Murray E Woods

47 papers receiving 2.1k citations

Murray E Woods's Hit Papers

Allometric equations for integrating remote sensing imagery into forest monitoring programmes 2016 · 341 citations
3410+3+6Years since publication100200300

Peers

Murray E Woods
Comparison fields: 5 of 68
  • Environmental Engineering 1.7k
  • Nature and Landscape Conservation 1.3k
  • Insect Science 744
  • Geology 219
  • Global and Planetary Change 625
Replace Doug G. Pitt with:
Doug G. Pitt Canada
Stephen E. Reutebuch United States
Juho Pitkänen Finland
Phil Wilkes United Kingdom
Alvaro Lau Netherlands
Antonio de Oliveira Ferraz United States
Jari Vauhkonen Finland
Carine Klauberg United States
Kevin S. Lim Canada
Mats B. Nilsson Sweden
Murray E Woods relative to Doug G. Pitt Canada Doug G. Pitt's profile →
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Doug G. Pitt · 1×
Citations per year

Countries citing papers authored by Murray E Woods

Since Specialization
Citations

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

Fields of papers citing papers by Murray E Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray E Woods. 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 Murray E Woods. The network helps show where Murray E Woods may publish in the future.

Co-authors

The 25 scholars most cited alongside Murray E Woods, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Murray E Woods Line = papers co-authored together Murray E Woods links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Allometric equations for integrating remote sensing imagery into forest monitoring programmes
Hit paper breakdown →
2016341
2 2013281
3 2013281
4 2011132
5 2012125
6 200887
7 202282
8 201472
9 202169
10 200655
11 201453
12 200846
13 202045
14 200644
15 201438
16 201932
17 202030
18 201530
19 200830
20 200829

About Murray E Woods

Murray E Woods is a scholar working on Nature and Landscape Conservation, Environmental Engineering, Insect Science, Ecology and Global and Planetary Change, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Forest ecology and management (36 papers), Remote Sensing and LiDAR Applications (34 papers), Forest Ecology and Biodiversity Studies (21 papers), Remote Sensing in Agriculture (12 papers), Forest Management and Policy (5 papers), Plant Water Relations and Carbon Dynamics (4 papers), Forest Biomass Utilization and Management (4 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Environmental Engineering (1.7k citations), Nature and Landscape Conservation (1.3k citations), Insect Science (744 citations), Geology (219 citations) and Global and Planetary Change (625 citations). Murray E Woods has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Doug G. Pitt, Joanne White, Nicholas C. Coops, Michael A. Wulder, Mikko Vastaranta, Kevin S. Lim, Paul Treitz, Margaret Penner, Bruce D. Cook and Andrés Varhola. Their work appears in journals such as The Forestry Chronicle, Forests, Canadian Journal of Remote Sensing, Geoderma and Remote Sensing.

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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