Euan G. Mason

2.1k total citations
93 papers, 1.7k citations indexed

About

Euan G. Mason is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Mechanical Engineering. According to data from OpenAlex, Euan G. Mason has authored 93 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Nature and Landscape Conservation, 46 papers in Global and Planetary Change and 26 papers in Mechanical Engineering. Recurrent topics in Euan G. Mason's work include Forest ecology and management (70 papers), Plant Water Relations and Carbon Dynamics (28 papers) and Tree Root and Stability Studies (26 papers). Euan G. Mason is often cited by papers focused on Forest ecology and management (70 papers), Plant Water Relations and Carbon Dynamics (28 papers) and Tree Root and Stability Studies (26 papers). Euan G. Mason collaborates with scholars based in New Zealand, Chile and Sweden. Euan G. Mason's co-authors include Michael S. Watt, Jean-Pierre Lasserre, David Whitehead, B. Richardson, Peter W. Clinton, Horacio E. Bown, John R. Moore, Justin Morgenroth, Serajis Salekin and Mark O. Kimberley and has published in prestigious journals such as Plant and Soil, Forest Ecology and Management and Annals of Botany.

In The Last Decade

Euan G. Mason

89 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Euan G. Mason New Zealand 24 1.2k 683 504 323 319 93 1.7k
Steven E. McKeand United States 30 1.6k 1.3× 871 1.3× 274 0.5× 156 0.5× 843 2.6× 122 2.6k
Otávio Camargo Campoe Brazil 26 1.4k 1.1× 947 1.4× 155 0.3× 115 0.4× 431 1.4× 107 1.9k
Céline Meredieu France 24 913 0.7× 796 1.2× 405 0.8× 56 0.2× 332 1.0× 52 1.7k
Marian Kazda Germany 23 534 0.4× 441 0.6× 172 0.3× 177 0.5× 410 1.3× 65 1.5k
David Auty United States 23 1.1k 0.9× 608 0.9× 541 1.1× 500 1.5× 124 0.4× 60 1.9k
Dale Worledge Australia 24 748 0.6× 977 1.4× 216 0.4× 71 0.2× 457 1.4× 44 1.5k
Chhun-Huor Ung Canada 18 763 0.6× 601 0.9× 211 0.4× 101 0.3× 105 0.3× 45 1.0k
Roque Rodríguez‐Soalleiro Spain 27 1.3k 1.1× 1.0k 1.5× 234 0.5× 47 0.1× 212 0.7× 102 2.1k
Dean S. DeBell United States 27 1.3k 1.1× 903 1.3× 228 0.5× 93 0.3× 384 1.2× 97 2.2k
Veli‐Pekka Ikonen Finland 17 822 0.7× 592 0.9× 624 1.2× 115 0.4× 142 0.4× 40 1.3k

Countries citing papers authored by Euan G. Mason

Since Specialization
Citations

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

Fields of papers citing papers by Euan G. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Euan G. Mason. 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 Euan G. Mason. The network helps show where Euan G. Mason may publish in the future.

