Matieu Henry

597 total citations
14 papers, 156 citations indexed

About

Matieu Henry is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Matieu Henry has authored 14 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nature and Landscape Conservation, 9 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Matieu Henry's work include Forest ecology and management (11 papers), Remote Sensing and LiDAR Applications (7 papers) and Forest Management and Policy (4 papers). Matieu Henry is often cited by papers focused on Forest ecology and management (11 papers), Remote Sensing and LiDAR Applications (7 papers) and Forest Management and Policy (4 papers). Matieu Henry collaborates with scholars based in Italy, Bangladesh and India. Matieu Henry's co-authors include Mohammad Raqibul Hasan Siddique, Mahmood Hossain, Shamsiah Abdullah, Wilson Ancelm Mugasha, R. E. Malimbwi, Dos Santos Silayo, Eliakimu Zahabu, Sadikul Islam, Laurent C. A. M. Tellier and Nicolas Barbier and has published in prestigious journals such as Forest Ecology and Management, Wetlands Ecology and Management and Journal of Forestry Research.

In The Last Decade

Matieu Henry

13 papers receiving 153 citations

Peers

Matieu Henry
Faustin Boyemba Bosela Democratic Republic of the Congo
Grâce Jopaul Loubota Panzou Republic of the Congo
Degi Harja Indonesia
Matieu Henry
Citations per year, relative to Matieu Henry Matieu Henry (= 1×) peers Romeo Ekoungoulou

Countries citing papers authored by Matieu Henry

Since Specialization
Citations

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

Fields of papers citing papers by Matieu Henry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matieu Henry

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

All Works

14 of 14 papers shown
1.
Ghosh, Amit, Yelena Finegold, Inge Jonckheere, et al.. (2024). Monitoring Sustainable Development Goal Indicator 15.3.1 on Land Degradation Using SEPAL: Examples, Challenges and Prospects. Land. 13(7). 1027–1027. 8 indexed citations
2.
Rajala, Tuomas, et al.. (2022). NAFORMA: National Forest Resources Monitoring and Assessment of Tanzania Mainland. FAO eBooks. 1 indexed citations
4.
Hossain, Mahmood, et al.. (2020). Allometric Biomass Model forAquilaria MalaccensisLam. in Bangladesh: A Nondestructive Approach. Journal of Sustainable Forestry. 40(6). 594–606. 6 indexed citations
5.
Mahmood, Hamayoun, et al.. (2020). SEMI-DESTRUCTIVE METHOD TO DERIVE ALLOMETRIC ABOVEGROUND BIOMASS MODEL FOR A VILLAGE FOREST IN BANGLADESH: COMPARISON OF REGIONAL AND PANTROPICAL MODELS. JOURNAL OF TROPICAL FOREST SCIENCE. 32(3). 246–256. 6 indexed citations
6.
Hossain, Mahmood, et al.. (2019). Which option best estimates the above-ground biomass of mangroves of Bangladesh: pantropical or site- and species-specific models?. Wetlands Ecology and Management. 27(4). 553–569. 18 indexed citations
7.
Hossain, Mahmood, et al.. (2019). Applicability of semi-destructive method to derive allometric model for estimating aboveground biomass and carbon stock in the Hill zone of Bangladesh. Journal of Forestry Research. 31(4). 1235–1245. 24 indexed citations
8.
Henry, Matieu, et al.. (2018). Carbon stocks and tree allometries in the savannahs of the Plateau Batéké, central Africa. Forest Ecology and Management. 427. 86–95. 6 indexed citations
9.
Sivaram, Muniandy, S. Sandeep, & Matieu Henry. (2016). Error Propagation in Forest Biomass Assessment. Indian Forester. 142(1). 62–67. 1 indexed citations
10.
Sandeep, S., et al.. (2016). Tree Allometric Equations in South Asia. Indian Forester. 142(1). 1–7. 1 indexed citations
11.
Henry, Matieu, et al.. (2016). Assessing woodfuel supply and demand in displacement settings: A technical handbook. 1 indexed citations
12.
Mugasha, Wilson Ancelm, et al.. (2016). Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania. International Journal of Forestry Research. 2016. 1–13. 51 indexed citations
13.
Picard, Nicolas, Matieu Henry, Noël Fonton, et al.. (2015). Error in the estimation of emission factors for forest degradation in central Africa. Journal of Forest Research. 21(1). 23–30. 9 indexed citations
14.
Maniatis, Danae, Yadvinder Malhi, Laurent Saint‐André, et al.. (2011). Evaluating the Potential of Commercial Forest Inventory Data to Report on Forest Carbon Stock and Forest Carbon Stock Changes for REDD+ under the UNFCCC. International Journal of Forestry Research. 2011. 1–13. 24 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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