Robert J. McGaughey

4.1k total citations
47 papers, 3.2k citations indexed

About

Robert J. McGaughey is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Robert J. McGaughey has authored 47 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Environmental Engineering, 31 papers in Nature and Landscape Conservation and 22 papers in Insect Science. Recurrent topics in Robert J. McGaughey's work include Remote Sensing and LiDAR Applications (41 papers), Forest ecology and management (31 papers) and Forest Ecology and Biodiversity Studies (22 papers). Robert J. McGaughey is often cited by papers focused on Remote Sensing and LiDAR Applications (41 papers), Forest ecology and management (31 papers) and Forest Ecology and Biodiversity Studies (22 papers). Robert J. McGaughey collaborates with scholars based in United States, Finland and Brazil. Robert J. McGaughey's co-authors include Hans‐Erik Andersen, Stephen E. Reutebuch, Van R. Kane, James A. Lutz, W. W. Carson, Jerry F. Franklin, Derek J. Churchill, Rolf Gersonde, Jonathan D. Bakker and Marcus Vinício Neves d'Oliveira and has published in prestigious journals such as Ecology, Remote Sensing of Environment and Landscape and Urban Planning.

In The Last Decade

Robert J. McGaughey

45 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. McGaughey United States 25 2.5k 1.7k 1.3k 1.2k 936 47 3.2k
Hans‐Erik Andersen United States 29 2.9k 1.2× 1.8k 1.1× 1.4k 1.1× 966 0.8× 948 1.0× 68 3.4k
Håkan Olsson Sweden 32 3.2k 1.3× 2.2k 1.3× 1.7k 1.3× 906 0.7× 1.2k 1.2× 93 3.9k
Benoît St-Onge Canada 25 2.5k 1.0× 1.5k 0.9× 1.4k 1.1× 679 0.5× 886 0.9× 45 3.0k
Ole Martin Bollandsås Norway 35 2.6k 1.1× 2.2k 1.3× 1.2k 0.9× 835 0.7× 1.1k 1.1× 88 3.3k
Piotr Tompalski Canada 28 2.9k 1.2× 1.6k 1.0× 1.7k 1.2× 1.0k 0.8× 984 1.1× 87 3.6k
Timo Tokola Finland 29 2.5k 1.0× 1.8k 1.1× 1.5k 1.1× 713 0.6× 919 1.0× 116 3.3k
Jason Drake United States 16 1.8k 0.7× 1.2k 0.7× 1.1k 0.8× 719 0.6× 384 0.4× 36 2.5k
Markus Hollaus Austria 31 2.3k 0.9× 1.1k 0.6× 1.1k 0.8× 637 0.5× 739 0.8× 106 2.8k
Mats Nilsson Sweden 21 2.4k 1.0× 1.8k 1.1× 1.3k 1.0× 701 0.6× 912 1.0× 45 2.9k
Johannes Breidenbach Norway 31 1.9k 0.8× 1.5k 0.9× 942 0.7× 662 0.5× 685 0.7× 76 2.4k

Countries citing papers authored by Robert J. McGaughey

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. McGaughey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert J. McGaughey

