Christopher Mulverhill

432 total citations
21 papers, 269 citations indexed

About

Christopher Mulverhill is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Christopher Mulverhill has authored 21 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 13 papers in Ecology and 11 papers in Global and Planetary Change. Recurrent topics in Christopher Mulverhill's work include Remote Sensing and LiDAR Applications (16 papers), Remote Sensing in Agriculture (11 papers) and Fire effects on ecosystems (10 papers). Christopher Mulverhill is often cited by papers focused on Remote Sensing and LiDAR Applications (16 papers), Remote Sensing in Agriculture (11 papers) and Fire effects on ecosystems (10 papers). Christopher Mulverhill collaborates with scholars based in Canada, United States and Russia. Christopher Mulverhill's co-authors include Nicholas C. Coops, Piotr Tompalski, Alexis Achim, Joanne C. White, Tristan R.H. Goodbody, Michael A. Wulder, Txomin Hermosilla, Christopher W. Bater, Yong Pang and Zhengnan Zhang and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Christopher Mulverhill

18 papers receiving 262 citations

Peers

Christopher Mulverhill

ECOLO

NLC

GPC

Radomir Bałazy Poland

Olga Brovkina Czechia

Mattias Nyström Sweden

Bogdan M. Strîmbu United States

Gen Takao Japan

Rasmus Astrup Norway

Fugen Jiang China

Keiko Ioki Japan

Vasileios Kalogirou Italy

Nataliia Rehush Switzerland

Radomir Bałazy Poland

Christopher Mulverhill

155 ×0.8

116 ×0.9

ECOLO

123 ×1.0

NLC

87 ×0.9

GPC

57 ×1.3

Citations per year, relative to Christopher Mulverhill Christopher Mulverhill (= 1×) peers Radomir Bałazy

Countries citing papers authored by Christopher Mulverhill

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Mulverhill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Mulverhill

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Mulverhill. A scholar is included among the top collaborators of Christopher Mulverhill 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 Christopher Mulverhill. Christopher Mulverhill 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

Coops, Nicholas C., et al.. (2025). Post-fire structural forest recovery associated with climate extremes in dry sub-boreal forests. Landscape Ecology. 41(1). 14–14.

Mulverhill, Christopher, Nicholas C. Coops, Michael A. Wulder, et al.. (2025). Projected Future Changes in Burn Probability in Canada’s Forests and Communities Under Different Climate Change Scenarios. Canadian Journal of Remote Sensing. 51(1).

Mulverhill, Christopher, Nicholas C. Coops, Yan Boulanger, et al.. (2024). Wildfires are spreading fast in Canada — we must strengthen forests for the future. Nature. 633(8029). 282–285. 1 indexed citations

Coops, Nicholas C., et al.. (2024). Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests. Remote Sensing in Ecology and Conservation. 11(2). 221–238. 2 indexed citations

Coops, Nicholas C., et al.. (2024). Detection of non-stand replacing disturbances (NSR) using Harmonized Landsat-Sentinel-2 time series. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 264–276. 2 indexed citations

Coops, Nicholas C., et al.. (2024). Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data. Remote Sensing of Environment. 305. 114097–114097. 10 indexed citations

Mulverhill, Christopher, Nicholas C. Coops, Joanne C. White, Piotr Tompalski, & Alexis Achim. (2024). Evaluating the potential for continuous update of enhanced forest inventory attributes using optical satellite data. Forestry An International Journal of Forest Research. 98(2). 253–265. 5 indexed citations

Coops, Nicholas C., et al.. (2024). Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests. ISPRS Journal of Photogrammetry and Remote Sensing. 208. 121–135. 9 indexed citations

Mulverhill, Christopher, Nicholas C. Coops, Michael A. Wulder, et al.. (2024). Multidecadal mapping of status and trends in annual burn probability over Canada’s forested ecosystems. ISPRS Journal of Photogrammetry and Remote Sensing. 209. 279–295. 3 indexed citations

10.

Mulverhill, Christopher, Nicholas C. Coops, & Alexis Achim. (2023). Continuous monitoring and sub-annual change detection in high-latitude forests using Harmonized Landsat Sentinel-2 data. ISPRS Journal of Photogrammetry and Remote Sensing. 197. 309–319. 29 indexed citations

11.

Cushman, K. C., Sassan Saatchi, Ronald E. McRoberts, et al.. (2023). Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground Biomass Products from Airborne Lidar Data. Remote Sensing. 15(14). 3509–3509. 9 indexed citations

12.

Mulverhill, Christopher, Nicholas C. Coops, Txomin Hermosilla, Joanne C. White, & Michael A. Wulder. (2022). Evaluating ICESat-2 for monitoring, modeling, and update of large area forest canopy height products. Remote Sensing of Environment. 271. 112919–112919. 40 indexed citations

13.

Coops, Nicholas C., Piotr Tompalski, Tristan R.H. Goodbody, Alexis Achim, & Christopher Mulverhill. (2022). Framework for near real-time forest inventory using multi source remote sensing data. Forestry An International Journal of Forest Research. 96(1). 1–19. 60 indexed citations

14.

Mulverhill, Christopher, et al.. (2022). Automated Forest Harvest Detection With a Normalized PlanetScope Imagery Time Series. Canadian Journal of Remote Sensing. 49(1). 7 indexed citations

15.

Goodbody, Tristan R.H., Nicholas C. Coops, J. Luther, et al.. (2021). Airborne laser scanning for quantifying criteria and indicators of sustainable forest management in Canada. Canadian Journal of Forest Research. 51(7). 972–985. 17 indexed citations

16.

Mulverhill, Christopher, Nicholas C. Coops, Piotr Tompalski, & Christopher W. Bater. (2020). Digital Terrestrial Photogrammetry to Enhance Field-Based Forest Inventory across Stand Conditions. Canadian Journal of Remote Sensing. 46(5). 622–639. 6 indexed citations

17.

Mulverhill, Christopher, Nicholas C. Coops, Joanne C. White, Piotr Tompalski, & Peter Marshall. (2019). Structural development following stand-replacing disturbance in a boreal mixedwood forest. Forest Ecology and Management. 453. 117586–117586. 4 indexed citations

18.

Mulverhill, Christopher, et al.. (2019). The utility of terrestrial photogrammetry for assessment of tree volume and taper in boreal mixedwood forests. Annals of Forest Science. 76(3). 22 indexed citations

19.

Zhang, Zhengnan, et al.. (2019). Prediction of Diameter Distributions with Multimodal Models Using LiDAR Data in Subtropical Planted Forests. Forests. 10(2). 125–125. 21 indexed citations

20.

Mulverhill, Christopher, et al.. (2018). Enhancing the Estimation of Stem-Size Distributions for Unimodal and Bimodal Stands in a Boreal Mixedwood Forest with Airborne Laser Scanning Data. Forests. 9(2). 95–95. 20 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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