Adrien Michez

1.4k total citations
34 papers, 1.1k citations indexed

About

Adrien Michez is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Adrien Michez has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 19 papers in Environmental Engineering and 7 papers in Global and Planetary Change. Recurrent topics in Adrien Michez's work include Remote Sensing and LiDAR Applications (17 papers), Remote Sensing in Agriculture (14 papers) and Hydrology and Sediment Transport Processes (7 papers). Adrien Michez is often cited by papers focused on Remote Sensing and LiDAR Applications (17 papers), Remote Sensing in Agriculture (14 papers) and Hydrology and Sediment Transport Processes (7 papers). Adrien Michez collaborates with scholars based in Belgium, France and Italy. Adrien Michez's co-authors include Philippe Lejeune, Hugues Claessens, Jonathan Lisein, Hervé Piégay, Nicolas Latte, Stéphanie Bonnet, Simon Dufour, Sébastien Bauwens, Marianne Laslier and Delphine Brogna and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Adrien Michez

33 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrien Michez Belgium 17 773 600 304 170 156 34 1.1k
Andrew M. Cunliffe United Kingdom 16 704 0.9× 444 0.7× 335 1.1× 127 0.7× 63 0.4× 35 1.3k
Heather Reese Sweden 20 1.1k 1.5× 983 1.6× 650 2.1× 197 1.2× 151 1.0× 42 1.9k
Tyson L. Swetnam United States 16 340 0.4× 314 0.5× 380 1.3× 62 0.4× 79 0.5× 40 933
Nicholas Goodwin Australia 20 941 1.2× 919 1.5× 612 2.0× 105 0.6× 122 0.8× 32 1.6k
Guillermo Castilla Canada 18 714 0.9× 607 1.0× 463 1.5× 78 0.5× 37 0.2× 37 1.3k
Cibele Hummel do Amaral Brazil 21 499 0.6× 352 0.6× 350 1.2× 71 0.4× 52 0.3× 50 947
Hua Sun China 22 741 1.0× 727 1.2× 484 1.6× 65 0.4× 63 0.4× 74 1.3k
Vojtěch Barták Czechia 20 474 0.6× 314 0.5× 194 0.6× 258 1.5× 30 0.2× 45 916
Anu Swatantran United States 16 570 0.7× 710 1.2× 360 1.2× 109 0.6× 29 0.2× 29 1.1k
Julia Linke Canada 16 786 1.0× 459 0.8× 487 1.6× 104 0.6× 28 0.2× 28 1.2k

Countries citing papers authored by Adrien Michez

Since Specialization
Citations

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

Fields of papers citing papers by Adrien Michez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrien Michez

This figure shows the co-authorship network connecting the top 25 collaborators of Adrien Michez. A scholar is included among the top collaborators of Adrien Michez 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 Adrien Michez. Adrien Michez 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.
Müllerová, Jana, Rafi Kent, J Bruna, et al.. (2024). Understanding spatio-temporal complexity of vegetation using drones, what could we improve?. Journal of Environmental Management. 373. 123656–123656. 1 indexed citations
2.
Linchant, Julie, Philippe Lejeune, Cédric Vermeulen, et al.. (2023). Evaluation of an Innovative Rosette Flight Plan Design for Wildlife Aerial Surveys with UAS. Drones. 7(3). 208–208. 4 indexed citations
3.
Lejeune, Philippe, et al.. (2022). Mapping tree species proportions from satellite imagery using spectral–spatial deep learning. Remote Sensing of Environment. 280. 113205–113205. 55 indexed citations
4.
Latte, Nicolas, et al.. (2021). What Factors Shape Spatial Distribution of Biomass in Riparian Forests? Insights from a LiDAR Survey over a Large Area. Forests. 12(3). 371–371. 10 indexed citations
5.
6.
Lejeune, Philippe, et al.. (2021). Individual Identification of Cheetah (Acinonyx jubatus) Based on Close-Range Remote Sensing: First Steps of a New Monitoring Technique. Remote Sensing. 13(6). 1090–1090. 1 indexed citations
7.
Müllerová, Jana, Martynas Bučas, Joan Estrany, et al.. (2021). Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis. Ecological Indicators. 131. 108156–108156. 28 indexed citations
8.
Michez, Adrien, et al.. (2021). Water stream heating dynamics around extreme temperature events: An innovative method combining GAM and differential equations. Journal of Hydrology. 601. 126600–126600. 13 indexed citations
9.
Michez, Adrien, et al.. (2021). Ears in the Sky: Potential of Drones for the Bioacoustic Monitoring of Birds and Bats. Drones. 5(1). 9–9. 23 indexed citations
10.
Latte, Nicolas, et al.. (2020). Upscaling UAS Paradigm to UltraLight Aircrafts: A Low-Cost Multi-Sensors System for Large Scale Aerial Photogrammetry. Remote Sensing. 12(8). 1265–1265. 4 indexed citations
11.
Laslier, Marianne, et al.. (2020). Using remote sensing to characterize riparian vegetation: A review of available tools and perspectives for managers. Journal of Environmental Management. 267. 110652–110652. 89 indexed citations
12.
13.
Michez, Adrien, et al.. (2019). Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System. Remote Sensing. 11(5). 473–473. 72 indexed citations
14.
Brogna, Delphine, Marc Dufrêne, Adrien Michez, et al.. (2018). Forest cover correlates with good biological water quality. Insights from a regional study (Wallonia, Belgium). Journal of Environmental Management. 211. 9–21. 30 indexed citations
15.
Michez, Adrien, Hervé Piégay, Philippe Lejeune, & Hugues Claessens. (2017). Multi-temporal monitoring of a regional riparian buffer network (>12,000 km) with LiDAR and photogrammetric point clouds. Journal of Environmental Management. 202(Pt 2). 424–436. 35 indexed citations
16.
Michez, Adrien, Hervé Piégay, Jonathan Lisein, Hugues Claessens, & Philippe Lejeune. (2016). Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system. Environmental Monitoring and Assessment. 188(3). 146–146. 194 indexed citations
17.
Lisein, Jonathan, Adrien Michez, Hugues Claessens, & Philippe Lejeune. (2015). Discrimination of Deciduous Tree Species from Time Series of Unmanned Aerial System Imagery. PLoS ONE. 10(11). e0141006–e0141006. 92 indexed citations
18.
Michez, Adrien, Jean‐Louis Doucet, Nicolas Dendoncker, Philippe Bouché, & Cédric Vermeulen. (2013). Preliminary description of the diet of Hippopotamus amphibius L. in Loango National Park (Gabon). SHILAP Revista de lepidopterología. 4 indexed citations
19.
Bonnet, Stéphanie, et al.. (2013). Principes de base de la télédétection et ses potentialités comme outil de caractérisation de la ressource forestière – II. LiDAR aérien. Open Repository and Bibliography (University of Liège). 1 indexed citations
20.
Michez, Adrien. (2006). Etude de la population d’hippopotames (Hippopotamus amphibius L.) de la rivière Mouena Mouele au Parc National du Loango-Sud (Gabon). ORBi (University of Liège). 4 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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