Bridget Ayling

1.1k total citations
34 papers, 810 citations indexed

About

Bridget Ayling is a scholar working on Mechanics of Materials, Artificial Intelligence and Geophysics. According to data from OpenAlex, Bridget Ayling has authored 34 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanics of Materials, 11 papers in Artificial Intelligence and 9 papers in Geophysics. Recurrent topics in Bridget Ayling's work include Hydrocarbon exploration and reservoir analysis (10 papers), Geochemistry and Geologic Mapping (9 papers) and Geology and Paleoclimatology Research (8 papers). Bridget Ayling is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (10 papers), Geochemistry and Geologic Mapping (9 papers) and Geology and Paleoclimatology Research (8 papers). Bridget Ayling collaborates with scholars based in United States, Australia and New Zealand. Bridget Ayling's co-authors include Malcolm T. McCulloch, Mary Elliot, Ken I. Welsh, John Chappell, Colin P. Chilcott, Peter Rose, Hamish A. McGowan, John Chappell, Claudine H. Stirling and Morten B. Andersen and has published in prestigious journals such as Nature Communications, Geochimica et Cosmochimica Acta and Earth and Planetary Science Letters.

In The Last Decade

Bridget Ayling

30 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bridget Ayling United States 14 290 232 189 150 136 34 810
Sean T. Brennan United States 13 385 1.3× 133 0.6× 200 1.1× 110 0.7× 253 1.9× 40 1.3k
M.E. Donselaar Netherlands 16 243 0.8× 251 1.1× 130 0.7× 53 0.4× 214 1.6× 45 831
U. Schacht Australia 18 285 1.0× 91 0.4× 324 1.7× 189 1.3× 268 2.0× 36 1.3k
Federica Donda Italy 17 394 1.4× 101 0.4× 185 1.0× 37 0.2× 57 0.4× 53 785
Peter N. Johannessen Denmark 20 421 1.5× 115 0.5× 285 1.5× 30 0.2× 286 2.1× 37 1.1k
Dawn Lavoie United States 12 123 0.4× 107 0.5× 206 1.1× 56 0.4× 155 1.1× 30 679
Anita Erőss Hungary 13 78 0.3× 93 0.4× 170 0.9× 66 0.4× 118 0.9× 34 593
Fadhil Sadooni Qatar 19 163 0.6× 90 0.4× 141 0.7× 89 0.6× 486 3.6× 78 1.1k
P. J. Mickler United States 17 454 1.6× 57 0.2× 102 0.5× 221 1.5× 304 2.2× 25 1.0k
Thomas S. Ahlbrandt United States 14 420 1.4× 84 0.4× 81 0.4× 82 0.5× 212 1.6× 40 912

Countries citing papers authored by Bridget Ayling

Since Specialization
Citations

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

Fields of papers citing papers by Bridget Ayling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bridget Ayling

This figure shows the co-authorship network connecting the top 25 collaborators of Bridget Ayling. A scholar is included among the top collaborators of Bridget Ayling 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 Bridget Ayling. Bridget Ayling 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.
O’Sullivan, John, et al.. (2025). An updated model of Ohaaki geothermal field, New Zealand. Geothermics. 130. 103339–103339.
2.
3.
Ayling, Bridget, et al.. (2023). Infrared spectroscopy as a tool for hydrothermal alteration mineral analysis to support geothermal reservoir characterization at The Geysers, California, USA. Journal of Volcanology and Geothermal Research. 445. 107968–107968.
4.
Faulds, James E., Mark Coolbaugh, Jonathan Glen, et al.. (2023). Exploratory analysis of machine learning techniques in the Nevada geothermal play fairway analysis. Geothermics. 111. 102693–102693. 5 indexed citations
5.
Jolie, Egbert, Samuel Scott, James E. Faulds, et al.. (2021). Geological controls on geothermal resources for power generation. Nature Reviews Earth & Environment. 2(5). 324–339. 161 indexed citations
6.
Tenthorey, Eric & Bridget Ayling. (2020). Geomechanical evaluation of a middle Cambrian unconventional oil and gas play in the southern Georgina Basin, northern Australia. Australian Journal of Earth Sciences. 68(5). 697–716. 4 indexed citations
7.
Faulds, James E., Stephen C. Brown, Mark Coolbaugh, et al.. (2020). Preliminary report on applications of machine learning techniques to the Nevada geothermal play fairway analysis. 229–234. 4 indexed citations
8.
Wannamaker, Philip E., Graham J. Hill, John A. Stodt, et al.. (2017). Uplift of the central transantarctic mountains. Nature Communications. 8(1). 1588–1588. 53 indexed citations
9.
Tenthorey, Eric, et al.. (2017). Characterising the present-day stress regime of the Georgina Basin. Australian Journal of Earth Sciences. 64(1). 121–136. 7 indexed citations
10.
Ayling, Bridget, et al.. (2016). Georgina Basin Geoscience Data Package. 2 indexed citations
11.
12.
Ayling, Bridget, et al.. (2015). Tracer testing at the Habanero EGS site, central Australia. Geothermics. 63. 15–26. 44 indexed citations
13.
Ayling, Bridget, et al.. (2012). USE OF SAFRANIN T AS A REACTIVE TRACER FOR GEOTHERMAL RESERVOIR CHARACTERIZATION. 5 indexed citations
14.
Ayling, Bridget, et al.. (2011). QEMSCAN ® (QUANTITATIVE EVALUATION OF MINERALS BY SCANNING ELECTRON MICROSCOPY): CAPABILITY AND APPLICATION TO FRACTURE CHARACTERIZATION IN GEOTHERMAL SYSTEMS. AGU Fall Meeting Abstracts. 2011. 36 indexed citations
15.
Andersen, Morten B., Claudine H. Stirling, Emma-Kate Potter, et al.. (2010). The timing of sea-level high-stands during Marine Isotope Stages 7.5 and 9: Constraints from the uranium-series dating of fossil corals from Henderson Island. Geochimica et Cosmochimica Acta. 74(12). 3598–3620. 35 indexed citations
16.
Elliot, Mary, Ken I. Welsh, Colin P. Chilcott, et al.. (2009). Profiles of trace elements and stable isotopes derived from giant long-lived Tridacna gigas bivalves: Potential applications in paleoclimate studies. Palaeogeography Palaeoclimatology Palaeoecology. 280(1-2). 132–142. 139 indexed citations
17.
Andersen, Morten B., Claudine H. Stirling, Emma-Kate Potter, et al.. (2007). High-precision U-series measurements of more than 500,000 year old fossil corals. Earth and Planetary Science Letters. 265(1-2). 229–245. 66 indexed citations
18.
Ayling, Bridget, John Chappell, Malcolm T. McCulloch, Michael K. Gagan, & Mary Elliot. (2006). High-resolution paleoclimate of the MIS 11 interglacial (423–360ka) using geochemical proxies in giant Tridacna clams. Geochimica et Cosmochimica Acta. 70(18). A26–A26. 3 indexed citations
19.
Ayling, Bridget & Hamish A. McGowan. (2006). Niveo-eolian Sediment Deposits in Coastal South Victoria Land, Antarctica: Indicators of Regional Variability in Weather and Climate. Arctic Antarctic and Alpine Research. 38(3). 313–324. 42 indexed citations
20.
Ayling, Bridget, Malcolm T. McCulloch, Michael K. Gagan, et al.. (2006). Sr/Ca and δ18O seasonality in a Porites coral from the MIS 9 (339–303 ka) interglacial. Earth and Planetary Science Letters. 248(1-2). 462–475. 24 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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