M. A. Schull

500 citations
14 papers · 402 · h-index 8

Impact in

Papers in

M. A. Schull

13 papers receiving 389 citations

Peers

M. A. Schull
Comparison fields: 5 of 47
  • Environmental Engineering 175
  • Ecology 289
  • Global and Planetary Change 238
  • Ecological Modeling 36
  • Atmospheric Science 69
Replace Maciej Bartold with:
Maciej Bartold Poland
Jai Singh Parihar India
H. Makhmara France
Eric Chavanon France
Liying Geng China
Gaolong Zhu China
Jorge Sánchez-Zapero Spain
Harikishan Jayanthi United States
Yaotong Cai China
Francis Canisius Canada
M. A. Schull relative to Maciej Bartold Poland Maciej Bartold's profile →
Citations per field
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Maciej Bartold · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M. A. 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 M. A. Schull Line = papers co-authored together M. A. Schull links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2008119
2 200879
3 200742
4 201042
5 200640
6 200837
7 201518
8
Canopy Spectral Invariants
20118
9
Collection 5 MODIS LAI/FPAR Products
20086
10 20234
11 20064
12
An open-source tool to enable regional and field-scale ET estimates from Big Data
20181
13
Modelling canopy reflectance with spectral invariants.
20071
14 20091

About M. A. Schull

M. A. Schull is a scholar working on Ecology, Global and Planetary Change, Ecological Modeling, Environmental Engineering and Media Technology, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (9 papers), Plant Water Relations and Carbon Dynamics (4 papers), Species Distribution and Climate Change (3 papers), Remote Sensing and LiDAR Applications (3 papers), Remote-Sensing Image Classification (2 papers), Land Use and Ecosystem Services (2 papers), Plant responses to elevated CO2 (1 paper) and Ecology and Vegetation Dynamics Studies (1 paper). The work is most often cited by research in Environmental Engineering (175 citations), Ecology (289 citations), Global and Planetary Change (238 citations), Ecological Modeling (36 citations) and Atmospheric Science (69 citations). M. A. Schull has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Ranga B. Myneni, Sangram Ganguly, Arup Samanta, Yuri Knyazikhin, Nikolay V. Shabanov, R. R. Nemani, C. Milesi, Hugh Turral, Naga Manohar Velpuri and Jagath Vithanage. Their work appears in journals such as Remote Sensing of Environment, Biogeosciences, Journal of Quantitative Spectroscopy and Radiative Transfer, Geophysical Research Letters and Information Systems and e-Business Management.

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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