Matthieu Molinier

1.9k total citations
50 papers, 1.3k citations indexed

About

Matthieu Molinier is a scholar working on Ecology, Media Technology and Environmental Engineering. According to data from OpenAlex, Matthieu Molinier has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 24 papers in Media Technology and 22 papers in Environmental Engineering. Recurrent topics in Matthieu Molinier's work include Remote Sensing in Agriculture (23 papers), Remote-Sensing Image Classification (20 papers) and Remote Sensing and LiDAR Applications (17 papers). Matthieu Molinier is often cited by papers focused on Remote Sensing in Agriculture (23 papers), Remote-Sensing Image Classification (20 papers) and Remote Sensing and LiDAR Applications (17 papers). Matthieu Molinier collaborates with scholars based in Finland, China and United States. Matthieu Molinier's co-authors include Tuomas Häme, Jorma Laaksonen, Heikki Astola, Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Jorma Kilpi, Zhaocong Wu, Zhongwen Hu and Jun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Matthieu Molinier

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Molinier Finland 18 617 500 421 364 218 50 1.3k
Leila María García Fonseca Brazil 19 436 0.7× 450 0.9× 207 0.5× 312 0.9× 188 0.9× 119 1.3k
Jiaojiao Tian Germany 18 520 0.8× 399 0.8× 538 1.3× 214 0.6× 316 1.4× 115 1.3k
Arnt-Børre Salberg Norway 17 460 0.7× 317 0.6× 260 0.6× 461 1.3× 183 0.8× 64 1.6k
Weijia Li China 22 492 0.8× 714 1.4× 660 1.6× 329 0.9× 205 0.9× 70 1.9k
Oğuz Güngör Türkiye 18 406 0.7× 391 0.8× 354 0.8× 220 0.6× 144 0.7× 50 1.1k
Samia Boukir France 15 314 0.5× 405 0.8× 416 1.0× 372 1.0× 111 0.5× 40 1.2k
Fuan Tsai Taiwan 16 396 0.6× 502 1.0× 245 0.6× 140 0.4× 267 1.2× 76 1.4k
Qimin Cheng China 18 502 0.8× 196 0.4× 235 0.6× 663 1.8× 129 0.6× 61 1.6k
Diego Marcos Netherlands 19 424 0.7× 356 0.7× 235 0.6× 600 1.6× 133 0.6× 49 1.5k
Sophie Fabre France 19 741 1.2× 459 0.9× 431 1.0× 443 1.2× 171 0.8× 49 1.5k

Countries citing papers authored by Matthieu Molinier

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Molinier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Molinier

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Molinier. A scholar is included among the top collaborators of Matthieu Molinier 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 Matthieu Molinier. Matthieu Molinier 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.
Antropov, Oleg, et al.. (2024). Forest Disturbance Detection via Self-Supervised and Transfer Learning With Sentinel-1&2 Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 4751–4767. 4 indexed citations
2.
Li, Jun, Xiao Ling, Fan Gao, et al.. (2024). A Unified Cloud Detection Method for Suomi-NPP VIIRS Day and Night PAN Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 3 indexed citations
3.
López‐Serrano, Pablito Marcelo, et al.. (2023). Evaluation of forest cover loss in properties in the Sierra Madre Occidental, State of Durango, Mexico, certified by the Forest Stewardship Council. Trees Forests and People. 14. 100454–100454. 4 indexed citations
4.
Marjamaa, Kaisa, Jenni Rahikainen, Ulla Holopainen‐Mantila, et al.. (2022). Oxidative modification of cellulosic fibres by lytic polysaccharide monooxygenase AA9A from Trichoderma reesei. Cellulose. 29(11). 6021–6038. 8 indexed citations
5.
Mõttus, Matti, et al.. (2022). TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 9 indexed citations
6.
Li, Jun, Yuejie Zhang, Zhaocong Wu, et al.. (2022). Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 8759–8775. 18 indexed citations
7.
Li, Jun, Zhaocong Wu, Zhongwen Hu, et al.. (2021). A Lightweight Deep Learning-Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multiscale Spectral and Spatial Features. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 53 indexed citations
8.
Li, Jun, Zhaocong Wu, Zhongwen Hu, et al.. (2021). Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery. Remote Sensing. 13(1). 157–157. 35 indexed citations
9.
Astola, Heikki, et al.. (2021). Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest. Remote Sensing. 13(12). 2392–2392. 40 indexed citations
10.
Li, Jing, Zhijian Wu, Zhi‐Yong Hu, Yi Zhang, & Matthieu Molinier. (2020). AUTOMATIC CLOUD DETECTION METHOD BASED ON GENERATIVE ADVERSARIAL NETWORKS IN REMOTE SENSING IMAGES. SHILAP Revista de lepidopterología. V-2-2020. 885–892.
11.
Li, Jun, et al.. (2020). Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion. ISPRS Journal of Photogrammetry and Remote Sensing. 166. 373–389. 114 indexed citations
12.
Mohammadimanesh, Fariba, Bahram Salehi, Masoud Mahdianpari, Eric W. Gill, & Matthieu Molinier. (2019). A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem. ISPRS Journal of Photogrammetry and Remote Sensing. 151. 223–236. 180 indexed citations
13.
Rahikainen, Jenni, Matthieu Molinier, Ulla Holopainen‐Mantila, et al.. (2019). Effect of cellulase family and structure on modification of wood fibres at high consistency. Cellulose. 26(8). 5085–5103. 29 indexed citations
14.
Astola, Heikki, Tuomas Häme, Laura Sirro, Matthieu Molinier, & Jorma Kilpi. (2019). Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region. Remote Sensing of Environment. 223. 257–273. 188 indexed citations
15.
Wu, Zhaocong, Jun Li, Yisong Wang, Zhongwen Hu, & Matthieu Molinier. (2019). Self-Attentive Generative Adversarial Network for Cloud Detection in High Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 17(10). 1792–1796. 36 indexed citations
16.
Franks, Shannon, et al.. (2018). Landsat time series analysis for temperate forest cover change detection in the Sierra Madre Occidental, Durango, Mexico. International Journal of Applied Earth Observation and Geoinformation. 73. 230–244. 33 indexed citations
17.
Anwer, Rao Muhammad, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, & Jorma Laaksonen. (2018). Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification. ISPRS Journal of Photogrammetry and Remote Sensing. 138. 74–85. 236 indexed citations
18.
19.
Molinier, Matthieu, et al.. (2016). Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping. Remote Sensing. 8(10). 869–869. 36 indexed citations
20.
Bosseno, Marie France, et al.. (1979). Laboratory maintenance of Trypanosoma brucei gambiense strains in the People's Republic of the Congo. Virulence in relation to epidemiology.. 17(2). 107–118. 1 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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