Amy J.S. Davis

500 total citations
20 papers, 340 citations indexed

About

Amy J.S. Davis is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Ecology. According to data from OpenAlex, Amy J.S. Davis has authored 20 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 8 papers in Ecological Modeling and 7 papers in Ecology. Recurrent topics in Amy J.S. Davis's work include Species Distribution and Climate Change (8 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Fish Ecology and Management Studies (3 papers). Amy J.S. Davis is often cited by papers focused on Species Distribution and Climate Change (8 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Fish Ecology and Management Studies (3 papers). Amy J.S. Davis collaborates with scholars based in United States, Belgium and Germany. Amy J.S. Davis's co-authors include John A. Darling, Ross K. Meentemeyer, Kunwar K. Singh, Bernhard Klausnitzer, Diederik Strubbe, Wei-Lun Tsai, Stephanie Panlasigui, Laura E. Jackson, Jean‐Claude Thill and Tim Adriaens and has published in prestigious journals such as Nature Communications, Ecology and Journal of Animal Ecology.

In The Last Decade

Amy J.S. Davis

18 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy J.S. Davis United States 11 166 154 93 77 54 20 340
Lorna Hernández-Santín Australia 9 194 1.2× 71 0.5× 57 0.6× 65 0.8× 31 0.6× 24 288
Simon Jakobsson Sweden 12 130 0.8× 144 0.9× 137 1.5× 52 0.7× 17 0.3× 20 318
Raúl Abel Vaca Mexico 9 146 0.9× 75 0.5× 137 1.5× 36 0.5× 56 1.0× 13 318
Morelia Camacho‐Cervantes Mexico 11 121 0.7× 115 0.7× 126 1.4× 35 0.5× 32 0.6× 28 350
Kaesha Neil United States 4 101 0.6× 89 0.6× 90 1.0× 68 0.9× 74 1.4× 6 314
Elżbieta Ziółkowska Poland 13 251 1.5× 63 0.4× 161 1.7× 83 1.1× 38 0.7× 24 468
Rocco Labadessa Italy 10 171 1.0× 171 1.1× 156 1.7× 87 1.1× 13 0.2× 27 360
Tania Urquiza‐Haas Mexico 11 210 1.3× 150 1.0× 162 1.7× 78 1.0× 26 0.5× 13 402
Yntze van der Hoek Ecuador 12 261 1.6× 166 1.1× 132 1.4× 114 1.5× 15 0.3× 35 451
Ute Bradter United Kingdom 11 279 1.7× 150 1.0× 95 1.0× 187 2.4× 43 0.8× 19 427

Countries citing papers authored by Amy J.S. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Amy J.S. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy J.S. Davis. 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 Amy J.S. Davis. The network helps show where Amy J.S. Davis may publish in the future.

Co-authorship network of co-authors of Amy J.S. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Amy J.S. Davis. A scholar is included among the top collaborators of Amy J.S. Davis 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 Amy J.S. Davis. Amy J.S. Davis 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.
Davis, Amy J.S., Wayne Dawson, Franz Essl, et al.. (2025). The updated Global Naturalized Alien Flora ( GloNAF 2.0) database. Ecology. 106(11). e70245–e70245.
2.
Davis, Amy J.S., Quentin Groom, Tim Adriaens, et al.. (2024). Reproducible WiSDM: a workflow for reproducible invasive alien species risk maps under climate change scenarios using standardized open data. Frontiers in Ecology and Evolution. 12. 5 indexed citations
3.
Strubbe, Diederik, Laura Jiménez, A. Márcia Barbosa, et al.. (2023). Mechanistic models project bird invasions with accuracy. Nature Communications. 14(1). 2520–2520. 22 indexed citations
4.
Regnante, Jeanne M., et al.. (2022). Abstract PO-084: The pharmaceutical industry in action: 2021 clinical research diversity and inclusion survey. Cancer Epidemiology Biomarkers & Prevention. 31(1_Supplement). PO–84.
5.
Adriaens, Tim, Toon Van Daele, Quentin Groom, et al.. (2020). A pipeline to feed headline indicators on the state of invasions and to prioritize emerging alien species for risk assessment. 1 indexed citations
6.
Peoples, Brandon K., et al.. (2020). Landscape-scale drivers of fish faunal homogenization and differentiation in the eastern United States. Hydrobiologia. 847(18). 3727–3741. 23 indexed citations
7.
Desmet, Peter, Damiano Oldoni, Tim Adriaens, et al.. (2020). A checklist recipe: making species data open and FAIR. Database. 2020. 20 indexed citations
8.
Groom, Quentin, Diederik Strubbe, Tim Adriaens, et al.. (2019). Empowering Citizens to Inform Decision-Making as a Way Forward to Support Invasive Alien Species Policy. Citizen Science Theory and Practice. 4(1). 27 indexed citations
9.
White, Rachel L., Diederik Strubbe, Martin Dallimer, et al.. (2019). Assessing the ecological and societal impacts of alien parrots in Europe using a transparent and inclusive evidence-mapping scheme. NeoBiota. 48. 45–69. 31 indexed citations
10.
Tsai, Wei-Lun, Amy J.S. Davis, & Laura E. Jackson. (2019). Associations between types of greenery along neighborhood roads and weight status in different climates. Urban forestry & urban greening. 41. 104–117. 28 indexed citations
11.
Panlasigui, Stephanie, et al.. (2018). Assessing threats of non-native species to native freshwater biodiversity: Conservation priorities for the United States. Biological Conservation. 224. 199–208. 30 indexed citations
12.
13.
Davis, Amy J.S. & John A. Darling. (2017). Recreational freshwater fishing drives non‐native aquatic species richness patterns at a continental scale. Diversity and Distributions. 23(6). 692–702. 38 indexed citations
14.
Davis, Amy J.S., Jean‐Claude Thill, & Ross K. Meentemeyer. (2017). Multi-temporal trajectories of landscape change explain forest biodiversity in urbanizing ecosystems. Landscape Ecology. 32(9). 1789–1803. 9 indexed citations
15.
Davis, Amy J.S., Kunwar K. Singh, Jean‐Claude Thill, & Ross K. Meentemeyer. (2016). Accounting for residential propagule pressure improves prediction of urban plant invasion. Ecosphere. 7(3). 17 indexed citations
16.
Singh, Kunwar K., Amy J.S. Davis, & Ross K. Meentemeyer. (2015). Detecting understory plant invasion in urban forests using LiDAR. International Journal of Applied Earth Observation and Geoinformation. 38. 267–279. 50 indexed citations
17.
Jamieson, Alan J., et al.. (2014). Aerial surveillance to detect kauri dieback in New Zealand. Proceedings of the New Zealand Weed Control Conference. 67. 60–65. 4 indexed citations
19.
Waipara, Nick, et al.. (2009). Management of kauri dieback. Proceedings of the New Zealand Weed Control Conference. 62. 407–407. 1 indexed citations
20.
Davis, Amy J.S. & Bernhard Klausnitzer. (1994). Okologie der Grosstadtfauna. Journal of Animal Ecology. 63(3). 745–745. 23 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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