Andrew J. Davies

5.8k total citations
106 papers, 3.7k citations indexed

About

Andrew J. Davies is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Andrew J. Davies has authored 106 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Ecology, 48 papers in Oceanography and 41 papers in Global and Planetary Change. Recurrent topics in Andrew J. Davies's work include Coral and Marine Ecosystems Studies (49 papers), Marine Biology and Ecology Research (31 papers) and Marine and coastal plant biology (29 papers). Andrew J. Davies is often cited by papers focused on Coral and Marine Ecosystems Studies (49 papers), Marine Biology and Ecology Research (31 papers) and Marine and coastal plant biology (29 papers). Andrew J. Davies collaborates with scholars based in United Kingdom, United States and Australia. Andrew J. Davies's co-authors include John Guinotte, J. Murray Roberts, Jason M. Hall‐Spencer, Gerard Duineveld, Max Wisshak, James C. Orr, Gareth J. Williams, Christine A. Maggs, Hans van Haren and M.J.N. Bergman and has published in prestigious journals such as Physical Review Letters, Nature Communications and PLoS ONE.

In The Last Decade

Andrew J. Davies

100 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Davies United Kingdom 33 2.4k 1.8k 1.5k 326 293 106 3.7k
Nicole Hill Australia 25 1.7k 0.7× 957 0.5× 980 0.6× 534 1.6× 453 1.5× 73 2.7k
Héctor M. Guzmán Panama 39 4.1k 1.7× 2.4k 1.3× 2.0k 1.3× 573 1.8× 56 0.2× 209 5.3k
J. Frederick Grassle United States 23 1.7k 0.7× 2.2k 1.3× 1.1k 0.7× 319 1.0× 101 0.3× 37 3.1k
Nathalie Niquil France 35 1.9k 0.8× 1.0k 0.6× 1.5k 1.0× 185 0.6× 57 0.2× 100 3.1k
Claude Payri France 43 2.9k 1.2× 3.1k 1.8× 932 0.6× 196 0.6× 64 0.2× 199 5.2k
Matthew J. Oliver United States 28 1.2k 0.5× 1.3k 0.8× 710 0.5× 291 0.9× 105 0.4× 89 2.5k
Ursula Gaedke Germany 37 2.5k 1.0× 2.1k 1.2× 672 0.4× 1.2k 3.6× 212 0.7× 129 4.8k
Karen Helen Wiltshire Germany 35 2.8k 1.2× 3.2k 1.8× 1.1k 0.7× 260 0.8× 56 0.2× 193 5.4k
Mark C. Benfield United States 29 1.3k 0.5× 1.1k 0.6× 1.2k 0.8× 613 1.9× 50 0.2× 71 2.9k
Jean‐Christophe Poggiale France 30 1.0k 0.4× 914 0.5× 870 0.6× 406 1.2× 66 0.2× 96 2.8k

Countries citing papers authored by Andrew J. Davies

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Davies. A scholar is included among the top collaborators of Andrew J. Davies 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 Andrew J. Davies. Andrew J. Davies 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
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Suckling, Coleen C., et al.. (2024). Eastern oyster (Crassostrea virginica) shows physiological tolerance to polyester microfibers at environmental concentrations. Journal of Experimental Marine Biology and Ecology. 578. 152032–152032. 6 indexed citations
3.
Mienis, Furu, et al.. (2024). Gulf Stream intrusion and deep current upwelling drive dynamic patterns of temperature and food supply within cold‐water coral reefs. Limnology and Oceanography. 69(9). 2193–2210. 1 indexed citations
4.
Xavier, Joana R., et al.. (2024). Present and future distribution of the deep-sea habitat-forming sponge - Pheronema carpenteri ( ) in a changing ocean. Deep Sea Research Part I Oceanographic Research Papers. 213. 104390–104390.
5.
Healey, John R., et al.. (2023). Predicting the spatial expansion of an animal population with presence‐only data. Ecology and Evolution. 13(11). e10778–e10778. 1 indexed citations
6.
Lawrence, Peter J., Paul R. Brooks, Sophie Ward, et al.. (2023). Habitat structure shapes temperate reef assemblages across regional environmental gradients. The Science of The Total Environment. 906. 167494–167494. 4 indexed citations
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Curd, Amélia, Mathieu Chevalier, Aurélien Boyé, et al.. (2022). Applying landscape metrics to species distribution model predictions to characterize internal range structure and associated changes. Global Change Biology. 29(3). 631–647. 16 indexed citations
9.
Lawrence, Peter J., A. Evans, Paul R. Brooks, et al.. (2021). Artificial shorelines lack natural structural complexity across scales. Proceedings of the Royal Society B Biological Sciences. 288(1951). 20210329–20210329. 40 indexed citations
10.
Friedland, Kevin D., Andrew J. Davies, Romain Frelat, et al.. (2021). Machine learning highlights the importance of primary and secondary production in determining habitat for marine fish and macroinvertebrates. Aquatic Conservation Marine and Freshwater Ecosystems. 31(6). 1482–1498. 14 indexed citations
11.
Raj, K. Diraviya, Greta S. Aeby, G. Mathews, et al.. (2021). Coral reef resilience differs among islands within the Gulf of Mannar, southeast India, following successive coral bleaching events. Coral Reefs. 40(4). 1029–1044. 17 indexed citations
12.
Hanz, Ulrike, Emyr Martyn Roberts, Gerard Duineveld, et al.. (2021). Long‐term Observations Reveal Environmental Conditions and Food Supply Mechanisms at an Arctic Deep‐Sea Sponge Ground. Journal of Geophysical Research Oceans. 126(3). 19 indexed citations
13.
Demopoulos, Amanda W.J., Furu Mienis, Gerard Duineveld, et al.. (2020). Submarine canyons influence macrofaunal diversity and density patterns in the deep-sea benthos. Deep Sea Research Part I Oceanographic Research Papers. 159. 103249–103249. 15 indexed citations
14.
Ford, Helen, Jamison M. Gove, Andrew J. Davies, et al.. (2020). Spatial scaling properties of coral reef benthic communities. Ecography. 44(2). 188–198. 13 indexed citations
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Suckling, Coleen C., et al.. (2018). Optimising stocking density for the commercial cultivation of sea urchin larvae. Aquaculture. 488. 96–104. 11 indexed citations
17.
Mienis, Furu, Gerard Duineveld, Andrew J. Davies, et al.. (2014). Cold-water coral growth under extreme environmental conditions, the Cape Lookout area, NW Atlantic. Biogeosciences. 11(9). 2543–2560. 44 indexed citations
18.
Suckling, Coleen C., Melody S. Clark, Adam D. Hughes, et al.. (2014). Experimental influence of pH on the early life-stages of sea urchins II: increasing parental exposure times gives rise to different responses. Invertebrate Reproduction & Development. 58(3). 161–175. 50 indexed citations
19.
Mineur, Frédéric, Francisco Arenas, Jorge Assis, et al.. (2014). European seaweeds under pressure: Consequences for communities and ecosystem functioning. Journal of Sea Research. 98. 91–108. 173 indexed citations
20.
Davies, Andrew J. & John Guinotte. (2011). Global Habitat Suitability for Framework-Forming Cold-Water Corals. PLoS ONE. 6(4). e18483–e18483. 288 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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