M. A. Schull

500 total citations
14 papers, 397 citations indexed

About

M. A. Schull is a scholar working on Ecology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, M. A. Schull has authored 14 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 6 papers in Global and Planetary Change and 3 papers in Ecological Modeling. Recurrent topics in M. A. Schull's work include Remote Sensing in Agriculture (9 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Species Distribution and Climate Change (3 papers). M. A. Schull is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Species Distribution and Climate Change (3 papers). M. A. Schull collaborates with scholars based in United States, Spain and United Kingdom. M. A. Schull's co-authors include Arup Samanta, Sangram Ganguly, Ranga B. Myneni, Yuri Knyazikhin, Nikolay V. Shabanov, R. R. Nemani, C. Milesi, Jagath Vithanage, Praveen Noojipady and Naga Manohar Velpuri and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and Biogeosciences.

In The Last Decade

M. A. Schull

13 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Schull United States 8 289 238 172 86 69 14 397
Maciej Bartold Poland 12 282 1.0× 200 0.8× 170 1.0× 57 0.7× 96 1.4× 41 435
Jai Singh Parihar India 13 223 0.8× 191 0.8× 159 0.9× 89 1.0× 115 1.7× 24 477
Gaolong Zhu China 8 270 0.9× 263 1.1× 165 1.0× 71 0.8× 66 1.0× 15 389
H. Makhmara France 4 348 1.2× 313 1.3× 251 1.5× 109 1.3× 96 1.4× 5 537
Eric Chavanon France 8 292 1.0× 198 0.8× 212 1.2× 80 0.9× 58 0.8× 15 402
Harikishan Jayanthi United States 9 251 0.9× 343 1.4× 194 1.1× 110 1.3× 67 1.0× 15 529
Jorge Sánchez-Zapero Spain 10 244 0.8× 201 0.8× 169 1.0× 64 0.7× 69 1.0× 14 348
Yaotong Cai China 10 321 1.1× 291 1.2× 139 0.8× 56 0.7× 125 1.8× 20 480
Xinyao Xie China 14 322 1.1× 389 1.6× 109 0.6× 87 1.0× 76 1.1× 30 531
Francis Canisius Canada 12 337 1.2× 201 0.8× 272 1.6× 106 1.2× 137 2.0× 23 527

Countries citing papers authored by M. A. Schull

Since Specialization
Citations

This map shows the geographic impact of M. A. 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 M. A. Schull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Schull more than expected).

Fields of papers citing papers by M. A. Schull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. 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 M. A. Schull. The network helps show where M. A. Schull may publish in the future.

Co-authorship network of co-authors of M. A. Schull

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Schull. A scholar is included among the top collaborators of M. A. 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 M. A. Schull. M. A. Schull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Schull, M. A., et al.. (2023). Reporting in large-scale agile organizations: insights and recommendations from a case study in software development. Information Systems and e-Business Management. 21(3). 571–601. 3 indexed citations
2.
Schull, M. A., et al.. (2018). An open-source tool to enable regional and field-scale ET estimates from Big Data. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
3.
Schull, M. A., Martha C. Anderson, Rasmus Houborg, Anatoly A. Gitelson, & William P. Kustas. (2015). Thermal-based modeling of coupled carbon, water, and energy fluxes using nominal light use efficiencies constrained by leaf chlorophyll observations. Biogeosciences. 12(5). 1511–1523. 18 indexed citations
4.
Samanta, Arup, Ranga B. Myneni, L. C. Lepine, et al.. (2011). Canopy Spectral Invariants. 112. 8 indexed citations
5.
Schull, M. A., Yuri Knyazikhin, Liang Xu, et al.. (2010). Canopy spectral invariants, Part 2: Application to classification of forest types from hyperspectral data. Journal of Quantitative Spectroscopy and Radiative Transfer. 112(4). 736–750. 42 indexed citations
6.
Knyazikhin, Y., et al.. (2009). Canopy spectral invariants for remote sensing of canopy structure. 1–4. 1 indexed citations
7.
Samanta, Arup, Sangram Ganguly, M. A. Schull, et al.. (2008). Collection 5 MODIS LAI/FPAR Products. AGU Fall Meeting Abstracts. 2008. 6 indexed citations
8.
Ganguly, Sangram, M. A. Schull, Arup Samanta, et al.. (2008). Generating vegetation leaf area index earth system data record from multiple sensors. Part 1: Theory. Remote Sensing of Environment. 112(12). 4333–4343. 118 indexed citations
9.
Thenkabail, Prasad S., Çhandrashekhar Biradar, Praveen Noojipady, et al.. (2008). A Global Irrigated Area Map (GIAM) using remote sensing at the end of the last millennium. 37 indexed citations
10.
Ganguly, Sangram, Arup Samanta, M. A. Schull, et al.. (2008). Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation. Remote Sensing of Environment. 112(12). 4318–4332. 78 indexed citations
11.
Lewis, P., Mathias Disney, Yuri Knyazikhin, Tristan Quaife, & M. A. Schull. (2007). Modelling canopy reflectance with spectral invariants.. UCL Discovery (University College London). 1 indexed citations
12.
Schull, M. A., Sangram Ganguly, Arup Samanta, et al.. (2007). Physical interpretation of the correlation between multi‐angle spectral data and canopy height. Geophysical Research Letters. 34(18). 40 indexed citations
13.
Thenkabail, Prasad S., Çhandrashekhar Biradar, Hugh Turral, et al.. (2006). An irrigated area map of the world (1999) derived from remote sensing. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 40 indexed citations
14.
Biradar, Çhandrashekhar, Prasad S. Thenkabail, Hugh Turral, et al.. (2006). A global map of rainfed cropland areas at the end of last millennium using remote sensing and geospatial techniques. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6418. 64181Q–64181Q. 4 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.

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