Co-authorship network of co-authors of Euan G. Mason

This figure shows the co-authorship network connecting the top 25 collaborators of Euan G. Mason. A scholar is included among the top collaborators of Euan G. Mason 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 Euan G. Mason. Euan G. Mason 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.
Ye, Ning, Euan G. Mason, Cong Xu, & Justin Morgenroth. (2025). Estimating individual tree DBH and biomass of durable Eucalyptus using UAV LiDAR. Ecological Informatics. 89. 103169–103169. 5 indexed citations
2.
Salekin, Serajis, Mark Bloomberg, Benye Xi, et al.. (2024). Hybrid ecophysiological growth model for deciduous Populus tomentosa plantation in northern China. Forest Ecosystems. 12. 100270–100270.
3.
Nilsson, Urban, et al.. (2022). Using hybrid modelling to predict basal area and evaluate effects of climate change on growth of Norway spruce and Scots pine stands. Scandinavian Journal of Forest Research. 37(1). 59–73. 12 indexed citations
4.
Salekin, Serajis, Mark Bloomberg, Justin Morgenroth, Dean F. Meason, & Euan G. Mason. (2021). Within-site drivers for soil nutrient variability in plantation forests: A case study from dry sub-humid New Zealand. CATENA. 200. 105149–105149. 12 indexed citations
5.
Mason, Euan G.. (2019). Influences of mean top height definition and sampling method on errors of estimates in New Zealand’s forest plantations. New Zealand journal of forestry science. 49. 4 indexed citations
6.
Mason, Euan G. & Justin Morgenroth. (2017). Potential for forestry on highly erodible land in New Zealand.. 62(1). 8–15. 1 indexed citations
7.
Mason, Euan G., et al.. (2015). A single-tree additive biomass model of Quercus variabilis Blume forests in North China. Trees. 29(3). 705–716. 22 indexed citations
8.
Bown, Horacio E., Michael S. Watt, Peter W. Clinton, Euan G. Mason, & David Whitehead. (2009). The influence of N and P supply and genotype on carbon flux and partitioning in potted Pinus radiata plants. Tree Physiology. 29(7). 857–868. 15 indexed citations
9.
Mason, Euan G.. (2009). Growth and yield modelling in a climate of change: how can we make good use of data from past epochs?. 54(3). 19–25. 3 indexed citations
10.
Bown, Horacio E., Euan G. Mason, Peter W. Clinton, & Michael S. Watt. (2009). Chlorophyll fluorescence response of Pinus radiata clones to nitrogen and phosphorus supply. Ciencia e investigación agraria. 36(3). 9 indexed citations
11.
Watt, Michael S., et al.. (2007). Influence of tree morphology, genetics, and initial stand density on outerwood modulus of elasticity of 17-year-old Pinus radiata. Forest Ecology and Management. 244(1-3). 86–92. 34 indexed citations
12.
Mason, Euan G., et al.. (2007). Time vs. light: a potentially useable light sum hybrid model to represent the juvenile growth of Douglas-fir subject to varying levels of competition. Canadian Journal of Forest Research. 37(4). 795–805. 15 indexed citations
13.
Bown, Horacio E., et al.. (2007). Partititioning concurrent influences of nitrogen and phosphorus supply on photosynthetic model parameters of Pinus radiata. Tree Physiology. 27(3). 335–344. 32 indexed citations
14.
Watt, Michelle, et al.. (2004). Leaf area dynamics of defoliated <i>Buddleia davidii</i>. Proceedings of the New Zealand Weed Control Conference. 57. 337–337. 1 indexed citations
15.
Mason, Euan G.. (2000). Evaluation of a model beech forest growing on the West Coast of the South Island of New Zealand.. 44(4). 26–31. 6 indexed citations
16.
Ngugi, Michael R., et al.. (2000). New growth models for Cupressus lusitanica and Pinus patula in Kenya.. JOURNAL OF TROPICAL FOREST SCIENCE. 12(3). 524–541. 10 indexed citations
17.
Mason, Euan G.. (2000). GENETIC INFLUENCE ON SECOND-LOG BRANCHING IN PINUS RADIATA. New Zealand journal of forestry science. 30(3). 315–331. 13 indexed citations
18.
Mason, Euan G.. (1995). Planning forest establishment operations with a computerised decision-support system: a case study analysis of decision making over a full rotation.. 137–139. 12 indexed citations
19.
Mason, Euan G., et al.. (1986). GROWTH OF PINUS RADIATA ON RIPPED AND UNRIPPED 1 AUPO PUMICE SOIL. 4 indexed citations
20.
Mason, Euan G., et al.. (1970). Object-oriented Software For Size-class Distributions Of Tree Crops. WIT Transactions on Ecology and the Environment. 6. 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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