Daniel J. McGlinn

4.8k total citations
44 papers, 1.6k citations indexed

About

Daniel J. McGlinn is a scholar working on Nature and Landscape Conservation, Ecology and Ecological Modeling. According to data from OpenAlex, Daniel J. McGlinn has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nature and Landscape Conservation, 18 papers in Ecology and 18 papers in Ecological Modeling. Recurrent topics in Daniel J. McGlinn's work include Ecology and Vegetation Dynamics Studies (26 papers), Species Distribution and Climate Change (18 papers) and Plant and animal studies (15 papers). Daniel J. McGlinn is often cited by papers focused on Ecology and Vegetation Dynamics Studies (26 papers), Species Distribution and Climate Change (18 papers) and Plant and animal studies (15 papers). Daniel J. McGlinn collaborates with scholars based in United States, Germany and Australia. Daniel J. McGlinn's co-authors include Jonathan M. Chase, Michael W. Palmer, Shane A. Blowes, Nicholas J. Gotelli, Brian J. McGill, Felix May, Xiao Xiao, Tiffany M. Knight, Ethan P. White and Oliver Purschke and has published in prestigious journals such as Nature Communications, Ecology and Applied and Environmental Microbiology.

In The Last Decade

Daniel J. McGlinn

43 papers receiving 1.6k citations

Peers

Daniel J. McGlinn
Comparison fields: 5 of 103
  • Nature and Landscape Conservation 800
  • Ecology 590
  • Global and Planetary Change 510
  • Ecological Modeling 449
  • Ecology, Evolution, Behavior and Systematics 383
Replace Brian Maitner with:
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Brian Maitner United States View profile →
Citations per field, relative to Daniel J. McGlinn
Daniel J. McGlinn · 1×
Citations per year, relative to Daniel J. McGlinn
Daniel J. McGlinn · 1×

Countries citing papers authored by Daniel J. McGlinn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. McGlinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. McGlinn

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. McGlinn. A scholar is included among the top collaborators of Daniel J. McGlinn 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 Daniel J. McGlinn. Daniel J. McGlinn 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 6
3 45
4 5
5 3
6 28
7 19
8 2
9 6
10 32
11 207
12 94
13 96
14 8
15 11
16 44
17 22
18 10
19 35
20 14

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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