Kim Cuddington

6.6k citations
50 papers · 4.8k indexed · 3 hit papers · h-index 26
Topics
Ecosystem dynamics and resilience (17 papers)Ecology and Vegetation Dynamics Studies (13 papers)Animal Ecology and Behavior Studies (12 papers)

In The Last Decade

Kim Cuddington

49 papers receiving 4.6k citations

Hit Papers

Alternative stable states in ecology2003202620102018200320042018250500750

Peers

Kim Cuddington
Comparison fields: 5 of 152
  • Ecology 2.2k
  • Global and Planetary Change 1.7k
  • Nature and Landscape Conservation 1.7k
  • Ecology, Evolution, Behavior and Systematics 873
  • Genetics 603
Replace Richard A. Stillman with:
Richard A. Stillman United Kingdom
Michael G. Neubert United States
Sonia Kéfi France
Bruce E. Kendall United States
Per Lundberg Sweden
Samraat Pawar United Kingdom
Gary R. Huxel United States
Philip H. Crowley United States
David A. Vasseur United States
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Kim Cuddington relative to Richard A. Stillman United Kingdom Richard A. Stillman's profile →
Citations per field
00.5×1.5×1.9×
Richard A. Stillman · 1×
Citations per year

Countries citing papers authored by Kim Cuddington

Since Specialization
Citations

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

Fields of papers citing papers by Kim Cuddington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Cuddington

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Cuddington. A scholar is included among the top collaborators of Kim Cuddington 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 Kim Cuddington. Kim Cuddington 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 1
3 6
4 0
5 1
6 55
7 1
8 13
9 133
10
Transient phenomena in ecologybreakdown →
377
11 11
12 40
13 13
14 68
15 4
16
Ecosystem engineers : plants to protists
108
17 440
18
Ecological paradigms lost : routes of theory change
51
19 71
20 22

About Kim Cuddington

Kim Cuddington is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Global and Planetary Change, having authored 50 papers that have together received 4.8k indexed citations. Recurring topics across this work include Ecosystem dynamics and resilience (17 papers), Ecology and Vegetation Dynamics Studies (13 papers) and Animal Ecology and Behavior Studies (12 papers). The work is most often cited by research in Nature and Landscape Conservation (1.7k citations), Ecological Modeling (478 citations) and Ecology (2.2k citations). Kim Cuddington has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Beatrix E. Beisner, Alan Hastings, John Lambrinos, William G. Wilson, Peter Yodzis, Jeffrey A. Crooks, James E. Byers, Clive G. Jones, Theresa Sinicrope Talley and Karen C. Abbott. Their work appears in journals such as Science, Trends in Ecology & Evolution and Ecology.

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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