Anthony G. Vorster

914 total citations · 1 hit paper
19 papers, 669 citations indexed

About

Anthony G. Vorster is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Anthony G. Vorster has authored 19 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 10 papers in Ecology and 6 papers in Nature and Landscape Conservation. Recurrent topics in Anthony G. Vorster's work include Fire effects on ecosystems (7 papers), Remote Sensing in Agriculture (5 papers) and Forest ecology and management (5 papers). Anthony G. Vorster is often cited by papers focused on Fire effects on ecosystems (7 papers), Remote Sensing in Agriculture (5 papers) and Forest ecology and management (5 papers). Anthony G. Vorster collaborates with scholars based in United States, India and Colombia. Anthony G. Vorster's co-authors include Paul Evangelista, Ryan Anderson, Atticus Stovall, Nicholas E. Young, Stephen M. Chignell, Rick L. Lawrence, Herman H. Shugart, Timothy Mayer, Trung Hiếu Nguyễn and Thomas J. Stohlgren and has published in prestigious journals such as Ecology, Remote Sensing of Environment and Forest Ecology and Management.

In The Last Decade

Anthony G. Vorster

17 papers receiving 647 citations

Hit Papers

A survival guide to Lands... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony G. Vorster United States 9 315 308 301 210 73 19 669
Ewa Grabska‐Szwagrzyk Poland 11 259 0.8× 303 1.0× 384 1.3× 143 0.7× 45 0.6× 16 620
Dandan Xu China 14 280 0.9× 315 1.0× 397 1.3× 150 0.7× 48 0.7× 47 737
Nico Lang United States 9 317 1.0× 536 1.7× 469 1.6× 217 1.0× 34 0.5× 13 866
Javier Lopatin Chile 12 274 0.9× 315 1.0× 564 1.9× 190 0.9× 49 0.7× 26 801
Paweł Hawryło Poland 13 225 0.7× 312 1.0× 281 0.9× 203 1.0× 65 0.9× 43 552
Mercedes Berterretche United States 6 356 1.1× 461 1.5× 584 1.9× 204 1.0× 66 0.9× 6 827
Asim Banskota United States 9 351 1.1× 358 1.2× 446 1.5× 154 0.7× 56 0.8× 9 664
Mathieu Decuyper Netherlands 13 396 1.3× 214 0.7× 296 1.0× 203 1.0× 41 0.6× 28 703
Peter T. Wolter United States 15 465 1.5× 336 1.1× 548 1.8× 299 1.4× 73 1.0× 22 832
Christopher Hopkinson Canada 13 227 0.7× 282 0.9× 315 1.0× 109 0.5× 47 0.6× 19 553

Countries citing papers authored by Anthony G. Vorster

Since Specialization
Citations

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

Fields of papers citing papers by Anthony G. Vorster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony G. Vorster. 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 Anthony G. Vorster. The network helps show where Anthony G. Vorster may publish in the future.

Co-authorship network of co-authors of Anthony G. Vorster

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

All Works

19 of 19 papers shown
1.
Rhoades, Charles C., et al.. (2025). Post-fire seedling recruitment across a range of stand age in bark-beetle impacted lodgepole pine forests: Informing reforestation needs. Forest Ecology and Management. 596. 123048–123048.
3.
Hoag, Dana L., Ryan R Reuter, Daniel F. Mooney, et al.. (2025). The economic fundamentals of virtual fencing compared to traditional fencing. Rangelands. 47(1). 92–101. 5 indexed citations
4.
Hoag, Dana L., et al.. (2024). Beef Cattle Producer Perspectives on Virtual Fencing. Rangeland Ecology & Management. 96. 143–151. 6 indexed citations
5.
Courtney, K. Diane, et al.. (2024). Russian olive distribution and invasion dynamics along the Powder River, Montana and Wyoming, USA. Biological Invasions. 26(10). 3523–3541.
6.
Vorster, Anthony G., et al.. (2022). MODIS sensors can monitor spatiotemporal trends in fog and low cloud cover at 1 km spatial resolution along the U.S. Pacific Coast. Remote Sensing Applications Society and Environment. 28. 100832–100832. 3 indexed citations
7.
Stovall, Atticus, Anthony G. Vorster, Ryan Anderson, & Paul Evangelista. (2022). Developing nondestructive species‐specific tree allometry with terrestrial laser scanning. Methods in Ecology and Evolution. 14(1). 280–290. 15 indexed citations
8.
Kampf, Stephanie K., et al.. (2021). Predicting mean annual and mean monthly streamflow in Colorado ungauged basins. River Research and Applications. 37(4). 569–578. 7 indexed citations
9.
Vorster, Anthony G., et al.. (2020). Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations. Carbon Balance and Management. 15(1). 8–8. 100 indexed citations
10.
Vorster, Anthony G., Nicholas E. Young, Paul Evangelista, et al.. (2020). Improved Remote Sensing Methods to Detect Northern Wild Rice (Zizania palustris L.). Remote Sensing. 12(18). 3023–3023. 8 indexed citations
11.
Nguyễn, Trung Hiếu, et al.. (2020). A model evaluation framework applied to the Forest Vegetation Simulator (FVS) in Colorado and Wyoming lodgepole pine forests. Forest Ecology and Management. 480. 118619–118619. 11 indexed citations
12.
Evangelista, Paul, et al.. (2018). Mapping Progression and Severity of a Southern Colorado Spruce Beetle Outbreak Using Calibrated Image Composites. Forests. 9(6). 336–336. 6 indexed citations
13.
Evangelista, Paul, Nicholas E. Young, Anthony G. Vorster, et al.. (2018). CO-RIP: A Riparian Vegetation and Corridor Extent Dataset for Colorado River Basin Streams and Rivers. ISPRS International Journal of Geo-Information. 7(10). 397–397. 14 indexed citations
14.
Vorster, Anthony G., et al.. (2018). Tamarisk and Russian Olive Occurrence and Absence Dataset Collected in Select Tributaries of the Colorado River for 2017. Data. 3(4). 42–42. 2 indexed citations
15.
Stovall, Atticus, Anthony G. Vorster, Ryan Anderson, Paul Evangelista, & Herman H. Shugart. (2017). Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR. Remote Sensing of Environment. 200. 31–42. 144 indexed citations
16.
Chung, Woodam, et al.. (2017). Estimating Aboveground Tree Biomass for Beetle-Killed Lodgepole Pine in the Rocky Mountains of Northern Colorado. Forest Science. 63(4). 413–419. 8 indexed citations
17.
Young, Nicholas E., Ryan Anderson, Stephen M. Chignell, et al.. (2017). A survival guide to Landsat preprocessing. Ecology. 98(4). 920–932. 322 indexed citations breakdown →
19.
Vorster, Anthony G., Paul Evangelista, Thomas J. Stohlgren, et al.. (2017). Severity of a mountain pine beetle outbreak across a range of stand conditions in Fraser Experimental Forest, Colorado, United States. Forest Ecology and Management. 389. 116–126. 15 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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