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. McGaughey. A scholar is included among the top collaborators of Robert J. McGaughey 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 Robert J. McGaughey. Robert J. McGaughey 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
1.
Strunk, Jacob L., Stephen E. Reutebuch, Robert J. McGaughey, & Hans‐Erik Andersen. (2024). An examination of GNSS positioning under dense conifer forest canopy in the Pacific Northwest, USA. Remote Sensing Applications Society and Environment. 37. 101428–101428. 1 indexed citations
2.
McGaughey, Robert J., et al.. (2024). Tree Species Classification Based on Upper Crown Morphology Captured by Uncrewed Aircraft System Lidar Data. Remote Sensing. 16(4). 603–603. 7 indexed citations
3.
McGaughey, Robert J., et al.. (2022). Using Airborne LiDAR to Map Red Alder in the Sappho Long-Term Ecosystem Productivity Study. Remote Sensing. 14(7). 1591–1591. 1 indexed citations
4.
Strîmbu, Bogdan M., et al.. (2021). Advancements in forest mensuration and biometrics in the artificial intelligence era. Canadian Journal of Forest Research. 51(8). v–vi. 1 indexed citations
5.
Hudak, Andrew T., Patrick A. Fekety, Van R. Kane, et al.. (2020). A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA. Environmental Research Letters. 15(9). 95003–95003. 52 indexed citations
6.
Strunk, Jacob L., et al.. (2019). Evaluation of pushbroom DAP relative to frame camera DAP and lidar for forest modeling. Remote Sensing of Environment. 237. 111535–111535. 14 indexed citations
7.
McGaughey, Robert J., et al.. (2017). Effect of Occupation Time on the Horizontal Accuracy of a Mapping-Grade GNSS Receiver under Dense Forest Canopy. Photogrammetric Engineering & Remote Sensing. 83(12). 861–868. 27 indexed citations
8.
Manuri, Solichin, Hans‐Erik Andersen, Robert J. McGaughey, & Cris Brack. (2016). Assessing the influence of return density on estimation of lidar-based aboveground biomass in tropical peat swamp forests of Kalimantan, Indonesia. International Journal of Applied Earth Observation and Geoinformation. 56. 24–35. 17 indexed citations
9.
Kane, Van R., C. Alina Cansler, Nicholas A. Povak, et al.. (2015). Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure. Forest Ecology and Management. 358. 62–79. 150 indexed citations
10.
Zald, Harold S. J., Janet L. Ohmann, Heather M. Roberts, et al.. (2014). Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure. Remote Sensing of Environment. 143. 26–38. 62 indexed citations
11.
Andersen, Hans‐Erik, Stephen E. Reutebuch, Robert J. McGaughey, Marcus Vinício Neves d'Oliveira, & Michael Keller. (2013). Monitoring selective logging in western Amazonia with repeat lidar flights. Remote Sensing of Environment. 151. 157–165. 98 indexed citations
12.
Kane, Van R., Malcolm P. North, James A. Lutz, et al.. (2013). Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park. Remote Sensing of Environment. 151. 89–101. 124 indexed citations
13.
Kane, Van R., Rolf Gersonde, James A. Lutz, et al.. (2011). Patch dynamics and the development of structural and spatial heterogeneity in Pacific Northwest forests. Canadian Journal of Forest Research. 41(12). 2276–2291. 64 indexed citations
14.
Kim, Sooyoung, et al.. (2009). Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data. Remote Sensing of Environment. 113(8). 1575–1586. 181 indexed citations
15.
Breidenbach, Johannes, Edgar Kublin, Robert J. McGaughey, Hans‐Erik Andersen, & Stephen E. Reutebuch. (2008). Mixed-effects models for estimating stand volume by means of small footprint airborne laser scanner data.. 21(1). 4–15. 31 indexed citations
16.
McGaughey, Robert J., Hans‐Erik Andersen, & Stephen E. Reutebuch. (2006). CONSIDERATIONS FOR PLANNING, ACQI;IRING, AND PROCESSING LIDAR DATA FOR FORESTRY APPLICATIONS. 1 indexed citations
17.
Reutebuch, Stephen E., Hans‐Erik Andersen, & Robert J. McGaughey. (2005). Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory. Journal of Forestry. 103(6). 286–292. 271 indexed citations
18.
Andersen, Hans‐Erik, et al.. (2004). A comparison of forest canopy models derived from LIDAR and INSAR data in a Pacific Northwest conifer forest.. 22 indexed citations
19.
McGaughey, Robert J., et al.. (2000). Presenting Landscape-Scale Forest Information: What Is Sufficient and What Is Appropriate?. Journal of Forestry. 98(12). 21–27. 12 indexed citations
20.
McGaughey, Robert J.. (1998). Techniques for Visualizing the Appearance of Forestry Operations. Journal of Forestry. 96(6). 9–14. 38 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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