Jodie Avery

2.6k total citations
63 papers, 1.1k citations indexed

About

Jodie Avery is a scholar working on Reproductive Medicine, Rheumatology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jodie Avery has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Reproductive Medicine, 14 papers in Rheumatology and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jodie Avery's work include Ovarian function and disorders (10 papers), Endometriosis Research and Treatment (9 papers) and Pelvic floor disorders treatments (8 papers). Jodie Avery is often cited by papers focused on Ovarian function and disorders (10 papers), Endometriosis Research and Treatment (9 papers) and Pelvic floor disorders treatments (8 papers). Jodie Avery collaborates with scholars based in Australia, Canada and United Kingdom. Jodie Avery's co-authors include Annette Braunack‐Mayer, Anne Taylor, Nigel Stocks, Eleonora Dal Grande, Michael J. Davies, Alastair H. MacLennan, Vivienne Moore, Ming Lee, Mark Pakianathan and Aseel Hegazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jodie Avery

54 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jodie Avery Australia 18 341 283 158 142 111 63 1.1k
Jennifer Blake Canada 23 138 0.4× 393 1.4× 96 0.6× 172 1.2× 204 1.8× 70 1.7k
Danielle H. Morris United Kingdom 18 325 1.0× 359 1.3× 116 0.7× 168 1.2× 33 0.3× 26 1.4k
Emily M. Mitchell United States 14 121 0.4× 263 0.9× 90 0.6× 60 0.4× 65 0.6× 33 887
Murat Gül Türkiye 17 223 0.7× 191 0.7× 98 0.6× 70 0.5× 48 0.4× 107 974
See Ling Loy Singapore 25 99 0.3× 568 2.0× 83 0.5× 148 1.0× 60 0.5× 113 1.6k
Hyun Joo Kim South Korea 16 152 0.4× 247 0.9× 214 1.4× 104 0.7× 23 0.2× 53 873
Qin Liu China 16 120 0.4× 195 0.7× 126 0.8× 119 0.8× 74 0.7× 41 850
Catherine Lombard Australia 22 483 1.4× 833 2.9× 315 2.0× 132 0.9× 18 0.2× 42 1.9k
Ruth T. Savoy‐Moore United States 19 336 1.0× 190 0.7× 201 1.3× 212 1.5× 26 0.2× 34 1.2k
L. Elaine Waetjen United States 23 241 0.7× 311 1.1× 105 0.7× 406 2.9× 34 0.3× 49 2.3k

Countries citing papers authored by Jodie Avery

Since Specialization
Citations

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

Fields of papers citing papers by Jodie Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jodie Avery

This figure shows the co-authorship network connecting the top 25 collaborators of Jodie Avery. A scholar is included among the top collaborators of Jodie Avery 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 Jodie Avery. Jodie Avery 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.
Wang, H., Jodie Avery, G. Condous, et al.. (2025). Development of a Novel Machine Learning Model for Automatic Assessment of Quality of Transvaginal Ultrasound Images From Multi‐Annotator Labels. Australasian Journal of Ultrasound in Medicine. 28(4). e70026–e70026.
2.
Avery, Jodie, Hou‐Tong Chen, Mathew Leonardi, et al.. (2025). Intra‐ and interobserver agreement of proposed objective transvaginal ultrasound image‐quality scoring system for use in artificial intelligence algorithm development. Ultrasound in Obstetrics and Gynecology. 65(3). 364–371. 1 indexed citations
3.
Wang, Hu, David Butler, Yutong Xie, et al.. (2025). Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis. Computerized Medical Imaging and Graphics. 124. 102575–102575.
4.
Wang, Hu, Jodie Avery, G. Condous, et al.. (2024). Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. 1–5. 1 indexed citations
5.
Avery, Jodie, et al.. (2024). Unveiling silenced narratives: a scoping review on sexual function challenges in migrant and refugee women. Sexual Medicine Reviews. 12(3). 288–298. 2 indexed citations
6.
Butler, David, Jodie Avery, Steven Knox, et al.. (2024). Human–AI collaborative multi-modal multi-rater learning for endometriosis diagnosis. Physics in Medicine and Biology. 70(1). 15008–15008. 5 indexed citations
7.
8.
9.
Avery, Jodie, et al.. (2024). Are sonographers the future ‘gold standard’ in the diagnosis of endometriosis?. Sonography. 11(3). 278–286. 4 indexed citations
10.
Chen, Yuanhong, et al.. (2023). Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 15878–15887. 65 indexed citations
11.
Avery, Jodie, et al.. (2023). Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review. Australasian Journal of Ultrasound in Medicine. 27(1). 5–11. 1 indexed citations
12.
Deslandes, Andréa Camaz, Jodie Avery, G. Condous, et al.. (2023). EP31.15: Artificial Intelligence as a teaching tool for ultrasound in gynecology: a systematic scoping review. Ultrasound in Obstetrics and Gynecology. 62(S1). 300–300. 1 indexed citations
13.
Avery, Jodie, et al.. (2020). Polycystic ovary syndrome support groups and their role in awareness, advocacy and peer support: A systematic search and narrative review. Current Opinion in Endocrine and Metabolic Research. 12. 98–104. 16 indexed citations
14.
Neuhaus, Susan J., et al.. (2019). Does current policy support reproductive health of Australian defence force veterans?: A review of Australian defence force policy. 27(3). 25.
15.
Wright, Kathleen M., Joanne Dono, Odette Pearson, et al.. (2019). Sugar-sweetened beverage (SSB) consumption, correlates and interventions among Australian Aboriginal and Torres Strait Islander communities: a scoping review. BMJ Open. 9(2). e023630–e023630. 11 indexed citations
16.
Avery, Jodie & Nigel Stocks. (2016). Urinary Incontinence, Depression, and Psychosocial Factors – A Review of Population Studies. European Medical Journal. 58–67. 7 indexed citations
17.
Avery, Jodie & Nigel Stocks. (2016). Urinary incontinence, depression and psychological factors - A review of population studies. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1(1). 58–67. 3 indexed citations
18.
Avery, Jodie, Tiffany K. Gill, Anne Taylor, & Nigel Stocks. (2014). Urinary incontinence: severity, perceptions and population prevalence in Australian women. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 20(1). 7–13. 7 indexed citations
19.
Lacey, Sheryl de, Wendy Rogers, Annette Braunack‐Mayer, et al.. (2012). Perceptions of embryo status and embryo use in an Australian community. Reproductive BioMedicine Online. 24(7). 727–744. 10 indexed citations
20.
Taylor, Anne, Alastair H. MacLennan, & Jodie Avery. (2006). Postmenopausal hormone therapy: Who now takes it and do they differ from non‐users?. Australian and New Zealand Journal of Obstetrics and Gynaecology. 46(2). 128–135. 17 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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