Mitchell Schull

2.2k total citations
22 papers, 1.7k citations indexed

About

Mitchell Schull is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Mitchell Schull has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 13 papers in Environmental Engineering and 12 papers in Global and Planetary Change. Recurrent topics in Mitchell Schull's work include Remote Sensing in Agriculture (15 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Mitchell Schull is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Mitchell Schull collaborates with scholars based in United States, Australia and China. Mitchell Schull's co-authors include Hugh Turral, Prasad S. Thenkabail, Yuri Knyazikhin, Ranga B. Myneni, Murali Krishna Gumma, Venkateswarlu Dheeravath, Çhandrashekhar Biradar, Praveen Noojipady, Naga Manohar Velpuri and G. P. Obi Reddy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Mitchell Schull

19 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mitchell Schull United States 13 1.2k 900 663 373 304 22 1.7k
Sébastien Garrigues France 17 1.3k 1.1× 1.1k 1.2× 981 1.5× 437 1.2× 392 1.3× 26 1.9k
K. Didan United States 3 1.4k 1.2× 803 0.9× 721 1.1× 380 1.0× 273 0.9× 5 1.7k
Álvaro Moreno‐Martínez Spain 22 1.2k 1.0× 1.1k 1.3× 529 0.8× 231 0.6× 366 1.2× 47 1.9k
Zixiao Jiang China 4 1.4k 1.1× 744 0.8× 699 1.1× 380 1.0× 267 0.9× 10 1.7k
Dalei Hao United States 25 1.1k 0.9× 1.2k 1.3× 629 0.9× 249 0.7× 575 1.9× 84 2.0k
Valérie Demarez France 21 1.4k 1.2× 880 1.0× 773 1.2× 627 1.7× 256 0.8× 45 1.8k
Jaime Nickeson United States 14 1.1k 0.9× 961 1.1× 685 1.0× 196 0.5× 344 1.1× 32 1.7k
Bruno Smets Belgium 12 877 0.7× 864 1.0× 583 0.9× 179 0.5× 303 1.0× 26 1.5k
T. Maiersperger United States 10 1.2k 1.0× 797 0.9× 695 1.0× 284 0.8× 197 0.6× 14 1.6k
Benjamin Dechant South Korea 20 1.6k 1.4× 1.5k 1.7× 484 0.7× 592 1.6× 269 0.9× 42 2.3k

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-authorship network of co-authors of Mitchell Schull

