Benoît St-Onge

3.7k total citations · 1 hit paper
45 papers, 3.0k citations indexed

About

Benoît St-Onge is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Benoît St-Onge has authored 45 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Environmental Engineering, 31 papers in Nature and Landscape Conservation and 15 papers in Ecology. Recurrent topics in Benoît St-Onge's work include Remote Sensing and LiDAR Applications (36 papers), Forest ecology and management (30 papers) and Remote Sensing in Agriculture (14 papers). Benoît St-Onge is often cited by papers focused on Remote Sensing and LiDAR Applications (36 papers), Forest ecology and management (30 papers) and Remote Sensing in Agriculture (14 papers). Benoît St-Onge collaborates with scholars based in Canada, United States and France. Benoît St-Onge's co-authors include Michael A. Wulder, Martin Flood, Paul Treitz, Kevin Lim, Cédric Vega, Daniel Kneeshaw, Udayalakshmi Vepakomma, Nicholas C. Coops, Thomas Hilker and J. A. Trofymow and has published in prestigious journals such as Remote Sensing of Environment, Journal of Ecology and Ecological Applications.

In The Last Decade

Benoît St-Onge

44 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LiDAR remote sensing of forest structure

2003 853 citations Michael A. Wulder, Benoît St-Onge et al. profile →

Author Peers

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

Author						Papers	Cites
Benoît St-Onge	2.5k	1.5k	1.4k	886	679	45	3.0k
Mats Nilsson	2.4k 1.0×	1.8k 1.2×	1.3k 0.9×	912 1.0×	701 1.0×	45	2.9k
Hans‐Erik Andersen	2.9k 1.1×	1.8k 1.2×	1.4k 1.0×	948 1.1×	966 1.4×	68	3.4k
Håkan Olsson	3.2k 1.3×	2.2k 1.5×	1.7k 1.2×	1.2k 1.3×	906 1.3×	93	3.9k
Robert J. McGaughey	2.5k 1.0×	1.7k 1.1×	1.3k 0.9×	936 1.1×	1.2k 1.8×	47	3.2k
Piotr Tompalski	2.9k 1.1×	1.6k 1.1×	1.7k 1.2×	984 1.1×	1.0k 1.5×	87	3.6k
Ole Martin Bollandsås	2.6k 1.0×	2.2k 1.5×	1.2k 0.8×	1.1k 1.2×	835 1.2×	88	3.3k
Markus Hollaus	2.3k 0.9×	1.1k 0.7×	1.1k 0.8×	739 0.8×	637 0.9×	106	2.8k
Timo Tokola	2.5k 1.0×	1.8k 1.2×	1.5k 1.0×	919 1.0×	713 1.1×	116	3.3k
Hans Ole Ørka	2.8k 1.1×	1.5k 1.0×	1.8k 1.2×	962 1.1×	646 1.0×	67	3.3k
Christopher W. Bater	1.8k 0.7×	1.0k 0.7×	1.2k 0.8×	564 0.6×	656 1.0×	49	2.3k

Countries citing papers authored by Benoît St-Onge

Since Specialization

Citations

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

Fields of papers citing papers by Benoît St-Onge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît St-Onge. 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 Benoît St-Onge. The network helps show where Benoît St-Onge may publish in the future.

Co-authorship network of co-authors of Benoît St-Onge

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rana, Parvez, et al.. (2022). Effect of feature standardization on reducing the requirements of field samples for individual tree species classification using ALS data. ISPRS Journal of Photogrammetry and Remote Sensing. 184. 189–202. 19 indexed citations

Réquia, Weeberb J., et al.. (2018). Spatial modeling of daily concentrations of ground-level ozone in Montreal, Canada: A comparison of geostatistical approaches. Environmental Research. 166. 487–496. 24 indexed citations

Doyon, Frédérik, et al.. (2018). Discrimination of canopy gaps and non-regenerating openings in old-growth temperate deciduous forests using airborne LiDAR data. Canadian Journal of Forest Research. 48(7). 774–782. 3 indexed citations

Rana, Parvez, et al.. (2018). Towards a Generalized Method for Tree Species Classification Using Multispectral Airborne Laser Scanning in Ontario, Canada. 5–8749. 3 indexed citations

