Maile C. Neel

5.2k citations
49 papers · 2.8k indexed · 1 hit paper · h-index 25
Topics
Plant and animal studies (24 papers)Ecology and Vegetation Dynamics Studies (22 papers)Genetic diversity and population structure (11 papers)

In The Last Decade

Maile C. Neel

49 papers receiving 2.7k citations

Hit Papers

Parsimony in landscape metrics: Strength, universality, a...20082026201420202008100200300400500

Peers

Maile C. Neel
Comparison fields: 5 of 109
  • Ecology 1.4k
  • Global and Planetary Change 966
  • Nature and Landscape Conservation 912
  • Genetics 638
  • Ecology, Evolution, Behavior and Systematics 600
Replace Ute Jacob with:
Ute Jacob Germany
Geert De Blust Belgium
Mike S. Fowler United Kingdom
Karin Johst Germany
Justin Gerlach United Kingdom
Jurek Kolasa Canada
Leonie E. Valentine Australia
Kevin G. Smith United States
Sara Oldfield United Kingdom
Vassiliki Kati Greece
Maile C. Neel relative to Ute Jacob Germany Ute Jacob's profile →
Citations per field
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Ute Jacob · 1×
Citations per year

Countries citing papers authored by Maile C. Neel

Since Specialization
Citations

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

Fields of papers citing papers by Maile C. Neel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maile C. Neel. 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 Maile C. Neel. The network helps show where Maile C. Neel may publish in the future.

Co-authorship network of co-authors of Maile C. Neel

This figure shows the co-authorship network connecting the top 25 collaborators of Maile C. Neel. A scholar is included among the top collaborators of Maile C. Neel 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 Maile C. Neel. Maile C. Neel 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
#WorkIndexed citations
1 2
2 2
3
Species recovery in the united states: Increasing the effectiveness of the endangered species act
78
4 13
5 24
6 98
7 8
8 17
9 162
10 52
11 55
12 10
13 159
14 12
15 197
16
Parsimony in landscape metrics: Strength, universality, and consistencybreakdown →
501
17 101
18 16
19 17
20 5

About Maile C. Neel

Maile C. Neel is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant and animal studies (24 papers), Ecology and Vegetation Dynamics Studies (22 papers) and Genetic diversity and population structure (11 papers). The work is most often cited by research in Ecological Modeling (500 citations), Nature and Landscape Conservation (912 citations) and Ecology (1.4k citations). Maile C. Neel has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Samuel A. Cushman, Kevin McGarigal, Michael P. Cummings, Kerry L. Shaw, Michael W. Lloyd, Dale D. Goble, James M. Scott, Aaron M. Haines, William F. Fagan and Judy Che‐Castaldo. Their work appears in journals such as PLoS ONE, Evolution and Ecology Letters.

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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