S. V. Stehman

546 total citations
12 papers, 426 citations indexed

About

S. V. Stehman is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, S. V. Stehman has authored 12 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 6 papers in Ecology and 6 papers in Global and Planetary Change. Recurrent topics in S. V. Stehman's work include Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Land Use and Ecosystem Services (4 papers). S. V. Stehman is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Land Use and Ecosystem Services (4 papers). S. V. Stehman collaborates with scholars based in United States, Netherlands and Italy. S. V. Stehman's co-authors include Michael P. Meredith, Curtis E. Woodcock, Martin Herold, Pontus Olofsson, Adam Sibley, Damien Sulla‐Menashe, James Wickham, Collin G. Homer, Thomas R. Loveland and Terry L. Sohl and has published in prestigious journals such as International Journal of Remote Sensing, Canadian Journal of Forest Research and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

S. V. Stehman

12 papers receiving 378 citations

Peers

S. V. Stehman

GPC

ECOLO

NLC

E. E. de Miranda Brazil

Sarnam Singh India

Joseph P. Spruce United States

Akash Anand India

M. Sgrenzaroli Italy

Tomáš Bucha Slovakia

Jeff A Dechka Canada

Pablito Marcelo López‐Serrano Mexico

Jesús A. Anaya Colombia

Paulo Arévalo United States

E. E. de Miranda Brazil

S. V. Stehman

216 ×0.8

GPC

205 ×0.8

ECOLO

79 ×0.7

31 ×0.3

NLC

77 ×1.0

Citations per year, relative to S. V. Stehman S. V. Stehman (= 1×) peers E. E. de Miranda

Countries citing papers authored by S. V. Stehman

Since Specialization

Citations

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

Fields of papers citing papers by S. V. Stehman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. V. Stehman. 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 S. V. Stehman. The network helps show where S. V. Stehman may publish in the future.

Co-authorship network of co-authors of S. V. Stehman

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

All Works

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12 of 12 papers shown

Corona, Piermaria, et al.. (2025). Design-based mapping of errors in remote sensing-based land use/land cover maps. Stochastic Environmental Research and Risk Assessment. 39(3). 1077–1090. 1 indexed citations

Wickham, James, S. V. Stehman, Anne Neale, & Megan Mehaffey. (2019). Accuracy assessment of NLCD 2011 percent impervious cover for selected USA metropolitan areas. International Journal of Applied Earth Observation and Geoinformation. 84. 101955–101955. 15 indexed citations

Song, Xiang, Matthew C. Hansen, S. V. Stehman, et al.. (2018). A satellite data record of annual global land cover and long-term change 1982-2016. AGUFM. 2018. 2 indexed citations

Wickham, James, S. V. Stehman, & Collin G. Homer. (2017). Spatial patterns of the United States National Land Cover Dataset (NLCD) land-cover change thematic accuracy (2001–2011). International Journal of Remote Sensing. 39(6). 1729–1743. 29 indexed citations

Potapov, Peter, Bernard Adusei, LeeAnn King, et al.. (2016). National-scale crop type mapping and area estimation using multi-resolution remote sensing and field survey. AGU Fall Meeting Abstracts. 2016. 2 indexed citations

Fonte, Cidália C., et al.. (2013). Incorporating the uncertainty of linguistic-scale reference data to assess accuracy of land-cover maps using fuzzy intervals. International Journal of Remote Sensing. 34(11). 4008–4024. 3 indexed citations

Stehman, S. V., et al.. (2012). A global land-cover validation data set, II: augmenting a stratified sampling design to estimate accuracy by region and land-cover class. International Journal of Remote Sensing. 33(22). 6975–6993. 77 indexed citations

Olofsson, Pontus, S. V. Stehman, Curtis E. Woodcock, et al.. (2012). A global land-cover validation data set, part I: fundamental design principles. International Journal of Remote Sensing. 33(18). 5768–5788. 119 indexed citations

Stehman, S. V., Pontus Olofsson, Curtis E. Woodcock, et al.. (2010). Designing a reference validation database for accuracy assessment of land cover. Socio-Environmental Systems Modeling. 1 indexed citations

10.

Griffith, Jerry A., S. V. Stehman, Terry L. Sohl, & Thomas R. Loveland. (2003). Detecting trends in landscape pattern metrics over a 20-year period using a sampling-based monitoring programme. International Journal of Remote Sensing. 24(1). 175–181. 32 indexed citations

11.

Stehman, S. V., et al.. (1997). A practical sampling strategy for estimating residual stand damage. Canadian Journal of Forest Research. 27(10). 1635–1644. 10 indexed citations

12.

Meredith, Michael P. & S. V. Stehman. (1991). Repeated measures experiments in forestry: focus on analysis of response curves. Canadian Journal of Forest Research. 21(7). 957–965. 135 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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