Mitchell Schull

19 papers receiving 1.6k citations

Peers

Mitchell Schull
Comparison fields: 5 of 76
  • Environmental Engineering 663
  • Ecology 1.2k
  • Global and Planetary Change 900
  • Ecological Modeling 118
  • Atmospheric Science 304
Replace Sébastien Garrigues with:
Sébastien Garrigues France
K. Didan United States
Álvaro Moreno‐Martínez Spain
Zixiao Jiang China
Dalei Hao United States
Valérie Demarez France
Jaime Nickeson United States
Bruno Smets Belgium
Laurence Hubert‐Moy France
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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 2012378
2 2009362
3 2005220
4 2009155
5 2011131
6 2015120
7 201065
8 201260
9
Generating Vegetation Leaf Area Index Earth System Data Record from Multiple Sensors
200851
10 201146
11 200637
12 201727
13 201812
14 201911
15 20129
16 20208
17 20176
18 20104
19
A GLOBAL MAP OF IRRIGATED AREA AT THE END OF THE LAST MILLENNIUM USING MULTI-SENSOR, TIME-SERIES SATELLITE SENSOR DATA *
20051
20 20101

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 1.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Remote Sensing and LiDAR Applications (6 papers), Plant Water Relations and Carbon Dynamics (6 papers), Land Use and Ecosystem Services (5 papers), Remote-Sensing Image Classification (4 papers), Soil Moisture and Remote Sensing (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), Global and Planetary Change (900 citations), Ecological Modeling (118 citations) and Atmospheric Science (304 citations). Mitchell Schull has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Hugh Turral, Prasad S. Thenkabail, Yuri Knyazikhin, Ranga B. Myneni, Murali Krishna Gumma, Çhandrashekhar Biradar, Naga Manohar Velpuri, G. P. Obi Reddy, Praveen Noojipady 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.

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