K.J. Ranson

9.5k total citations
180 papers, 7.0k citations indexed

About

K.J. Ranson is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, K.J. Ranson has authored 180 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Environmental Engineering, 71 papers in Ecology and 67 papers in Global and Planetary Change. Recurrent topics in K.J. Ranson's work include Remote Sensing and LiDAR Applications (77 papers), Remote Sensing in Agriculture (67 papers) and Tree-ring climate responses (33 papers). K.J. Ranson is often cited by papers focused on Remote Sensing and LiDAR Applications (77 papers), Remote Sensing in Agriculture (67 papers) and Tree-ring climate responses (33 papers). K.J. Ranson collaborates with scholars based in United States, Russia and China. K.J. Ranson's co-authors include Guoqing Sun, Viacheslav I. Kharuk, Sergei T. Im, Paul Montesano, Maria L. Dvinskaya, D. S. Kimes, K. Kovacs, Craig S. T. Daughtry, L. L. Biehl and Roger H. Lang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

K.J. Ranson

172 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.J. Ranson United States	49	3.8k	3.1k	2.9k	2.0k	1.7k	180	7.0k
Guoqing Sun United States	43	4.0k 1.1×	2.8k 0.9×	1.5k 0.5×	896 0.4×	1.6k 0.9×	180	5.5k
Guangjian Yan China	43	6.6k 1.8×	4.0k 1.3×	4.1k 1.4×	2.9k 1.4×	762 0.4×	238	9.8k
Marc Simard United States	38	2.3k 0.6×	3.5k 1.1×	2.0k 0.7×	1.0k 0.5×	921 0.5×	186	6.2k
P. Lewis United Kingdom	43	3.9k 1.0×	5.4k 1.8×	4.4k 1.5×	1.3k 0.7×	1.2k 0.7×	124	8.2k
Michel M. Verstraete Italy	53	4.0k 1.1×	5.7k 1.8×	6.0k 2.0×	2.8k 1.4×	766 0.4×	136	9.8k
Thuy Le Toan France	52	5.9k 1.6×	3.6k 1.2×	2.5k 0.8×	2.5k 1.2×	898 0.5×	232	9.4k
Christiane Schmullius Germany	36	2.3k 0.6×	2.4k 0.8×	2.2k 0.8×	1.1k 0.5×	828 0.5×	172	4.8k
John Armston United States	42	5.5k 1.5×	4.0k 1.3×	2.8k 1.0×	616 0.3×	3.1k 1.8×	132	7.5k
M. A. Hofton United States	35	5.0k 1.3×	3.5k 1.1×	2.1k 0.7×	713 0.4×	2.8k 1.6×	72	6.8k
Jeffrey G. Masek United States	55	4.8k 1.3×	7.9k 2.5×	7.1k 2.4×	3.0k 1.5×	1.4k 0.8×	109	13.2k

Countries citing papers authored by K.J. Ranson

Since Specialization

Citations

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

Fields of papers citing papers by K.J. Ranson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.J. Ranson. 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 K.J. Ranson. The network helps show where K.J. Ranson may publish in the future.

Co-authorship network of co-authors of K.J. Ranson

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

All Works

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20 of 20 papers shown

Huemmrich, K. F., Petya Campbell, David J. Harding, et al.. (2022). EVALUATING APPROACHES RELATING ECOSYSTEM PRODUCTIVITY WITH DESIS SPECTRAL INFORMATION. SHILAP Revista de lepidopterología. XLVI-1/W1-2021. 31–37. 1 indexed citations

Montesano, Paul, C. S. R. Neigh, Guoqing Sun, et al.. (2017). The use of sun elevation angle for stereogrammetric boreal forest height in open canopies. Remote Sensing of Environment. 196. 76–88. 28 indexed citations

Kharuk, Viacheslav I., Maria L. Dvinskaya, Il’ya A. Petrov, Sergei T. Im, & K.J. Ranson. (2016). Larch forests of Middle Siberia: long-term trends in fire return intervals. Regional Environmental Change. 16(8). 2389–2397. 36 indexed citations

