Kate E. Plummer

1.6k citations
23 papers · 1.2k · h-index 16

Impact in

Papers in

Kate E. Plummer

23 papers receiving 1.2k citations

Peers

Kate E. Plummer
Comparison fields: 5 of 107
  • Ecological Modeling 174
  • Health, Toxicology and Mutagenesis 406
  • Ecology 595
  • Global and Planetary Change 389
  • Developmental Biology 32
Replace Daniel T. C. Cox with:
Daniel T. C. Cox United Kingdom
Chan‐Ryul Park South Korea
Marco Dinetti United States
Joscha Beninde Germany
Jessica R. Sushinsky Australia
Jameson F. Chace United States
Solène Croci France
Erica N. Spotswood United States
Laura Rayner Australia
Marja‐Liisa Kaisanlahti‐Jokimäki Finland
Kate E. Plummer relative to Daniel T. C. Cox United Kingdom Daniel T. C. Cox's profile →
Citations per field
00.5×2×4×5.6×
Daniel T. C. Cox · 1×
Citations per year

Countries citing papers authored by Kate E. Plummer

Since Specialization
Citations

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

Fields of papers citing papers by Kate E. Plummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate E. Plummer. 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 Kate E. Plummer. The network helps show where Kate E. Plummer may publish in the future.

Co-authors

The 25 scholars most cited alongside Kate E. Plummer, 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 Kate E. Plummer Line = papers co-authored together Kate E. Plummer 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 2016303
2 2012118
3 2015114
4 201790
5 201375
6 201969
7 202161
8 202047
9 201845
10 201641
11 201835
12 201334
13 201427
14 201926
15 201425
16 201623
17 202315
18 201814
19 202311
20 202211

About Kate E. Plummer

Kate E. Plummer is a scholar working on Ecology, Health, Toxicology and Mutagenesis, Global and Planetary Change, Nature and Landscape Conservation and Ecological Modeling, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Urban Green Space and Health (9 papers), Land Use and Ecosystem Services (9 papers), Avian ecology and behavior (6 papers), Wildlife-Road Interactions and Conservation (5 papers), Wildlife Ecology and Conservation (4 papers), Species Distribution and Climate Change (3 papers), Plant and animal studies (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). The work is most often cited by research in Ecological Modeling (174 citations), Health, Toxicology and Mutagenesis (406 citations), Ecology (595 citations), Global and Planetary Change (389 citations) and Developmental Biology (32 citations). Kate E. Plummer has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include GAVIN M. SIRIWARDENA, Mike P. Toms, Kate Risely, Steven Lee Hancock, Stuart Bearhop, Kevin J. Gaston, Daniel T. C. Cox, Karen B. Anderson, Danielle F. Shanahan and Richard A. Fuller. Their work appears in journals such as Journal of Applied Ecology, Landscape and Urban Planning, Ecology and Evolution, Nature Ecology & Evolution and Global Change Biology.

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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