Narelle Grayson

491 total citations
11 papers, 239 citations indexed

About

Narelle Grayson is a scholar working on Artificial Intelligence, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Narelle Grayson has authored 11 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Narelle Grayson's work include Biomedical Text Mining and Ontologies (3 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare (2 papers). Narelle Grayson is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare (2 papers). Narelle Grayson collaborates with scholars based in Australia. Narelle Grayson's co-authors include Anthony Nguyen, Guido Zuccon, Elizabeth Sullivan, Bevan Koopman, Marian Shanahan, Michael Chapman, Georgina Chambers, Jenny Hargreaves, Lisa Jackson Pulver and Simon Graham and has published in prestigious journals such as Human Reproduction, The Medical Journal of Australia and International Journal of Medical Informatics.

In The Last Decade

Narelle Grayson

11 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Narelle Grayson Australia	7	100	79	72	40	38	11	239
P Carpenter United Kingdom	5	50 0.5×	126 1.6×	136 1.9×	7 0.2×	79 2.1×	7	301
Binyam Bogale Norway	6	46 0.5×	14 0.2×	163 2.3×	9 0.2×	26 0.7×	11	335
Tianchen Lyu United States	8	89 0.9×	32 0.4×	6 0.1×	5 0.1×	49 1.3×	22	252
Deevakar Rogith United States	8	41 0.4×	26 0.3×	11 0.2×	3 0.1×	33 0.9×	21	218
Judith Wagner United States	7	48 0.5×	48 0.6×	39 0.5×		16 0.4×	14	162
Anita Walden United States	9	66 0.7×	59 0.7×	17 0.2×		77 2.0×	21	265
Cláudia Maria Cabral Moro Brazil	8	144 1.4×	80 1.0×	5 0.1×	3 0.1×	34 0.9×	61	299
Kerrie Stevenson United Kingdom	8	15 0.1×	14 0.2×	50 0.7×	10 0.3×	2 0.1×	18	265
Juan Luis Cruz-Bermúdez Spain	9	41 0.4×	35 0.4×	28 0.4×	1 0.0×	21 0.6×	21	174
Michael Giuliano United States	4	30 0.3×	14 0.2×	28 0.4×		28 0.7×	6	241

Countries citing papers authored by Narelle Grayson

Since Specialization

Citations

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

Fields of papers citing papers by Narelle Grayson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narelle Grayson

This figure shows the co-authorship network connecting the top 25 collaborators of Narelle Grayson. A scholar is included among the top collaborators of Narelle Grayson 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 Narelle Grayson. Narelle Grayson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Koopman, Bevan, et al.. (2018). Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers. Artificial Intelligence in Medicine. 89. 1–9. 17 indexed citations

Koopman, Bevan, et al.. (2015). Automatic ICD-10 classification of cancers from free-text death certificates. International Journal of Medical Informatics. 84(11). 956–965. 89 indexed citations

Zuccon, Guido, et al.. (2013). Automatic de-identification of electronic health records : an Australian perspective. QUT ePrints (Queensland University of Technology). 3 indexed citations

Zuccon, Guido, et al.. (2013). CLASSIFICATION OF CANCER-RELATED DEATH CERTIFICATES USING MACHINE LEARNING. Australasian Medical Journal. 6(5). 2 indexed citations

Zuccon, Guido, et al.. (2012). Cancer reporting from OCR free-text pathology reports [Conference Abstract]. Asia-Pacific Journal of Clinical Oncology. 1 indexed citations

Zuccon, Guido, et al.. (2012). The impact of OCR accuracy on automated cancer classification of pathology reports. Studies in health technology and informatics. 178. 250–6. 11 indexed citations

Zuccon, Guido, et al.. (2012). Automatic classification of cancer notifiable death certificates. QUT ePrints (Queensland University of Technology). 2 indexed citations

Chambers, Georgina, Michael Chapman, Narelle Grayson, Marian Shanahan, & Elizabeth Sullivan. (2007). Babies born after ART treatment cost more than non-ART babies: a cost analysis of inpatient birth-admission costs of singleton and multiple gestation pregnancies. Human Reproduction. 22(12). 3108–3115. 48 indexed citations

Graham, Simon, Lisa Jackson Pulver, Alex Wang, et al.. (2007). The urban–remote divide for Indigenous perinatal outcomes. The Medical Journal of Australia. 186(10). 509–512. 36 indexed citations

10.

Grayson, Narelle, Jenny Hargreaves, & Elizabeth Sullivan. (2005). Use of routinely collected national data sets for reporting on induced abortion in Australia. 23 indexed citations

11.

Hargraves, J. Lee, et al.. (2002). Trends in hospital service provision. Australian Health Review. 25(5). 2–18. 7 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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