Montesano, Paul, Guoqing Sun, Ralph Dubayah, & K.J. Ranson. (2016). Spaceborne potential for examining taiga–tundra ecotone form andvulnerability. Biogeosciences. 13(13). 3847–3861. 16 indexed citations

Kharuk, Viacheslav I., et al.. (2016). Climate-induced mortality of Siberian pine and fir in the Lake Baikal Watershed, Siberia. Forest Ecology and Management. 384. 191–199. 40 indexed citations

Rincon, Rafael, et al.. (2014). EcoSAR, An airborne P-band Polarimetric InSAR for the measurement of Ecosystem structure and biomass. 1–4. 2 indexed citations

Ranson, K.J., et al.. (2014). Tree Canopy Cover for the Circumpolar Taiga-Tundra Ecotone: 2000-2005. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 3 indexed citations

Cook, Bruce D., Ross Nelson, Elizabeth M. Middleton, et al.. (2013). NASA Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager. Remote Sensing. 5(8). 4045–4066. 291 indexed citations

Kharuk, Viacheslav I., Maria L. Dvinskaya, Sergei T. Im, & K.J. Ranson. (2011). The Potential Impact of CO ₂ and Air Temperature Increases on Krummholz Transformation into Arborescent Form in the Southern Siberian Mountains. Arctic Antarctic and Alpine Research. 43(4). 593–600. 7 indexed citations

10.

Rubio, J., et al.. (2009). Lidar modeling with the 3D DART model. AGU Fall Meeting Abstracts. 2009. 1 indexed citations

11.

Guo, Zhifeng, Guoqing Sun, K.J. Ranson, Wenjian Ni, & Wenhan Qin. (2008). The Potential of Combined Lidar and SAR Data in Retrieving Forest Parameters using Model Analysis. V – 542. 6 indexed citations

12.

Kharuk, Viacheslav I., K.J. Ranson, & Maria L. Dvinskaya. (2007). Evidence of Evergreen Conifer Invasion into Larch Dominated Forests During Recent Decades in Central Siberia. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 10(2). 163–171. 43 indexed citations

13.

Ranson, K.J., et al.. (2006). Merging IceSAT GLAS and Terra MODIS Data in Order to Derive Forest Type Specific Tree Heights in the Central Siberian Boreal Forest. 1 indexed citations

14.

Ranson, K.J., K. Kovacs, Guoqing Sun, & Viacheslav I. Kharuk. (2003). Disturbance recognition in the boreal forest using radar and Landsat-7. Canadian Journal of Remote Sensing. 29(2). 271–285. 60 indexed citations

15.

Henebry, Geoffrey M., Tony Fountain, Jan Chomicki, & K.J. Ranson. (2002). Toward spatio-temporal models of biogeophysical fields for ecological forecasting. International Conference on Digital Government Research. 1–5. 2 indexed citations

16.

Ranson, K.J. & Genyun Sun. (2000). Requirement of Ground Tie Points for InSAR DEM Generation. Photogrammetric Engineering & Remote Sensing. 66(1). 81–86. 5 indexed citations

17.

Shugart, Herman H., Gordon B. Bonan, Nedialko Nikolov, et al.. (1992). A Systems Analysis of the Global Boreal Forest. Cambridge University Press eBooks. 357 indexed citations

18.

Ranson, K.J., Craig S. T. Daughtry, & L. L. Biehl. (1986). Sun angle, view angle, and background effects on spectral response of simulated balsam fir canopies. Photogrammetric Engineering & Remote Sensing. 52(5). 649–658. 53 indexed citations

19.

Kimes, D. S., K.J. Ranson, & J. A. Smith. (1980). A Monte Carlo calculation of the effects of canopy geometry on PhAR absorption.. Photosynthetica. 14(1). 55–64. 14 indexed citations

20.

Kimes, D. S., James A. Smith, & K.J. Ranson. (1980). Vegetation reflectance measurements as a function of solar zenith angle. Photogrammetric Engineering & Remote Sensing. 46. 50 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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