Andrew McEachern

735 citations
23 papers · 420 · h-index 9

Impact in

Papers in

Andrew McEachern

20 papers receiving 402 citations

Peers

Andrew McEachern
Comparison fields: 5 of 55
  • Ecological Modeling 101
  • Nature and Landscape Conservation 234
  • Ecology, Evolution, Behavior and Systematics 170
  • Insect Science 64
  • Ecology 121
Replace Kenneth Molem with:
Kenneth Molem Czechia
Sarah M. Swope United States
Mao Amis South Africa
Arthur D. Chapman Australia
Claire Addis United Kingdom
Sérgio Timóteo Portugal
Jamie Alison United Kingdom
Chris Freeland United States
Argo Ronk Estonia
Lorena Gómez Aparicio Spain
Andrew McEachern relative to Kenneth Molem Czechia Kenneth Molem's profile →
Citations per field
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Citations per year

Countries citing papers authored by Andrew McEachern

Since Specialization
Citations

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

Fields of papers citing papers by Andrew McEachern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew McEachern, 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 Andrew McEachern Line = papers co-authored together Andrew McEachern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008101
2 200553
3 201049
4 201147
5 201235
6 201835
7 201721
8 200917
9 201310
10
PATTERNS IN POST-GRAZING VEGETATION CHANGES AMONG SPECIES AND ENVIRONMENTS, SAN MIGUEL AND SANTA BARBARA ISLANDS
20098
11 20148
12 20167
13 20137
14 20105
15 20104
16 20114
17 20153
18 20223
19
Habitat change in a perched dune system along Lake Superior
19982
20 20171

About Andrew McEachern

Andrew McEachern is a scholar working on Nature and Landscape Conservation, Ecology, Artificial Intelligence, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 23 papers that have together received 420 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (9 papers), Species Distribution and Climate Change (6 papers), Rangeland and Wildlife Management (6 papers), Evolutionary Algorithms and Applications (4 papers), Plant and animal studies (4 papers), Machine Learning in Bioinformatics (3 papers), Animal Ecology and Behavior Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Ecological Modeling (101 citations), Nature and Landscape Conservation (234 citations), Ecology, Evolution, Behavior and Systematics (170 citations), Insect Science (64 citations) and Ecology (121 citations). Andrew McEachern has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jonathan M. Levine, Daniel Ashlock, Tatyana A. Rand, Katriona Shea, Svaťa M. Louda, Amy E. Arnett, A. S. McClay, Pati Vitt, Diane M. Thomson and Claudia L. Jolls. Their work appears in journals such as Ecology, Ecological Applications, Biosystems, Conservation Biology and Biological Invasions.

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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