Martin Béland

630 total citations
8 papers, 509 citations indexed

About

Martin Béland is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Martin Béland has authored 8 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 5 papers in Environmental Engineering and 3 papers in Nature and Landscape Conservation. Recurrent topics in Martin Béland's work include Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Forest ecology and management (3 papers). Martin Béland is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Forest ecology and management (3 papers). Martin Béland collaborates with scholars based in Canada, Italy and United States. Martin Béland's co-authors include Jean‐Luc Widlowski, Richard Fournier, Jean-François Côté, Michel M. Verstraete, Kalifa Goı̈ta, F. Bonn, Yves Bergeron, Hideki Kobayashi, Geoffrey G. Parker and L. Chasmer and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and Agricultural and Forest Meteorology.

In The Last Decade

Martin Béland

8 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Béland Canada 5 378 301 228 175 68 8 509
Doo-Ahn Kwak South Korea 12 455 1.2× 278 0.9× 324 1.4× 191 1.1× 50 0.7× 31 617
Naoyuki Furuya Japan 13 399 1.1× 236 0.8× 236 1.0× 171 1.0× 42 0.6× 38 561
Masato Katoh Japan 12 390 1.0× 256 0.9× 199 0.9× 132 0.8× 37 0.5× 34 545
Petra Adler Germany 13 309 0.8× 236 0.8× 199 0.9× 120 0.7× 30 0.4× 19 459
Matheus Boni Vicari United Kingdom 10 556 1.5× 254 0.8× 426 1.9× 222 1.3× 82 1.2× 20 714
Udayalakshmi Vepakomma Canada 11 401 1.1× 252 0.8× 243 1.1× 189 1.1× 31 0.5× 15 535
Geoffrey A. Fricker United States 13 310 0.8× 317 1.1× 260 1.1× 213 1.2× 41 0.6× 24 626
Alicia Peduzzi United States 12 250 0.7× 200 0.7× 227 1.0× 125 0.7× 37 0.5× 30 396
She Guang-hui China 12 503 1.3× 300 1.0× 330 1.4× 149 0.9× 38 0.6× 33 653
Nicolò Camarretta Germany 11 197 0.5× 196 0.7× 137 0.6× 193 1.1× 39 0.6× 27 411

Countries citing papers authored by Martin Béland

Since Specialization
Citations

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

Fields of papers citing papers by Martin Béland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Béland

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

All Works

8 of 8 papers shown
1.
Béland, Martin & Hideki Kobayashi. (2024). Drivers of deciduous forest near-infrared reflectance: A 3D radiative transfer modeling exercise based on ground lidar. Remote Sensing of Environment. 302. 113951–113951. 4 indexed citations
2.
Béland, Martin, Geoffrey G. Parker, David J. Harding, et al.. (2015). White paper – On the use of LiDAR data at AmeriFlux sites. Sussex Research Online (University of Sussex). 2 indexed citations
3.
Widlowski, Jean‐Luc, Jean-François Côté, & Martin Béland. (2014). Abstract tree crowns in 3D radiative transfer models: Impact on simulated open-canopy reflectances. Remote Sensing of Environment. 142. 155–175. 80 indexed citations
4.
Béland, Martin, Jean‐Luc Widlowski, & Richard Fournier. (2013). A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR. Environmental Modelling & Software. 51. 184–189. 118 indexed citations
5.
Béland, Martin, Jean‐Luc Widlowski, Richard Fournier, Jean-François Côté, & Michel M. Verstraete. (2011). Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements. Agricultural and Forest Meteorology. 151(9). 1252–1266. 216 indexed citations
6.
Béland, Martin & Richard Fournier. (2008). Extracting Savanna Tree Structure Parameters from Multi-Angular Remote Sensing. 2. III – 306. 1 indexed citations
7.
Béland, Martin, et al.. (2006). Assessment of land‐cover changes related to shrimp aquaculture using remote sensing data: a case study in the Giao Thuy District, Vietnam. International Journal of Remote Sensing. 27(8). 1491–1510. 60 indexed citations
8.
Béland, Martin & Yves Bergeron. (1996). Height growth of jack pine (Pinushanksiana) in relation to site types in boreal forests of Abitibi, Quebec. Canadian Journal of Forest Research. 26(12). 2170–2179. 28 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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