Gregory J. McDermid

4.9k total citations · 1 hit paper
79 papers, 3.9k citations indexed

About

Gregory J. McDermid is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Gregory J. McDermid has authored 79 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Ecology, 32 papers in Environmental Engineering and 27 papers in Global and Planetary Change. Recurrent topics in Gregory J. McDermid's work include Remote Sensing in Agriculture (38 papers), Remote Sensing and LiDAR Applications (26 papers) and Species Distribution and Climate Change (24 papers). Gregory J. McDermid is often cited by papers focused on Remote Sensing in Agriculture (38 papers), Remote Sensing and LiDAR Applications (26 papers) and Species Distribution and Climate Change (24 papers). Gregory J. McDermid collaborates with scholars based in Canada, United States and Brazil. Gregory J. McDermid's co-authors include Jennifer N. Hird, Julia Linke, Mark Hebblewhite, Evelyn H. Merrill, Steven E. Franklin, Michael A. Wulder, Nicholas C. Coops, Thomas Hilker, Gordon B. Stenhouse and Scott E. Nielsen and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Gregory J. McDermid

75 papers receiving 3.7k citations

Hit Papers

A new data fusion model for high spatial- and temporal-re... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers

Gregory J. McDermid
Comparison fields: 5 of 118
  • Ecology 2.9k
  • Global and Planetary Change 1.4k
  • Environmental Engineering 1.2k
  • Ecological Modeling 681
  • Nature and Landscape Conservation 525
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Citations per field, relative to Gregory J. McDermid
Gregory J. McDermid · 1×
Citations per year, relative to Gregory J. McDermid
Gregory J. McDermid · 1×

Countries citing papers authored by Gregory J. McDermid

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. McDermid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. McDermid. 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 Gregory J. McDermid. The network helps show where Gregory J. McDermid may publish in the future.

Co-authorship network of co-authors of Gregory J. McDermid

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. McDermid. A scholar is included among the top collaborators of Gregory J. McDermid 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 Gregory J. McDermid. Gregory J. McDermid 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
# Work Indexed citations
1 1
2 2
3 5
4 16
5 4
6 43
7 15
8 45
9 42
10 44
11 221
12 18
13 1
14 19
15 198
16 2
17 378
18
New tools to map, understand and track landscape changes and animal health for effective management and conservation of species at risk: progress report
1
19 94
20 66

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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