Catherine E. Davey

408 total citations
24 papers, 165 citations indexed

About

Catherine E. Davey is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Catherine E. Davey has authored 24 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cognitive Neuroscience and 3 papers in Surgery. Recurrent topics in Catherine E. Davey's work include Functional Brain Connectivity Studies (5 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (4 papers). Catherine E. Davey is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (4 papers). Catherine E. Davey collaborates with scholars based in Australia, United Kingdom and Canada. Catherine E. Davey's co-authors include Leigh A. Johnston, David B. Grayden, Gary F. Egan, Robert Williams, Tilman Dingler, Benjamin Tag, Jake Rogers, Herbert J. Kronzucker, Steven Mascaro and Christopher C. Rowe and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Catherine E. Davey

20 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine E. Davey Australia 7 94 50 14 13 13 24 165
Ramón Guevara Italy 8 205 2.2× 23 0.5× 27 1.9× 10 0.8× 8 0.6× 16 296
Benjamin Jung United States 6 105 1.1× 58 1.2× 23 1.6× 13 1.0× 23 1.8× 14 200
Sara Assecondi Italy 10 215 2.3× 56 1.1× 16 1.1× 9 0.7× 17 1.3× 23 270
Teon L Brooks United States 5 172 1.8× 23 0.5× 9 0.6× 6 0.5× 7 0.5× 6 196
Tingting Xu China 10 179 1.9× 43 0.9× 21 1.5× 10 0.8× 20 1.5× 20 293
Alba Xifra‐Porxas Canada 7 105 1.1× 41 0.8× 5 0.4× 20 1.5× 13 1.0× 10 142
Anna Gardumi Netherlands 8 195 2.1× 134 2.7× 15 1.1× 16 1.2× 6 0.5× 8 267
Miao Wei China 13 195 2.1× 57 1.1× 10 0.7× 3 0.2× 15 1.2× 25 353
Beibin Li United States 9 91 1.0× 25 0.5× 12 0.9× 9 0.7× 19 1.5× 26 198
Seung-Hyun Jin South Korea 7 242 2.6× 21 0.4× 15 1.1× 11 0.8× 19 1.5× 13 306

Countries citing papers authored by Catherine E. Davey

Since Specialization
Citations

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

Fields of papers citing papers by Catherine E. Davey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine E. Davey. 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 Catherine E. Davey. The network helps show where Catherine E. Davey may publish in the future.

Co-authorship network of co-authors of Catherine E. Davey

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine E. Davey. A scholar is included among the top collaborators of Catherine E. Davey 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 Catherine E. Davey. Catherine E. Davey 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.
Davey, Catherine E., et al.. (2025). A Review of the Intraoperative Use of Artificial Intelligence in Urologic Surgery. SHILAP Revista de lepidopterología. 6(1). 5–5.
2.
Bailey, James, Peter Brotchie, Lynn Chong, et al.. (2024). Using neural networks to autonomously assess adequacy in intraoperative cholangiograms. Surgical Endoscopy. 38(5). 2734–2745.
3.
Davey, Catherine E., et al.. (2024). Empirical Modelling Workflow for Resolution Invariant Assessment of Osteophytes. IEEE Transactions on Biomedical Engineering. 71(12). 3523–3530.
4.
Davey, Catherine E., et al.. (2024). Recovering high quality FODs from reduced number of diffusion weighted images using a model-driven deep learning architecture. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations
5.
Davey, Catherine E., et al.. (2024). Recovering high‐quality fiber orientation distributions from a reduced number of diffusion‐weighted images using a model‐driven deep learning architecture. Magnetic Resonance in Medicine. 92(5). 2193–2206. 1 indexed citations
6.
Williams, Robert, et al.. (2024). Inter‐scanner Aβ‐PET harmonization using barrel phantom spatial resolution matching. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(1). e12561–e12561. 4 indexed citations
7.
Williams, Robert, et al.. (2024). Impact of PET Reconstruction on Amyloid-β Quantitation in Cross-Sectional and Longitudinal Analyses. Journal of Nuclear Medicine. 65(5). 781–787. 4 indexed citations
8.
Cochrane, Thomas, et al.. (2023). Design-Based Research. ASCILITE Publications. 351–356. 3 indexed citations
9.
Davey, Catherine E., et al.. (2023). Image Registration in Longitudinal Bone Assessment Using Computed Tomography. Current Osteoporosis Reports. 21(4). 372–385.
10.
Mackay, James, et al.. (2023). Quantitative morphometric analysis in tibiofemoral joint osteoarthritis imaging: A literature review. 3(1). 100088–100088. 2 indexed citations
11.
Davey, Catherine E., et al.. (2022). SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models. Scientific Reports. 12(1). 1113–1113. 2 indexed citations
13.
Williams, Robert, et al.. (2022). Mapping the association between tau-PET and Aβ-amyloid-PET using deep learning. Scientific Reports. 12(1). 14797–14797. 4 indexed citations
14.
Davey, Catherine E., David B. Grayden, & Leigh A. Johnston. (2021). Correcting for Non-stationarity in BOLD-fMRI Connectivity Analyses. Frontiers in Neuroscience. 15. 574979–574979. 1 indexed citations
15.
Plett, Darren, et al.. (2021). Continuous monitoring of plant sodium transport dynamics using clinical PET. Plant Methods. 17(1). 8–8. 13 indexed citations
16.
Rogers, Jake, et al.. (2021). Place Cells in Head-Fixed Mice Navigating a Floating Real-World Environment. Frontiers in Cellular Neuroscience. 15. 618658–618658. 15 indexed citations
17.
Davey, Catherine E., Anthony D. Shafton, Robin M. McAllen, et al.. (2020). A new algorithm for drift compensation in multi-unit recordings of action potentials in peripheral autonomic nerves over time. Journal of Neuroscience Methods. 338. 108683–108683. 7 indexed citations
18.
Hosking, Simon G., Catherine E. Davey, & Mary K. Kaiser. (2013). Visual cues for manual control of headway. Frontiers in Behavioral Neuroscience. 7. 45–45. 1 indexed citations
19.
Davey, Catherine E., David B. Grayden, Maria Gavrilescu, Gary F. Egan, & Leigh A. Johnston. (2012). The equivalence of linear Gaussian connectivity techniques. Human Brain Mapping. 34(9). 1999–2014. 6 indexed citations
20.
Davey, Catherine E., David B. Grayden, Gary F. Egan, & Leigh A. Johnston. (2012). Filtering induces correlation in fMRI resting state data. NeuroImage. 64. 728–740. 69 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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