Stephen P. Boyte

672 total citations
28 papers, 502 citations indexed

About

Stephen P. Boyte is a scholar working on Ecology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Stephen P. Boyte has authored 28 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 20 papers in Global and Planetary Change and 7 papers in Nature and Landscape Conservation. Recurrent topics in Stephen P. Boyte's work include Rangeland and Wildlife Management (17 papers), Fire effects on ecosystems (12 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Stephen P. Boyte is often cited by papers focused on Rangeland and Wildlife Management (17 papers), Fire effects on ecosystems (12 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Stephen P. Boyte collaborates with scholars based in United States, Italy and China. Stephen P. Boyte's co-authors include Bruce K. Wylie, Devendra Dahal, Matthew Rigge, Neal J. Pastick, Yingxin Gu, Michael C. Wimberly, Erik Lindquist, Michael B. Hildreth, Lon Kightlinger and Zhuoting Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Remote Sensing.

In The Last Decade

Stephen P. Boyte

27 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen P. Boyte United States 13 358 287 125 76 71 28 502
Munyaradzi Davis Shekede Zimbabwe 15 145 0.4× 267 0.9× 63 0.5× 65 0.9× 76 1.1× 34 583
Sarah E. McCord United States 17 282 0.8× 203 0.7× 88 0.7× 49 0.6× 84 1.2× 38 589
Charles George United Kingdom 15 240 0.7× 354 1.2× 73 0.6× 58 0.8× 126 1.8× 23 635
Paola Martinez United States 8 429 1.2× 185 0.6× 175 1.4× 166 2.2× 109 1.5× 11 631
Verónica Andreo Argentina 12 148 0.4× 137 0.5× 35 0.3× 59 0.8× 73 1.0× 40 439
H. Schmidt Germany 9 230 0.6× 176 0.6× 49 0.4× 52 0.7× 89 1.3× 13 500
Dongwook W. Ko South Korea 11 189 0.5× 136 0.5× 94 0.8× 37 0.5× 61 0.9× 32 404
Herold Martin Netherlands 4 308 0.9× 411 1.4× 62 0.5× 74 1.0× 181 2.5× 5 667
Benjamin Mayer United States 7 200 0.6× 325 1.1× 100 0.8× 109 1.4× 115 1.6× 12 761

Countries citing papers authored by Stephen P. Boyte

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Boyte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Boyte. 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 Stephen P. Boyte. The network helps show where Stephen P. Boyte may publish in the future.

Co-authorship network of co-authors of Stephen P. Boyte

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Boyte. A scholar is included among the top collaborators of Stephen P. Boyte 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 Stephen P. Boyte. Stephen P. Boyte 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.
Wylie, Bruce K., Michael J. Hayes, Deborah J. Bathke, et al.. (2023). Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment. Ecosphere. 14(5). 2 indexed citations
2.
John, Ranjeet, Venkatesh Kolluru, Matthew Rigge, et al.. (2023). Biophysical drivers for predicting the distribution and abundance of invasive yellow sweetclover in the Northern Great Plains. Landscape Ecology. 38(6). 1463–1479. 6 indexed citations
3.
Boyte, Stephen P., et al.. (2023). Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions. Biological Invasions. 25(6). 2023–2041. 2 indexed citations
4.
Dahal, Devendra, et al.. (2023). Predicting Exotic Annual Grass Abundance in Rangelands of the Western United States Using Various Precipitation Scenarios. Rangeland Ecology & Management. 90. 221–230. 5 indexed citations
5.
Hardegree, Stuart P., Nancy F. Glenn, Roger L. Sheley, et al.. (2022). Elevation and Aspect Effects on Soil Microclimate and the Germination Timing of Fall-Planted Seeds. Rangeland Ecology & Management. 85. 15–27. 5 indexed citations
6.
7.
Brown, Jesslyn F., Stephen P. Boyte, Daniel M. Howard, et al.. (2021). Exploring VIIRS Continuity with MODIS in an Expedited Capability for Monitoring Drought-Related Vegetation Conditions. Remote Sensing. 13(6). 1210–1210. 10 indexed citations
8.
Pastick, Neal J., et al.. (2020). Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony. Remote Sensing. 12(4). 725–725. 43 indexed citations
9.
Boyte, Stephen P., et al.. (2018). Validating a Time Series of Annual Grass Percent Cover in the Sagebrush Ecosystem. Rangeland Ecology & Management. 72(2). 347–359. 20 indexed citations
10.
Boyte, Stephen P., Bruce K. Wylie, Matthew Rigge, & Devendra Dahal. (2017). Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA. GIScience & Remote Sensing. 55(3). 376–399. 42 indexed citations
11.
Boyte, Stephen P., Bruce K. Wylie, Daniel M. Howard, Devendra Dahal, & Tagir G. Gilmanov. (2017). Estimating carbon fluxes using satellite data integrated into regression-tree models in the conterminous United States. USGS DOI Tool Production Environment. 1 indexed citations
12.
Boyte, Stephen P., et al.. (2016). Cheatgrass Percent Cover Change: Comparing Recent Estimates to Climate Change−Driven Predictions in the Northern Great Basin. Rangeland Ecology & Management. 69(4). 265–279. 68 indexed citations
13.
Boyte, Stephen P., Yingxin Gu, & Bruce K. Wylie. (2016). Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models. USGS DOI Tool Production Environment. 1 indexed citations
14.
Boyte, Stephen P. & Bruce K. Wylie. (2016). Near-Real-Time Cheatgrass Percent Cover in the Northern Great Basin, USA, 2015. Rangelands. 38(5). 278–284. 27 indexed citations
15.
16.
Rigge, Matthew, Bruce K. Wylie, Li Zhang, & Stephen P. Boyte. (2013). Influence of management and precipitation on carbon fluxes in great plains grasslands. Ecological Indicators. 34. 590–599. 12 indexed citations
17.
18.
Wylie, Bruce K., et al.. (2012). Ecosystem Performance Monitoring of Rangelands by Integrating Modeling and Remote Sensing. Rangeland Ecology & Management. 65(3). 241–252. 30 indexed citations
19.
Gu, Yingxin, Stephen P. Boyte, Bruce K. Wylie, & Larry L. Tieszen. (2011). Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS. GCB Bioenergy. 4(1). 96–106. 16 indexed citations
20.
Wimberly, Michael C., Michael B. Hildreth, Stephen P. Boyte, Erik Lindquist, & Lon Kightlinger. (2008). Ecological Niche of the 2003 West Nile Virus Epidemic in the Northern Great Plains of the United States. PLoS ONE. 3(12). e3744–e3744. 58 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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