 2015127
7 201067
8 201264
9
Generating Vegetation Leaf Area Index Earth System Data Record from Multiple Sensors
200854
10 201149
11 200638
12 201727
13 201813
14 201912
15 20129
16 20208
17 20178
18 20104
19 20101
20
A GLOBAL MAP OF IRRIGATED AREA AT THE END OF THE LAST MILLENNIUM USING MULTI-SENSOR, TIME-SERIES SATELLITE SENSOR DATA *
20051

About Mitchell Schull

Mitchell Schull is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Atmospheric Science and Media Technology, having authored 22 papers that have together received 1.8k 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 Ecology (1.2k citations), Environmental Engineering (690 citations), Global and Planetary Change (930 citations), Ecological Modeling (123 citations) and Atmospheric Science (316 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, Venkateswarlu Dheeravath, Murali Krishna Gumma, Naga Manohar Velpuri, Çhandrashekhar Biradar, Praveen Noojipady and Jagath Vithanage. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, International Journal of Remote Sensing, Journal of Hydrometeorology and Proceedings of the National Academy of Sciences.

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.

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