John R. Demboski

2.2k citations
38 papers · 1.6k indexed · h-index 20
Topics
Genetic diversity and population structure (21 papers)Wildlife Ecology and Conservation (19 papers)Species Distribution and Climate Change (13 papers)

In The Last Decade

John R. Demboski

38 papers receiving 1.5k citations

Peers

John R. Demboski
Comparison fields: 5 of 60
  • Genetics 977
  • Ecology 874
  • Ecological Modeling 466
  • Ecology, Evolution, Behavior and Systematics 391
  • Molecular Biology 265
Replace Shou‐Hsien Li with:
Shou‐Hsien Li Taiwan
Jaime García‐Moreno United States
Andrés M. Cuervo United States
Robert Prŷs‐Jones United Kingdom
Árpád S. Nyári United States
Peter A. Hosner United States
George Sangster Netherlands
Marjorie D. Matocq United States
Allan D. McDevitt United Kingdom
Elisabeth Haring Austria
John R. Demboski relative to Shou‐Hsien Li Taiwan Shou‐Hsien Li's profile →
Citations per field
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Shou‐Hsien Li · 1×
Citations per year

Countries citing papers authored by John R. Demboski

Since Specialization
Citations

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

Fields of papers citing papers by John R. Demboski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Demboski. 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 John R. Demboski. The network helps show where John R. Demboski may publish in the future.

Co-authorship network of co-authors of John R. Demboski

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Demboski. A scholar is included among the top collaborators of John R. Demboski 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 John R. Demboski. John R. Demboski 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 6
2 16
3 5
4 18
5 11
6 47
7 39
8 12
9 153
10 186
11 36
12 80
13 59
14 107
15 93
16 72
17 77
18 60
19 4
20 30

About John R. Demboski

John R. Demboski is a scholar working on Ecological Modeling, Ecology and Genetics, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Wildlife Ecology and Conservation (19 papers) and Species Distribution and Climate Change (13 papers). The work is most often cited by research in Ecological Modeling (466 citations), Genetics (977 citations) and Paleontology (251 citations). John R. Demboski has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Joseph A. Cook, Jack Sullivan, Jeffrey M. Good, Steven J. Brunsfeld, Noah M. Reid, Karen Stone, Sarah M. Hird, Bryan C. Carstens, Chris J. Conroy and David W. Nagorsen. Their work appears in journals such as Science, PLoS ONE and The American Naturalist.

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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