Gordon W. Frazer

1.4k total citations
18 papers, 1.1k citations indexed

About

Gordon W. Frazer is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Gordon W. Frazer has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 12 papers in Nature and Landscape Conservation and 8 papers in Ecology. Recurrent topics in Gordon W. Frazer's work include Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (11 papers) and Remote Sensing in Agriculture (7 papers). Gordon W. Frazer is often cited by papers focused on Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (11 papers) and Remote Sensing in Agriculture (7 papers). Gordon W. Frazer collaborates with scholars based in Canada, United States and Australia. Gordon W. Frazer's co-authors include K. Olaf Niemann, Michael A. Wulder, J. A. Trofymow, Richard Fournier, Steen Magnussen, Ronald J. Hall, Kenneth P. Lertzman, Nicholas C. Coops, Jean-François Côté and Martin van Leeuwen and has published in prestigious journals such as Remote Sensing of Environment, Global Biogeochemical Cycles and Forest Ecology and Management.

In The Last Decade

Gordon W. Frazer

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon W. Frazer Canada 14 688 671 494 340 251 18 1.1k
Sruthi M. Krishna Moorthy Belgium 12 507 0.7× 570 0.8× 260 0.5× 271 0.8× 182 0.7× 27 857
Carlos A. López‐Sánchez Spain 20 615 0.9× 561 0.8× 474 1.0× 450 1.3× 114 0.5× 68 1.2k
Jaime Hernández Chile 16 417 0.6× 563 0.8× 552 1.1× 401 1.2× 136 0.5× 30 1.1k
Klemens Schadauer Austria 20 706 1.0× 616 0.9× 270 0.5× 580 1.7× 372 1.5× 35 1.1k
Pierre Ploton France 13 626 0.9× 585 0.9× 392 0.8× 416 1.2× 106 0.4× 24 1.1k
Gerald Kändler Germany 20 656 1.0× 297 0.4× 294 0.6× 568 1.7× 245 1.0× 38 1.0k
Nicola Puletti Italy 23 588 0.9× 860 1.3× 809 1.6× 698 2.1× 295 1.2× 83 1.6k
Icíar Alberdi Spain 19 778 1.1× 387 0.6× 272 0.6× 768 2.3× 397 1.6× 61 1.3k
Kjersti Hanssen Norway 14 522 0.8× 414 0.6× 348 0.7× 350 1.0× 249 1.0× 37 896
Florian de Boissieu France 10 455 0.7× 624 0.9× 724 1.5× 416 1.2× 181 0.7× 18 1.3k

Countries citing papers authored by Gordon W. Frazer

Since Specialization
Citations

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

Fields of papers citing papers by Gordon W. Frazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon W. Frazer. 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 Gordon W. Frazer. The network helps show where Gordon W. Frazer may publish in the future.

Co-authorship network of co-authors of Gordon W. Frazer

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

All Works

18 of 18 papers shown
1.
Giesbrecht, Ian, et al.. (2025). Mapping the Spatial Heterogeneity of Watershed Ecosystems and Water Quality in Rainforest Fjordlands. Ecosystems. 28(2). 25–25. 1 indexed citations
2.
Giesbrecht, Ian, Suzanne E. Tank, Gordon W. Frazer, et al.. (2022). Watershed Classification Predicts Streamflow Regime and Organic Carbon Dynamics in the Northeast Pacific Coastal Temperate Rainforest. Global Biogeochemical Cycles. 36(2). 24 indexed citations
3.
Magnussen, Steen, et al.. (2016). Alternative mean-squared error estimators for synthetic estimators of domain means. Journal of Applied Statistics. 43(14). 2550–2573. 17 indexed citations
4.
Nelson, Trisalyn, et al.. (2016). Data-driven regionalization of forested and non-forested ecosystems in coastal British Columbia with LiDAR and RapidEye imagery. Applied Geography. 69. 35–50. 28 indexed citations
5.
Hilker, Thomas, Gordon W. Frazer, Nicholas C. Coops, et al.. (2013). Prediction of Wood Fiber Attributes from LiDAR-Derived Forest Canopy Indicators. Forest Science. 59(2). 231–242. 28 indexed citations
6.
Varhola, Andrés, et al.. (2012). Estimation of forest structure metrics relevant to hydrologic modelling using coordinate transformation of airborne laser scanning data. Hydrology and earth system sciences. 16(10). 3749–3766. 22 indexed citations
7.
Côté, Jean-François, Richard Fournier, Gordon W. Frazer, & K. Olaf Niemann. (2012). A fine-scale architectural model of trees to enhance LiDAR-derived measurements of forest canopy structure. Agricultural and Forest Meteorology. 166-167. 72–85. 79 indexed citations
8.
Magnussen, Steen, Erik Næsset, Terje Gobakken, & Gordon W. Frazer. (2011). A fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights. Scandinavian Journal of Forest Research. 27(3). 312–322. 36 indexed citations
9.
Leeuwen, Martin van, Thomas Hilker, Nicholas C. Coops, et al.. (2011). Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review. Forest Ecology and Management. 261(9). 1467–1478. 101 indexed citations
10.
Frazer, Gordon W., Steen Magnussen, Michael A. Wulder, & K. Olaf Niemann. (2010). Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass. Remote Sensing of Environment. 115(2). 636–649. 242 indexed citations
11.
Niemann, K. Olaf, et al.. (2009). LiDAR-guided analysis of airborne hyperspectral data. 1–4. 6 indexed citations
12.
13.
Frazer, Gordon W., et al.. (2006). Exploring Small Footprint Lidar Intensity Data in a Forested Environment. 2416–2419. 9 indexed citations
14.
Frazer, Gordon W., Michael A. Wulder, & K. Olaf Niemann. (2005). Simulation and quantification of the fine-scale spatial pattern and heterogeneity of forest canopy structure: A lacunarity-based method designed for analysis of continuous canopy heights. Forest Ecology and Management. 214(1-3). 65–90. 84 indexed citations
15.
Frazer, Gordon W., Richard Fournier, J. A. Trofymow, & Ronald J. Hall. (2001). A comparison of digital and film fisheye photography for analysis of forest canopy structure and gap light transmission. Agricultural and Forest Meteorology. 109(4). 249–263. 248 indexed citations
16.
Frazer, Gordon W., J. A. Trofymow, & Kenneth P. Lertzman. (2000). Canopy openness and leaf area in chronosequences of coastal temperate rainforests. Canadian Journal of Forest Research. 30(2). 239–256. 79 indexed citations
17.
Frazer, Gordon W., J. A. Trofymow, & Kenneth P. Lertzman. (2000). Canopy openness and leaf area in chronosequences of coastal temperate rainforests. Canadian Journal of Forest Research. 30(2). 239–256. 60 indexed citations
18.
Frazer, Gordon W.. (1999). Gap Light Analyzer (GLA). Medical Entomology and Zoology. 36. 47 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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