Kevin Megown

2.9k total citations · 1 hit paper
10 papers, 2.4k citations indexed

About

Kevin Megown is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Kevin Megown has authored 10 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 7 papers in Environmental Engineering and 5 papers in Global and Planetary Change. Recurrent topics in Kevin Megown's work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (4 papers) and Forest ecology and management (3 papers). Kevin Megown is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (4 papers) and Forest ecology and management (3 papers). Kevin Megown collaborates with scholars based in United States and Canada. Kevin Megown's co-authors include John W. Coulston, James Wickham, George Xian, Nathaniel D. Herold, Suming Jin, Jon Dewitz, Collin G. Homer, Patrick Danielson, Limin Yang and M. J. Falkowski and has published in prestigious journals such as Photogrammetric Engineering & Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and Scientific Data.

In The Last Decade

Kevin Megown

8 papers receiving 2.3k citations

Hit Papers

Completion of the 2011 Na... 2015 2026 2018 2022 2015 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Megown United States 5 1.1k 1.1k 603 467 428 10 2.4k
Christopher Barnes United States 12 1.3k 1.2× 1.1k 1.0× 555 0.9× 583 1.2× 420 1.0× 23 2.9k
Terry L. Sohl United States 28 1.9k 1.7× 1.2k 1.2× 424 0.7× 376 0.8× 367 0.9× 61 2.8k
Leila Gass United States 14 1.1k 1.0× 1.1k 1.0× 498 0.8× 227 0.5× 344 0.8× 24 2.2k
Michael Coan United States 10 1.2k 1.1× 1.0k 1.0× 723 1.2× 283 0.6× 328 0.8× 14 2.2k
Timothy G. Wade United States 29 1.9k 1.8× 1.4k 1.4× 535 0.9× 423 0.9× 592 1.4× 55 3.1k
Daniel Ierodiaconou Australia 37 1.2k 1.2× 2.2k 2.1× 433 0.7× 172 0.4× 488 1.1× 150 3.8k
Juan Pablo Guerschman Australia 32 2.0k 1.9× 1.7k 1.6× 946 1.6× 628 1.3× 505 1.2× 65 3.7k
Giuseppe Amatulli United States 20 940 0.9× 648 0.6× 255 0.4× 337 0.7× 487 1.1× 37 2.2k
Stéphanie Horion Denmark 31 2.4k 2.2× 1.6k 1.5× 530 0.9× 347 0.7× 520 1.2× 67 3.6k
Patrick Danielson United States 11 2.0k 1.9× 2.0k 1.9× 955 1.6× 722 1.5× 683 1.6× 16 4.3k

Countries citing papers authored by Kevin Megown

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Megown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Megown. 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 Kevin Megown. The network helps show where Kevin Megown may publish in the future.

Co-authorship network of co-authors of Kevin Megown

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

All Works

10 of 10 papers shown
1.
Schleeweis, Karen, Bonnie Ruefenacht, Ian W. Housman, et al.. (2025). Annual national tree canopy cover mapping: A novel workflow with temporal transferability and improved uncertainty quantification. Science of Remote Sensing. 12. 100301–100301.
2.
Bagstad, Kenneth J., Mehdi P. Heris, Karen Schleeweis, et al.. (2025). An enhanced national-scale urban tree canopy cover dataset for the United States. Scientific Data. 12(1). 490–490. 3 indexed citations
3.
Thomas, Valerie A., Randolph H. Wynne, John W. Coulston, et al.. (2019). Estimating tree canopy cover using harmonic regression coefficients derived from multitemporal Landsat data. International Journal of Applied Earth Observation and Geoinformation. 86. 101985–101985. 24 indexed citations
4.
Homer, Collin G., Jon Dewitz, Limin Yang, et al.. (2015). Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information. Photogrammetric Engineering & Remote Sensing. 81(5). 345–354. 2178 indexed citations breakdown →
5.
Megown, Kevin, et al.. (2015). Image-based change estimation (ICE): monitoring land use, land cover and agent of change information for all lands. 931. 1 indexed citations
6.
Ruefenacht, Bonnie, et al.. (2015). Forest service contributions to the national land cover database (NLCD): Tree Canopy Cover Production. 931. 241–243. 1 indexed citations
7.
Brewer, C. Kenneth, et al.. (2012). Image-based change estimation for land cover and land use monitoring. 46–53. 6 indexed citations
8.
Finco, Mark, et al.. (2012). Monitoring Trends and Burn Severity (MTBS): Monitoring wildfire activity for the past quarter century using landsat data. 222–228. 39 indexed citations
9.
Hummel, Susan, et al.. (2011). A Comparison of Accuracy and Cost of LiDAR versus Stand Exam Data for Landscape Management on the Malheur National Forest. Journal of Forestry. 109(5). 267–273. 110 indexed citations
10.
Megown, Kevin, et al.. (2001). An industrial evaluation of a stand level grading system forPinus patula. The Southern African Forestry Journal. 190(1). 105–114. 2 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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