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Schull. A scholar is included among the top collaborators of Mitchell Schull based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mitchell Schull. Mitchell Schull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fang, Li, Xiwu Zhan, Jifu Yin, et al.. (2020). An Intercomparison Study of Algorithms for Downscaling SMAP Radiometer Soil Moisture Retrievals. Journal of Hydrometeorology. 21(8). 1761–1775. 8 indexed citations
2.
Fang, Li, Xiwu Zhan, Mitchell Schull, et al.. (2019). Evapotranspiration Data Product from NESDIS GET-D System Upgraded for GOES-16 ABI Observations. Remote Sensing. 11(22). 2639–2639. 11 indexed citations
3.
Fang, Li, Xiwu Zhan, Christopher Hain, et al.. (2018). An Assessment of the Impact of Land Thermal Infrared Observation on Regional Weather Forecasts Using Two Different Data Assimilation Approaches. Remote Sensing. 10(4). 625–625. 12 indexed citations
4.
Wang, Wenhui, Changyong Cao, Yan Bai, Slawomir Blonski, & Mitchell Schull. (2017). Assessment of the NOAA S-NPP VIIRS Geolocation Reprocessing Improvements. Remote Sensing. 9(10). 974–974. 27 indexed citations
5.
Zhan, Xiwu, Li Fang, Jicheng Liu, et al.. (2017). Fusing microwave and optical satellite observations for high resolution soil moisture data products. 2519–2522. 6 indexed citations
6.
Houborg, Rasmus, Matthew F. McCabe, Alessandro Cescatti, et al.. (2015). Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC). Remote Sensing of Environment. 159. 203–221. 120 indexed citations
7.
Knyazikhin, Yuri, Mitchell Schull, Pauline Stenberg, et al.. (2012). Hyperspectral remote sensing of foliar nitrogen content. Proceedings of the National Academy of Sciences. 110(3). E185–92. 378 indexed citations
8.
Houborg, Rasmus, Martha C. Anderson, Feng Gao, Mitchell Schull, & Carmelo Cammalleri. (2012). Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements. Nova Science Publishers (Nova Science Publishers, Inc.). 7302–7305. 9 indexed citations
9.
Zhao, Feng, Alan H. Strahler, Crystal Schaaf, et al.. (2012). Measuring gap fraction, element clumping index and LAI in Sierra Forest stands using a full-waveform ground-based lidar. Remote Sensing of Environment. 125. 73–79. 60 indexed citations
10.
Zhao, Feng, Xiaoyuan Yang, Mitchell Schull, et al.. (2011). Measuring effective leaf area index, foliage profile, and stand height in New England forest stands using a full-waveform ground-based lidar. Remote Sensing of Environment. 115(11). 2954–2964. 131 indexed citations
11.
Carmona, P., Mitchell Schull, Yuri Knyazikhin, & Filiberto Pla. (2010). The application of spectral invariants for discrimination of crops using CHRIS-PROBA data. esa ? sp578. 1–4. 4 indexed citations
12.
Knyazikhin, Yuri, Mitchell Schull, Liang Xu, Ranga B. Myneni, & Arindam Samanta. (2010). Canopy spectral invariants. Part 1: A new concept in remote sensing of vegetation. Journal of Quantitative Spectroscopy and Radiative Transfer. 112(4). 727–735. 65 indexed citations
13.
Schull, Mitchell, Liang Xu, Yuri Knyazikhin, & Ranga B. Myneni. (2010). A physical interpretation of the correlation between canopy albedo and nitrogen using hyperspectral data. 1–4. 1 indexed citations
14.
Wang, Zhuosen, Crystal Schaaf, Yuri Knyazikhin, et al.. (2010). Canopy vertical structure using MODIS Bidirectional Reflectance data. 1–4. 1 indexed citations
15.
Thenkabail, Prasad S., Çhandrashekhar Biradar, Praveen Noojipady, et al.. (2009). Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium. International Journal of Remote Sensing. 30(14). 3679–3733. 362 indexed citations
16.
Biradar, Çhandrashekhar, Prasad S. Thenkabail, Praveen Noojipady, et al.. (2009). A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing. International Journal of Applied Earth Observation and Geoinformation. 11(2). 114–129. 155 indexed citations
17.
Ganguly, Sangram, Arindam Samanta, Mitchell Schull, et al.. (2008). Generating Vegetation Leaf Area Index Earth System Data Record from Multiple Sensors. Remote Sensing of Environment. 112(12). 51 indexed citations
18.
Hu, Jiannan, Bin Tan, Dong Huang, et al.. (2006). Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency. Remote Sensing of Environment. 107(1-2). 334–347. 37 indexed citations
19.
Thenkabail, Prasad S., Çhandrashekhar Biradar, Hugh Turral, & Mitchell Schull. (2005). A GLOBAL MAP OF IRRIGATED AREA AT THE END OF THE LAST MILLENNIUM USING MULTI-SENSOR, TIME-SERIES SATELLITE SENSOR DATA *. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1 indexed citations
20.
Thenkabail, Prasad S., Mitchell Schull, & Hugh Turral. (2005). Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data. Remote Sensing of Environment. 95(3). 317–341. 220 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sébastien Garrigues Breakdown of academic impact, for papers by K. Didan Breakdown of academic impact, for papers by Álvaro Moreno‐Martínez Breakdown of academic impact, for papers by Zixiao Jiang Breakdown of academic impact, for papers by Dalei Hao Breakdown of academic impact, for papers by Valérie Demarez Breakdown of academic impact, for papers by Jaime Nickeson Breakdown of academic impact, for papers by Bruno Smets Breakdown of academic impact, for papers by T. Maiersperger Breakdown of academic impact, for papers by Benjamin Dechant
Rankless by CCL
2026