R.S. Skakun

1.1k total citations
11 papers, 874 citations indexed

About

R.S. Skakun is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, R.S. Skakun has authored 11 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 8 papers in Ecology and 8 papers in Global and Planetary Change. Recurrent topics in R.S. Skakun's work include Remote Sensing and LiDAR Applications (9 papers), Fire effects on ecosystems (7 papers) and Remote Sensing in Agriculture (6 papers). R.S. Skakun is often cited by papers focused on Remote Sensing and LiDAR Applications (9 papers), Fire effects on ecosystems (7 papers) and Remote Sensing in Agriculture (6 papers). R.S. Skakun collaborates with scholars based in Canada and New Zealand. R.S. Skakun's co-authors include Michael A. Wulder, Ronald J. Hall, Steven E. Franklin, E. Arsenault, Bradley S. Case, Joanne C. White, Allan L. Carroll, Werner A. Kurz, Barry J. Cooke and Guillermo Castilla and has published in prestigious journals such as Remote Sensing of Environment, Forest Ecology and Management and Photogrammetric Engineering & Remote Sensing.

In The Last Decade

R.S. Skakun

11 papers receiving 798 citations

Peers

R.S. Skakun

ECOLO

GPC

EE

NLC

IS

Peter T. Wolter United States

Asim Banskota United States

Paul Magdon Germany

Carlos Ramírez United States

Yasumasa Hirata Japan

Benjamin C. Bright United States

Karen Schleeweis United States

Mark D. Gillis Canada

Geoffrey R. Holden United States

Geoffrey A. Fricker United States

Peter T. Wolter United States

R.S. Skakun

548 ×0.8

ECOLO

465 ×1.0

GPC

336 ×0.8

EE

299 ×1.1

NLC

73 ×0.8

IS

Citations per year, relative to R.S. Skakun R.S. Skakun (= 1×) peers Peter T. Wolter

Countries citing papers authored by R.S. Skakun

Since Specialization

Citations

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

Fields of papers citing papers by R.S. Skakun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.S. Skakun

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Whitman, Ellen, Marc‐André Parisien, Dan K. Thompson, et al.. (2018). Variability and drivers of burn severity in the northwestern Canadian boreal forest. Ecosphere. 9(2). 116 indexed citations

2.

Hall, Ronald J., Guillermo Castilla, Joanne C. White, Barry J. Cooke, & R.S. Skakun. (2016). Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective. The Canadian Entomologist. 148(S1). S296–S356. 116 indexed citations

3.

Hall, Ronald J., R.S. Skakun, André Beaudoin, et al.. (2010). Approaches for forest biomass estimation and mapping in canada. 1988–1991. 7 indexed citations

4.

Hall, Ronald J. & R.S. Skakun. (2007). MAPPING FOREST INVENTORY ATTRIBUTES ACROSS CONIFEROUS, DECIDUOUS AND MIXEDWOOD STAND TYPES IN THE NORTHWEST TERRITORIES FROM HIGH SPATIAL RESOLUTION QUICKBIRD SATELLITE IMAGERY. 5 indexed citations

5.

Hall, Ronald J., R.S. Skakun, E. Arsenault, & Bradley S. Case. (2006). Modeling forest stand structure attributes using Landsat ETM+ data: Application to mapping of aboveground biomass and stand volume. Forest Ecology and Management. 225(1-3). 378–390. 220 indexed citations

6.

Wulder, Michael A., R.S. Skakun, Caren C. Dymond, Werner A. Kurz, & Joanne C. White. (2005). Characterization of the diminishing accuracy in detecting forest insect damage over time. Canadian Journal of Remote Sensing. 31(6). 421–431. 21 indexed citations

7.

Wulder, Michael A., R.S. Skakun, Steven E. Franklin, & Joanne C. White. (2005). Enhancing forest inventories with mountain pine beetle infestation information. The Forestry Chronicle. 81(1). 149–159. 10 indexed citations

8.

Wulder, Michael A., R.S. Skakun, Werner A. Kurz, & Joanne C. White. (2004). Estimating time since forest harvest using segmented Landsat ETM+ imagery. Remote Sensing of Environment. 93(1-2). 179–187. 78 indexed citations

9.

Skakun, R.S., Steven E. Franklin, Michael A. Wulder, & Allan L. Carroll. (2003). Aerial, GIS, and field data calibration of a Landsat ETM+ mountain pine beetle detection procedure in British Columbia, Canada. 5. 2887–2889. 1 indexed citations

10.

Franklin, Steven E., Michael A. Wulder, R.S. Skakun, & Allan L. Carroll. (2003). Mountain Pine Beetle Red-Attack Forest Damage Classification Using Stratified Landsat TM Data in British Columbia, Canada. Photogrammetric Engineering & Remote Sensing. 69(3). 283–288. 106 indexed citations

11.

Skakun, R.S., Michael A. Wulder, & Steven E. Franklin. (2003). Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage. Remote Sensing of Environment. 86(4). 433–443. 194 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.

Explore authors with similar magnitude of impact