Laura J. Pollock

4.4k total citations · 1 hit paper
54 papers, 2.1k citations indexed

About

Laura J. Pollock is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Laura J. Pollock has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecological Modeling, 33 papers in Nature and Landscape Conservation and 20 papers in Ecology. Recurrent topics in Laura J. Pollock's work include Species Distribution and Climate Change (41 papers), Ecology and Vegetation Dynamics Studies (32 papers) and Plant and animal studies (18 papers). Laura J. Pollock is often cited by papers focused on Species Distribution and Climate Change (41 papers), Ecology and Vegetation Dynamics Studies (32 papers) and Plant and animal studies (18 papers). Laura J. Pollock collaborates with scholars based in Canada, France and Australia. Laura J. Pollock's co-authors include Wilfried Thuiller, Peter A. Vesk, William K. Morris, Walter Jetz, Michael A. McCarthy, Robert B. O’Hara, Nick Golding, Kirsten M. Parris, Reid Tingley and Dan F. Rosauer and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Laura J. Pollock

51 papers receiving 2.1k citations

Hit Papers

Understanding co‐occurrence by modelling species simultan... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Laura J. Pollock
Sam Veloz United States
Rafael O. Wüest Switzerland
Malcolm D. Burgess United Kingdom
Tony Rebelo South Africa
Michael P. Nobis Switzerland
Glenn Manion Australia
Laura J. Pollock
Citations per year, relative to Laura J. Pollock Laura J. Pollock (= 1×) peers Naia Morueta‐Holme

Countries citing papers authored by Laura J. Pollock

Since Specialization
Citations

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

Fields of papers citing papers by Laura J. Pollock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura J. Pollock. 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 Laura J. Pollock. The network helps show where Laura J. Pollock may publish in the future.

Co-authorship network of co-authors of Laura J. Pollock

This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Pollock. A scholar is included among the top collaborators of Laura J. Pollock 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 Laura J. Pollock. Laura J. Pollock 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
1.
Sharma, Shubhi, Kevin Winner, Laura J. Pollock, et al.. (2025). No species left behind: borrowing strength to map data-deficient species. Trends in Ecology & Evolution. 40(7). 699–711.
2.
Ficetola, Gentile Francesco, Núria Galiana, Dominique Gravel, et al.. (2025). Overcoming the disconnect between species interaction networks and biodiversity conservation. Trends in Ecology & Evolution. 40(9). 840–851. 1 indexed citations
3.
Pollock, Laura J., Justin Kitzes, Sara Beery, et al.. (2025). Harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge. Edinburgh Research Explorer. 1(3). 166–182. 9 indexed citations
4.
Baker, Janelle, et al.. (2025). Bridging biodiversity and ecosystem services through useful plant species. Plants People Planet. 7(5). 1498–1509. 1 indexed citations
5.
Bruneau, Anne, et al.. (2024). Herbarium collections remain essential in the age of community science. Nature Communications. 15(1). 7586–7586. 20 indexed citations
6.
Brose, Ulrich, et al.. (2024). Trait‐matching models predict pairwise interactions across regions, not food web properties. Global Ecology and Biogeography. 33(4). 5 indexed citations
7.
Gallien, Laure, Laura J. Pollock, Irena Axmanová, et al.. (2024). Plant invasion in Mediterranean Europe: current hotspots and future scenarios. Ecography. 2024(5). 13 indexed citations
8.
Baillie, Jonathan, et al.. (2024). Advancing EDGE Zones to identify spatial conservation priorities of tetrapod evolutionary history. Nature Communications. 15(1). 7672–7672. 3 indexed citations
9.
Berti, Emilio, Ulrich Brose, Myriam R. Hirt, et al.. (2024). Linking biodiversity, ecosystem function, and Nature’s contributions to people: a macroecological energy flux perspective. Trends in Ecology & Evolution. 39(5). 427–434. 16 indexed citations
10.
Strydom, Tanya, Ceres Barros, Maxwell J. Farrell, et al.. (2023). Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations. Methods in Ecology and Evolution. 14(12). 2917–2930. 10 indexed citations
11.
Gumbs, Rikki, Abhishek Chaudhary, Barnabas H. Daru, et al.. (2023). Indicators to monitor the status of the tree of life. Conservation Biology. 37(6). e14138–e14138. 9 indexed citations
12.
Härtig, Florian, Nerea Abrego, Alex Bush, et al.. (2023). Novel community data in ecology-properties and prospects. Trends in Ecology & Evolution. 39(3). 280–293. 38 indexed citations
13.
Gumbs, Rikki, Claudia L. Gray, Michael Hoffmann, et al.. (2023). Conserving avian evolutionary history can effectively safeguard future benefits for people. Science Advances. 9(38). eadh4686–eadh4686. 9 indexed citations
14.
Roche, Dominique G., Sandra A. Binning, Kerri Finlay, et al.. (2022). Data rescue: saving environmental data from extinction. Proceedings of the Royal Society B Biological Sciences. 289(1979). 20220938–20220938. 11 indexed citations
15.
Strydom, Tanya, Ceres Barros, Maxwell J. Farrell, et al.. (2022). Food web reconstruction through phylogenetic transfer of low‐rank network representation. Methods in Ecology and Evolution. 13(12). 2838–2849. 21 indexed citations
16.
Strydom, Tanya, Philippe Desjardins-Proulx, Andrew Gonzalez, et al.. (2021). A roadmap towards predicting species interaction networks (across space and time). Philosophical Transactions of the Royal Society B Biological Sciences. 376(1837). 20210063–20210063. 53 indexed citations
17.
Talluto, Lauren, Karel Mokany, Laura J. Pollock, & Wilfried Thuiller. (2018). Multifaceted biodiversity modelling at macroecological scales using Gaussian processes. Diversity and Distributions. 24(10). 1492–1502. 10 indexed citations
18.
Carboni, Marta, Irene Calderón‐Sanou, Laura J. Pollock, Cyrille Violle, & Wilfried Thuiller. (2018). Functional traits modulate the response of alien plants along abiotic and biotic gradients. Global Ecology and Biogeography. 27(10). 1173–1185. 38 indexed citations
19.
Rosauer, Dan F., Laura J. Pollock, Simon Linke, & Walter Jetz. (2017). Supplementary material from "Phylogenetically informed spatial planning is required to conserve the mammalian tree of life". Figshare. 1 indexed citations
20.
McCarthy, Michael A. & Laura J. Pollock. (2016). Conserving phylogenetic diversity, with reference to Victorian eucalypts. Proceedings of the Royal Society of Victoria. 128(1). 7–11. 2 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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