Ross Nelson

8.1k total citations · 2 hit papers
62 papers, 5.4k citations indexed

About

Ross Nelson is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Ross Nelson has authored 62 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Environmental Engineering, 41 papers in Nature and Landscape Conservation and 23 papers in Ecology. Recurrent topics in Ross Nelson's work include Remote Sensing and LiDAR Applications (47 papers), Forest ecology and management (41 papers) and Remote Sensing in Agriculture (23 papers). Ross Nelson is often cited by papers focused on Remote Sensing and LiDAR Applications (47 papers), Forest ecology and management (41 papers) and Remote Sensing in Agriculture (23 papers). Ross Nelson collaborates with scholars based in United States, Norway and Sweden. Ross Nelson's co-authors include Sorin Popescu, Randolph H. Wynne, Erik Næsset, William Krabill, Terje Gobakken, Timothy G. Grégoire, Göran Ståhl, Kaiguang Zhao, Michael A. Wulder and Hans Ole Ørka and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and BioScience.

In The Last Decade

Ross Nelson

61 papers receiving 5.0k citations

Hit Papers

Lidar sampling for large-... 2003 2026 2010 2018 2012 2003 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ross Nelson 4.6k 3.3k 2.6k 1.6k 1.3k 62 5.4k
Håkan Olsson 3.2k 0.7× 2.2k 0.7× 1.7k 0.7× 1.2k 0.7× 906 0.7× 93 3.9k
Glenn Newnham 3.4k 0.7× 2.3k 0.7× 2.5k 1.0× 1.1k 0.7× 1.8k 1.4× 63 5.1k
Felix Morsdorf 3.5k 0.8× 2.1k 0.7× 2.5k 1.0× 991 0.6× 1.3k 1.0× 96 4.7k
Paul Treitz 3.4k 0.7× 2.0k 0.6× 2.3k 0.9× 1.2k 0.7× 1.4k 1.0× 92 4.9k
Darius Culvenor 3.7k 0.8× 2.4k 0.7× 3.3k 1.3× 1.0k 0.6× 2.1k 1.6× 54 5.8k
Mathias Disney 5.7k 1.2× 3.8k 1.2× 4.0k 1.5× 1.4k 0.9× 3.0k 2.3× 160 8.1k
John Armston 5.5k 1.2× 3.1k 0.9× 4.0k 1.6× 821 0.5× 2.8k 2.2× 132 7.5k
Timo Tokola 2.5k 0.5× 1.8k 0.5× 1.5k 0.6× 919 0.6× 713 0.5× 116 3.3k
Göran Ståhl 3.5k 0.8× 3.2k 1.0× 2.0k 0.8× 1.8k 1.2× 2.2k 1.7× 163 5.5k
Piotr Tompalski 2.9k 0.6× 1.6k 0.5× 1.7k 0.6× 984 0.6× 1.0k 0.8× 87 3.6k

Countries citing papers authored by Ross Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Ross Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Ross Nelson. A scholar is included among the top collaborators of Ross Nelson 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 Ross Nelson. Ross Nelson 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
2.
Ene, Liviu Theodor, Terje Gobakken, Hans‐Erik Andersen, et al.. (2017). Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data. Remote Sensing of Environment. 204. 741–755. 30 indexed citations
3.
Nelson, Ross, Hank A. Margolis, Paul Montesano, et al.. (2016). Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations. Remote Sensing of Environment. 188. 127–140. 92 indexed citations
4.
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
5.
Nelson, Ross, Catherine Murray, & Nancy Duxbury. (2013). Cultural and Creative Economy Strategies for Community Transformation : Four Approaches. 368–386.
6.
Peduzzi, Alicia, et al.. (2012). Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests. Remote Sensing. 4(6). 1758–1780. 17 indexed citations
7.
Nelson, Ross, et al.. (2011). Divergent Paths in Regional Economic Development : A Tale of Two Festival Towns. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3(1). 86–104. 3 indexed citations
8.
Ståhl, Göran, Sören Holm, Timothy G. Grégoire, et al.. (2011). Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.. Canadian Journal of Forest Research. 41(1). 96–107. 147 indexed citations
9.
Næsset, Erik, Terje Gobakken, & Ross Nelson. (2009). Sampling and Mapping Forest Volume and Biomass Using Airborne LIDARs. 79. 26 indexed citations
10.
Grégoire, Timothy G., et al.. (2008). Regression Estimation Following the Square-Root Transformation of the Response. Forest Science. 54(6). 597–606. 55 indexed citations
11.
Hyde, Peter, et al.. (2006). Exploring LiDAR–RaDAR synergy—predicting aboveground biomass in a southwestern ponderosa pine forest using LiDAR, SAR and InSAR. Remote Sensing of Environment. 106(1). 28–38. 112 indexed citations
12.
Nelson, Ross, et al.. (2004). The Peripheries of British Columbia: Patterns of Migration and Economic Structure, 1976-2002 * / Les Peripheries De la Colombie-Britannique: Les Patrons De Mogration et De Structure Economique, 1976 a 2002. Canadian Journal of Regional Science. 27(3). 353. 4 indexed citations
13.
Nelson, Ross, et al.. (2004). Measuring biomass and carbon in delaware using an airborne profiling LIDAR. Scandinavian Journal of Forest Research. 19(6). 500–511. 113 indexed citations
14.
Kimes, D. S., Asad Ullah, Elissa R. Levine, et al.. (2003). Relationships between pediatric asthma and socioeconomic/urban variables in Baltimore, Maryland. Health & Place. 10(2). 141–152. 18 indexed citations
15.
Nelson, Ross, et al.. (2000). Secondary Forest Age and Tropical Forest Biomass Estimation Using Thematic Mapper Imagery. BioScience. 50(5). 419–419. 133 indexed citations
16.
Nelson, Ross, Richard G. Oderwald, & Timothy G. Grégoire. (1997). Separating the ground and airborne laser sampling phases to estimate tropical forest basal area, volume, and biomass. Remote Sensing of Environment. 60(3). 311–326. 92 indexed citations
17.
Nelson, Ross & B. N. Holben. (1986). Identifying deforestation in Brazil using multiresolution satellite data. International Journal of Remote Sensing. 7(3). 429–448. 95 indexed citations
18.
Nelson, Ross, et al.. (1984). Determining forest canopy characteristics using airborne laser data. Remote Sensing of Environment. 15(3). 201–212. 190 indexed citations
19.
Williams, Darrel L., et al.. (1984). A Statistical Evaluation of the Advantages of LANDSAT Thematic Mapper Data in Comparison to Multispectral Scanner Data. IEEE Transactions on Geoscience and Remote Sensing. GE-22(3). 294–302. 38 indexed citations
20.
Nelson, Ross. (1981). A comparison of two methods for classifying forestland†. International Journal of Remote Sensing. 2(1). 49–60. 10 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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