Beth Robinson

8 papers receiving 1.6k citations

Beth Robinson's Hit Papers

A brief introduction to mixed effects modelling and multi-model inference in ecology 2018 · 1.5k citations
1.5k0+2+5Years since publication4008001.2k

Peers

Beth Robinson
Comparison fields: 5 of 158
  • Ecological Modeling 199
  • Developmental Biology 66
  • Nature and Landscape Conservation 359
  • Ecology 574
  • Ecology, Evolution, Behavior and Systematics 387
Replace Cecily Goodwin with:
Cecily Goodwin United Kingdom
Maria Correa-Cano United Kingdom
David N. Fisher United Kingdom
Julian Evans United Kingdom
Rebecca Laws New Zealand
Eduardo S. A. Santos Brazil
Marta Szulkin Poland
Thomas D. Lambert United States
Katherine McHugh United States
Rose E. O’Dea Australia
Beth Robinson relative to Cecily Goodwin United Kingdom Cecily Goodwin's profile →
Citations per field
00.5×1.5×2.3×
Cecily Goodwin · 1×
Citations per year

Countries citing papers authored by Beth Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Beth Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Beth Robinson, 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 Beth Robinson Line = papers co-authored together Beth Robinson links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
A brief introduction to mixed effects modelling and multi-model inference in ecology
Hit paper breakdown →
20181479
2 201870
3 201634
4 201617
5 201811
6 201611
7 20179
8 20181

About Beth Robinson

Beth Robinson is a scholar working on Social Psychology, Ecological Modeling, Health, Toxicology and Mutagenesis, Nature and Landscape Conservation and Management, Monitoring, Policy and Law, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal and Plant Science Education (5 papers), Species Distribution and Climate Change (4 papers), Urban Green Space and Health (3 papers), Ecology and Vegetation Dynamics Studies (2 papers), Conservation, Ecology, Wildlife Education (1 paper), Forest Management and Policy (1 paper), Insect Utilization and Effects (1 paper) and Wildlife Ecology and Conservation (1 paper). The work is most often cited by research in Ecological Modeling (199 citations), Developmental Biology (66 citations), Nature and Landscape Conservation (359 citations), Ecology (574 citations) and Ecology, Evolution, Behavior and Systematics (387 citations). Beth Robinson has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Richard Inger, David J. Hodgson, Julian Evans, Lynda Donaldson, Cecily Goodwin, Xavier A. Harrison, Maria Correa-Cano, David N. Fisher, Kevin J. Gaston and Jonathan Bennie. Their work appears in journals such as PLoS ONE, Biological Invasions, Journal of Urban Ecology, Journal for Nature Conservation and PeerJ.

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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