Mathieu Fortin

2.1k total citations
93 papers, 1.6k citations indexed

About

Mathieu Fortin is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Mathieu Fortin has authored 93 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Nature and Landscape Conservation, 63 papers in Global and Planetary Change and 34 papers in Environmental Engineering. Recurrent topics in Mathieu Fortin's work include Forest ecology and management (68 papers), Forest Management and Policy (41 papers) and Remote Sensing and LiDAR Applications (31 papers). Mathieu Fortin is often cited by papers focused on Forest ecology and management (68 papers), Forest Management and Policy (41 papers) and Remote Sensing and LiDAR Applications (31 papers). Mathieu Fortin collaborates with scholars based in Canada, France and United Kingdom. Mathieu Fortin's co-authors include Josianne DeBlois, Rubén Manso, Steve Bédard, François Ningre, Bruno Ringeval, Laurent Augusto, David Achat, Guy Landmann, Mériem Fournier and François Lebourgeois and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Mathieu Fortin

89 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Fortin Canada 22 1.1k 1.0k 356 253 239 93 1.6k
Jari Miina Finland 29 1.5k 1.4× 1.4k 1.4× 325 0.9× 208 0.8× 517 2.2× 94 2.1k
Guy R. Larocque Canada 24 910 0.9× 876 0.9× 184 0.5× 169 0.7× 147 0.6× 82 1.5k
Esther Thürig Switzerland 23 708 0.7× 934 0.9× 306 0.9× 208 0.8× 279 1.2× 56 1.3k
Marc Palahí Finland 24 862 0.8× 1.1k 1.1× 299 0.8× 105 0.4× 279 1.2× 56 1.7k
Vincent Kint Belgium 22 1.0k 1.0× 856 0.8× 316 0.9× 351 1.4× 220 0.9× 46 1.6k
Gregorio Montero Spain 28 1.7k 1.6× 1.3k 1.3× 612 1.7× 200 0.8× 264 1.1× 53 2.2k
Fengri Li China 24 1.2k 1.1× 916 0.9× 673 1.9× 101 0.4× 156 0.7× 142 1.7k
Carlos A. González-Benecke United States 20 716 0.7× 703 0.7× 402 1.1× 163 0.6× 143 0.6× 60 1.2k
Marek Fabrika Slovakia 7 915 0.9× 1.4k 1.3× 209 0.6× 328 1.3× 393 1.6× 11 2.0k
Thomas Nord‐Larsen Denmark 26 904 0.9× 711 0.7× 629 1.8× 79 0.3× 249 1.0× 62 1.6k

Countries citing papers authored by Mathieu Fortin

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Fortin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Fortin

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Fortin. A scholar is included among the top collaborators of Mathieu Fortin 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 Mathieu Fortin. Mathieu Fortin 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.
Fortin, Mathieu, et al.. (2025). Data fusion approach for predicting high resolution estimates of crop evapotranspiration. Precision Agriculture. 26(5).
2.
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
3.
Fortin, Mathieu, et al.. (2024). Climate interacts with the trait structure of tree communities to influence forest productivity. Journal of Ecology. 112(8). 1758–1773. 3 indexed citations
4.
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
5.
Jha, Gaurav, et al.. (2023). Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review. Sustainability. 15(3). 1843–1843. 32 indexed citations
6.
7.
Fortin, Mathieu, et al.. (2023). The effect of climate on the occurrence and abundance of tree recruitment in the province of Quebec, Canada. Forestry An International Journal of Forest Research. 97(1). 147–161. 2 indexed citations
8.
Aussenac, Raphaël, Thomas Pérot, Mathieu Fortin, et al.. (2021). The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations. SHILAP Revista de lepidopterología. 1. 61–61. 2 indexed citations
9.
Aussenac, Raphaël, Thomas Pérot, Mathieu Fortin, et al.. (2021). The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed stands and simulating management operations. Open Research Europe. 1. 61–61. 2 indexed citations
10.
Fortin, Mathieu, et al.. (2019). The effect of stumpage prices on large-area forest growth forecasts based on socio-ecological models. Forestry An International Journal of Forest Research. 92(3). 339–356. 8 indexed citations
11.
Melo, L. C., Robert Schneider, & Mathieu Fortin. (2018). Estimating model- and sampling-related uncertainty in large-area growth predictions. Ecological Modelling. 390. 62–69. 11 indexed citations
12.
Fortin, Mathieu. (2014). Using a segmented logistic model to predict trees to be harvested in forest growth forecasts. Forest Systems. 23(1). 139–152. 17 indexed citations
13.
Danjon, Frédéric, Joshua S. Caplan, Mathieu Fortin, & Céline Meredieu. (2013). Descendant root volume varies as a function of root type: estimation of root biomass lost during uprooting in Pinus pinaster. Frontiers in Plant Science. 4. 402–402. 23 indexed citations
14.
Colin, Francis, et al.. (2012). Fagus sylvatica trunk epicormics in relation to primary and secondary growth. Annals of Botany. 110(5). 995–1005. 18 indexed citations
15.
Rathgeber, Cyrille, et al.. (2012). Life strategies in intra-annual dynamics of wood formation: example of three conifer species in a temperate forest in north-east France. Tree Physiology. 32(5). 612–625. 151 indexed citations
16.
Manso, Rubén, Mathieu Fortin, Rafael Calama, & Marta Pardos. (2012). Modelling seed germination in forest tree species through survival analysis. The Pinus pinea L. case study. Forest Ecology and Management. 289. 515–524. 32 indexed citations
17.
Schneider, Robert, et al.. (2011). Modeling Jack Pine (Pinus banksiana) Foliage Density Distribution. Forest Science. 57(3). 180–188. 1 indexed citations
18.
Schneider, Robert, et al.. (2011). Modeling Jack Pine (Pinus banksiana) Foliage Density Distribution. Forest Science. 57(3). 180–188. 10 indexed citations
19.
Fortin, Mathieu & Josianne DeBlois. (2007). Modeling Tree Recruitment with Zero-Inflated Models: The Example of Hardwood Stands in Southern Québec, Canada. Forest Science. 53(4). 529–539. 60 indexed citations
20.
Hayman, D. S., et al.. (1983). Design of an arboreal shade project to control aquatic plant growth. The Atrium (University of Guelph).

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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