Joanne C. White

23.6k total citations · 11 hit papers
245 papers, 16.3k citations indexed

About

Joanne C. White is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Joanne C. White has authored 245 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Environmental Engineering, 148 papers in Ecology and 109 papers in Global and Planetary Change. Recurrent topics in Joanne C. White's work include Remote Sensing and LiDAR Applications (166 papers), Remote Sensing in Agriculture (123 papers) and Forest ecology and management (78 papers). Joanne C. White is often cited by papers focused on Remote Sensing and LiDAR Applications (166 papers), Remote Sensing in Agriculture (123 papers) and Forest ecology and management (78 papers). Joanne C. White collaborates with scholars based in Canada, United States and Finland. Joanne C. White's co-authors include Michael A. Wulder, Nicholas C. Coops, Txomin Hermosilla, Thomas Hilker, Cristina Gómez, Geordie Hobart, Piotr Tompalski, Jeffrey G. Masek, Mikko Vastaranta and Christopher W. Bater and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Joanne C. White

240 papers receiving 15.7k citations

Hit Papers

Optical remotely sensed time series data for ... 2007 2026 2013 2019 2016 2016 2009 2012 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanne C. White Canada 62 10.1k 9.0k 7.4k 4.7k 2.3k 245 16.3k
Warren B. Cohen United States 75 15.1k 1.5× 11.2k 1.2× 13.1k 1.8× 6.4k 1.4× 1.8k 0.8× 176 23.7k
Ralph Dubayah United States 62 7.8k 0.8× 10.2k 1.1× 6.1k 0.8× 6.2k 1.3× 1.5k 0.7× 221 15.3k
Nicholas C. Coops Canada 83 16.5k 1.6× 15.0k 1.7× 13.4k 1.8× 9.2k 2.0× 3.6k 1.6× 642 28.9k
Qinghua Guo China 58 5.0k 0.5× 5.5k 0.6× 3.7k 0.5× 3.1k 0.7× 1.1k 0.5× 229 11.3k
M. A. Lefsky United States 34 5.2k 0.5× 7.2k 0.8× 3.7k 0.5× 4.7k 1.0× 1.6k 0.7× 70 10.2k
Michael A. Wulder Canada 91 20.2k 2.0× 16.1k 1.8× 15.1k 2.1× 8.6k 1.8× 3.7k 1.6× 446 32.2k
Maggi Kelly United States 50 4.9k 0.5× 3.7k 0.4× 3.7k 0.5× 2.2k 0.5× 932 0.4× 156 9.9k
Andrew T. Hudak United States 55 5.8k 0.6× 6.0k 0.7× 6.1k 0.8× 4.1k 0.9× 1.8k 0.8× 230 11.0k
Dar A. Roberts United States 73 10.7k 1.1× 6.6k 0.7× 10.3k 1.4× 2.5k 0.5× 464 0.2× 306 20.3k
Crystal Schaaf United States 74 11.9k 1.2× 8.6k 1.0× 12.6k 1.7× 1.9k 0.4× 557 0.2× 250 20.6k

Countries citing papers authored by Joanne C. White

Since Specialization
Citations

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

Fields of papers citing papers by Joanne C. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne C. White. 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 Joanne C. White. The network helps show where Joanne C. White may publish in the future.

Co-authorship network of co-authors of Joanne C. White

This figure shows the co-authorship network connecting the top 25 collaborators of Joanne C. White. A scholar is included among the top collaborators of Joanne C. White 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 Joanne C. White. Joanne C. White 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.
Tompalski, Piotr, Txomin Hermosilla, Sharad Kumar Baral, Michael A. Wulder, & Joanne C. White. (2025). National remote sensing-derived aboveground biomass yield curves for Canada. Forestry An International Journal of Forest Research. 99(2).
2.
Coops, Nicholas C., et al.. (2025). Tree species proportion prediction using airborne laser scanning and Sentinel-2 data within a deep learning based dual-stream data fusion approach. International Journal of Remote Sensing. 46(14). 5436–5464.
3.
Coops, Nicholas C., et al.. (2025). Forest aboveground biomass estimation using deep learning data fusion of ALS, multispectral, and topographic data. International Journal of Remote Sensing. 46(10). 3874–3912. 3 indexed citations
4.
Baral, Sharad Kumar, Paul Boudewyn, Txomin Hermosilla, et al.. (2025). Improving sample-based National Forest Inventory estimates of tree cover using Landsat-derived land cover data as auxiliary information. Canadian Journal of Forest Research. 55. 1–19. 1 indexed citations
5.
Fortin, Mathieu, et al.. (2024). A bootstrap-based approach to combine individual-based forest growth models and remotely sensed data. Forestry An International Journal of Forest Research. 97(4). 649–661. 1 indexed citations
6.
Queinnec, Martin, Nicholas C. Coops, & Joanne C. White. (2024). Characterizing post-fire northern boreal forest height dynamics. International Journal of Remote Sensing. 45(7). 2182–2207. 2 indexed citations
7.
Coops, Nicholas C., et al.. (2023). Estimating tree species composition from airborne laser scanning data using point-based deep learning models. ISPRS Journal of Photogrammetry and Remote Sensing. 207. 282–297. 9 indexed citations
8.
White, Joanne C., et al.. (2023). Detecting and excluding disturbed forest areas improves site index determination using bitemporal airborne laser scanner data. Forestry An International Journal of Forest Research. 97(1). 48–58. 4 indexed citations
9.
Coops, Nicholas C., et al.. (2023). Modeling instream temperature from solar insolation under varying timber harvesting intensities using RPAS laser scanning. The Science of The Total Environment. 912. 169459–169459. 4 indexed citations
10.
Goodbody, Tristan R.H., Nicholas C. Coops, Martin Queinnec, et al.. (2023). sgsR: a structurally guided sampling toolbox for LiDAR-based forest inventories. Forestry An International Journal of Forest Research. 96(4). 411–424. 16 indexed citations
11.
Coops, Nicholas C., et al.. (2023). Modelling tree biomass using direct and additive methods with point cloud deep learning in a temperate mixed forest. SHILAP Revista de lepidopterología. 8. 100110–100110. 12 indexed citations
12.
Crowley, Morgan A., Christopher A. Stockdale, Joshua M. Johnston, et al.. (2022). Towards a whole‐system framework for wildfire monitoring using Earth observations. Global Change Biology. 29(6). 1423–1436. 30 indexed citations
13.
14.
Li, Zhan, Joanne C. White, Michael A. Wulder, et al.. (2020). Land cover harmonization using Latent Dirichlet Allocation. International Journal of Geographical Information Systems. 35(2). 348–374. 16 indexed citations
15.
Crowley, Morgan A., Jeffrey A. Cardille, Joanne C. White, & Michael A. Wulder. (2018). Multi-sensor, multi-scale, Bayesian data synthesis for mapping within-year wildfire progression. Remote Sensing Letters. 10(3). 302–311. 41 indexed citations
16.
Wulder, Michael A., Nicholas C. Coops, David P. Roy, Joanne C. White, & Txomin Hermosilla. (2018). Land cover 2.0. International Journal of Remote Sensing. 39(12). 4254–4284. 291 indexed citations breakdown →
17.
Vastaranta, Mikko, Xiaowei Yu, Ville Luoma, et al.. (2018). Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy. International Journal of Remote Sensing. 39(23). 8766–8783. 19 indexed citations
20.
Tompalski, Piotr, et al.. (2018). Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sensing. 10(2). 347–347. 52 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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