St-Onge, Benoît, et al.. (2018). Mapping boreal forest biomass from a SRTM and TanDEM-X based on canopy height model and Landsat spectral indices. International Journal of Applied Earth Observation and Geoinformation. 68. 202–213. 34 indexed citations

St-Onge, Benoît, et al.. (2017). Identifying the genus or species of individual trees using a three-wavelength airborne lidar system. Remote Sensing of Environment. 204. 632–647. 127 indexed citations

Bégin, Jean, et al.. (2017). Lidar and Multispectral Imagery Classifications of Balsam Fir Tree Status for Accurate Predictions of Merchantable Volume. Forests. 8(7). 253–253. 10 indexed citations

Waldron, Kaysandra, et al.. (2016). The Delphi method as an alternative to standard committee meetings to identify ecological issues for forest ecosystem-based management: A case study. The Forestry Chronicle. 92(4). 453–464. 9 indexed citations

St-Onge, Benoît, et al.. (2015). Spatio-temporal models to estimate daily concentrations of fine particulate matter in Montreal: Kriging with external drift and inverse distance-weighted approaches. Journal of Exposure Science & Environmental Epidemiology. 26(4). 405–414. 29 indexed citations

10.

Boucher, Dominique, Louis De Grandpré, Daniel Kneeshaw, et al.. (2015). Effects of 80 years of forest management on landscape structure and pattern in the eastern Canadian boreal forest. Landscape Ecology. 30(10). 1913–1929. 28 indexed citations

11.

Hopkinson, Chris, L. Chasmer, Richard Fournier, et al.. (2013). Moving Toward Consistent ALS Monitoring of Forest Attributes across Canada. Photogrammetric Engineering & Remote Sensing. 79(2). 159–173. 19 indexed citations

12.

Chen, Gang, Geoffrey J. Hay, & Benoît St-Onge. (2011). A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: A case study in Quebec, Canada. International Journal of Applied Earth Observation and Geoinformation. 15. 28–37. 58 indexed citations

13.

Vepakomma, Udayalakshmi, Benoît St-Onge, & Daniel Kneeshaw. (2010). Response of a boreal forest to canopy opening: assessing vertical and lateral tree growth with multi-temporal lidar data. Ecological Applications. 21(1). 99–121. 71 indexed citations

14.

Wulder, Michael A., Joanne C. White, G. Stinson, et al.. (2009). Implications of differing input data sources and approaches upon forest carbon stock estimation. Environmental Monitoring and Assessment. 166(1-4). 543–561. 30 indexed citations

15.

Hay, Geoffrey J., et al.. (2009). Development of a pit filling algorithm for LiDAR canopy height models. Computers & Geosciences. 35(9). 1940–1949. 67 indexed citations

16.

Vepakomma, Udayalakshmi, Benoît St-Onge, Daniel Kneeshaw, et al.. (2008). Height growth of regeneration in boreal forest canopy gaps - does the type of gap matter? An assessment with lidar time series.. 159–167. 1 indexed citations

17.

Vega, Cédric & Benoît St-Onge. (2007). Height growth reconstruction of a boreal forest canopy over a period of 58 years using a combination of photogrammetric and lidar models. Remote Sensing of Environment. 112(4). 1784–1794. 85 indexed citations

18.

Vepakomma, Udayalakshmi, Benoît St-Onge, & Daniel Kneeshaw. (2007). Spatially explicit characterization of boreal forest gap dynamics using multi-temporal lidar data. Remote Sensing of Environment. 112(5). 2326–2340. 146 indexed citations

19.

St-Onge, Benoît, et al.. (2005). Aide au processus décisionnel pour la gestion par bassin versant au Québec : étude de cas et principaux enjeux. Cahiers de géographie du Québec. 48(134). 209–238. 9 indexed citations

20.

St-Onge, Benoît, et al.. (2004). Measuring individual tree height using a combination of stereophotogrammetry and lidar. Canadian Journal of Forest Research. 34(10). 2122–2130. 79 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.

Explore authors with similar magnitude of impact