Beth Robinson

2.4k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Beth Robinson is a scholar working on Social Psychology, Ecological Modeling and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Beth Robinson has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Ecological Modeling and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Beth Robinson's work include Animal and Plant Science Education (5 papers), Species Distribution and Climate Change (4 papers) and Urban Green Space and Health (3 papers). Beth Robinson is often cited by papers focused on Animal and Plant Science Education (5 papers), Species Distribution and Climate Change (4 papers) and Urban Green Space and Health (3 papers). Beth Robinson collaborates with scholars based in United Kingdom, Canada and United States. Beth Robinson's co-authors include Richard Inger, Lynda Donaldson, David N. Fisher, Cecily Goodwin, Maria Correa-Cano, Xavier A. Harrison, David J. Hodgson, Julian Evans, Kevin J. Gaston and Jonathan Bennie and has published in prestigious journals such as PLoS ONE, Journal of Applied Ecology and Biological Invasions.

In The Last Decade

Beth Robinson

8 papers receiving 1.6k citations

Hit Papers

A brief introduction to mixed effects modelling and multi... 2018 2026 2020 2023 2018 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beth Robinson United Kingdom 7 566 382 358 309 201 8 1.6k
Cecily Goodwin United Kingdom 12 769 1.4× 373 1.0× 406 1.1× 307 1.0× 179 0.9× 19 1.7k
Maria Correa-Cano United Kingdom 8 592 1.0× 383 1.0× 348 1.0× 432 1.4× 154 0.8× 10 1.8k
Julian Evans United Kingdom 15 746 1.3× 610 1.6× 358 1.0× 313 1.0× 168 0.8× 24 1.9k
Rose E. O’Dea Australia 19 480 0.8× 558 1.5× 382 1.1× 314 1.0× 225 1.1× 30 2.0k
David N. Fisher United Kingdom 18 799 1.4× 897 2.3× 403 1.1× 353 1.1× 184 0.9× 49 2.2k
Tobias Roth Switzerland 24 538 1.0× 449 1.2× 515 1.4× 218 0.7× 390 1.9× 78 2.1k
Luı́s Vicente Portugal 21 485 0.9× 322 0.8× 247 0.7× 437 1.4× 177 0.9× 76 1.6k
Peter Fedor Slovakia 14 389 0.7× 231 0.6× 231 0.6× 204 0.7× 82 0.4× 61 1.5k
Barbara Clucas United States 15 730 1.3× 448 1.2× 224 0.6× 288 0.9× 263 1.3× 23 1.3k
Kate R. Searle United Kingdom 19 615 1.1× 251 0.7× 225 0.6× 334 1.1× 106 0.5× 44 1.5k

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-authorship network of co-authors of Beth Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Beth Robinson. A scholar is included among the top collaborators of Beth Robinson 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 Beth Robinson. Beth Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Harrison, Xavier A., Lynda Donaldson, Maria Correa-Cano, et al.. (2018). A brief introduction to mixed effects modelling and multi-model inference in ecology. PeerJ. 6. e4794–e4794. 1429 indexed citations breakdown →
2.
Davies, Thomas W., Jonathan Bennie, Catherine Leyshon, et al.. (2018). Popular interest in vertebrates does not reflect extinction risk and is associated with bias in conservation investment. PLoS ONE. 13(9). e0203694–e0203694. 68 indexed citations
3.
Robinson, Beth, et al.. (2018). Global Survey Reveals a Lack of Social Marketing Skills in the Conservation Sector and Shows Supply of Training Doesn’t Meet Demand. Social Marketing Quarterly. 25(1). 9–25. 11 indexed citations
4.
Robinson, Beth, Jonathan Bennie, Richard Inger, Regan Early, & Kevin J. Gaston. (2018). Sweet flowers are slow and weeds make haste: anthropogenic dispersal of plants via garden and construction soil. Journal of Urban Ecology. 4(1). 1 indexed citations
5.
Robinson, Beth, Richard Inger, & Kevin J. Gaston. (2017). Drivers of risk perceptions about the invasive non-native plant Japanese knotweed in domestic gardens. Biological Invasions. 19(10). 2927–2940. 9 indexed citations
6.
Robinson, Beth, Richard Inger, Sarah L. Crowley, & Kevin J. Gaston. (2016). Weeds on the web: conflicting management advice about an invasive non‐native plant. Journal of Applied Ecology. 54(1). 178–187. 10 indexed citations
7.
Robinson, Beth, Richard Inger, & Kevin J. Gaston. (2016). A Rose by Any Other Name: Plant Identification Knowledge & Socio-Demographics. PLoS ONE. 11(5). e0156572–e0156572. 34 indexed citations
8.
Barlow, Adam, et al.. (2016). A rapid assessment of the current status of project management skills in the conservation sector. Journal for Nature Conservation. 34. 126–132. 17 indexed citations

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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