Amy J. Halliday

448 total citations
24 papers, 255 citations indexed

About

Amy J. Halliday is a scholar working on Cellular and Molecular Neuroscience, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Amy J. Halliday has authored 24 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Neurology and 8 papers in Psychiatry and Mental health. Recurrent topics in Amy J. Halliday's work include Neuroscience and Neural Engineering (8 papers), Epilepsy research and treatment (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Amy J. Halliday is often cited by papers focused on Neuroscience and Neural Engineering (8 papers), Epilepsy research and treatment (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Amy J. Halliday collaborates with scholars based in Australia, United States and United Kingdom. Amy J. Halliday's co-authors include Mark Cook, Gordon G. Wallace, Karen J. McLean, Simon E. Moulton, Dean R. Freestone, Alan Lai, Sacha B. Nelson, Anthony N. Burkitt, Wendyl D’Souza and Ewan S. Nurse and has published in prestigious journals such as Brain, Neurology and Advanced Drug Delivery Reviews.

In The Last Decade

Amy J. Halliday

21 papers receiving 253 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. Halliday Australia 8 119 98 66 58 47 24 255
Behnaz Esmaeili United States 10 94 0.8× 65 0.7× 37 0.6× 22 0.4× 46 1.0× 21 336
Sharon Jewell United Kingdom 7 100 0.8× 86 0.9× 84 1.3× 73 1.3× 65 1.4× 11 272
Katherine Longardner United States 9 28 0.2× 52 0.5× 25 0.4× 131 2.3× 107 2.3× 19 339
So Hyun Bae South Korea 14 64 0.5× 149 1.5× 6 0.1× 32 0.6× 85 1.8× 38 656
Andrew C. Murphy United States 9 28 0.2× 20 0.2× 36 0.5× 10 0.2× 81 1.7× 15 298
Shin-ichiro Osawa Japan 9 76 0.6× 144 1.5× 90 1.4× 35 0.6× 40 0.9× 15 263
Richard L. Lin United States 6 88 0.7× 23 0.2× 50 0.8× 21 0.4× 117 2.5× 10 350
Bing Zhu China 12 108 0.9× 10 0.1× 31 0.5× 41 0.7× 35 0.7× 30 390
Taegyo Kim United States 7 80 0.7× 92 0.9× 5 0.1× 16 0.3× 45 1.0× 9 210
Ehsan Moradi Iran 11 33 0.3× 17 0.2× 14 0.2× 25 0.4× 29 0.6× 34 281

Countries citing papers authored by Amy J. Halliday

Since Specialization
Citations

This map shows the geographic impact of Amy J. Halliday'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. Halliday 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. Halliday more than expected).

Fields of papers citing papers by Amy J. Halliday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy J. Halliday

This figure shows the co-authorship network connecting the top 25 collaborators of Amy J. Halliday. A scholar is included among the top collaborators of Amy J. Halliday 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. Halliday. Amy J. Halliday 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.
Malpas, Charles B., Patrick Kwan, Martin Hunn, et al.. (2025). Cortical stimulation predicts language decline following SEEG radiofrequency thermocoagulation. Brain. 148(9). 3314–3324.
2.
Malpas, Charles B., Patrick Kwan, Martin Hunn, et al.. (2024). Neuropsychological Outcomes After Stereo-EEG Radiofrequency Thermocoagulation. Neurology. 103(11). e209815–e209815. 3 indexed citations
3.
Seneviratne, Udaya, et al.. (2024). Diagnostic utility of prolonged ambulatory video-electroencephalography monitoring. Epilepsy & Behavior. 153. 109652–109652. 7 indexed citations
4.
5.
Halliday, Amy J., Sara Vogrin, Emma M. Whitham, et al.. (2022). 2360 Real-world brivaracetam efficacy in adult epilepsy: an Australian multi-centre retrospective observational cohort study. Abstracts. A7.2–A7. 1 indexed citations
6.
Halliday, Amy J., et al.. (2022). 2373 Anti-LGI1 associated myopathy in setting of neuromuscular hyperexcitability syndrome. Abstracts. A48.3–A49. 1 indexed citations
7.
Halliday, Amy J., Andrew Duncan, Mike W.‐L. Cheung, et al.. (2022). Second‐line immunotherapy and functional outcomes in autoimmune encephalitis: A systematic review and individual patient data meta‐analysis. Epilepsia. 63(9). 2214–2224. 7 indexed citations
8.
Halliday, Amy J., et al.. (2022). Anti-LGI1–Associated Myopathy in the Setting of Neuromuscular Hyperexcitability Syndrome. JAMA Neurology. 79(12). 1319–1319. 1 indexed citations
9.
Halliday, Amy J., John D. Santamaria, & Wendyl D’Souza. (2021). Pre-hospital benzodiazepines associated with improved outcomes in out-of-hospital status epilepticus: A 10-year retrospective cohort study. Epilepsy Research. 179. 106846–106846. 3 indexed citations
10.
Karoly, Philippa J., Rachel E. Stirling, Dean R. Freestone, et al.. (2021). Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study. EBioMedicine. 72. 103619–103619. 46 indexed citations
11.
Karoly, Philippa J., Rachel E. Stirling, Dean R. Freestone, et al.. (2020). Multiday Cycles of Heart Rate Modulate Seizure Likelihood at Daily, Weekly and Monthly Timescales: An Observational Cohort Study. SSRN Electronic Journal. 3 indexed citations
12.
Bauquier, Sébastien H., Karen J. McLean, Ray Boston, et al.. (2016). Evaluation of the Biocompatibility of Polypyrrole Implanted Subdurally in GAERS. Macromolecular Bioscience. 17(5). 14 indexed citations
13.
Bauquier, Sébastien H., Zhilian Yue, Alan Lai, et al.. (2016). Antiepileptic Effects of Lacosamide Loaded Polymers Implanted Subdurally in GAERS. International Journal of Polymer Science. 2016. 1–10. 4 indexed citations
14.
Halliday, Amy J., Toni E. Campbell, Sacha B. Nelson, et al.. (2012). Levetiracetam-loaded biodegradable polymer implants in the tetanus toxin model of temporal lobe epilepsy in rats. Journal of Clinical Neuroscience. 20(1). 148–152. 11 indexed citations
15.
Halliday, Amy J., Simon E. Moulton, Gordon G. Wallace, & Mark Cook. (2012). Novel methods of antiepileptic drug delivery — Polymer-based implants. Advanced Drug Delivery Reviews. 64(10). 953–964. 47 indexed citations
16.
Nelson, Sacha B., Alan Lai, Amy J. Halliday, et al.. (2011). Exploring the tolerability of spatiotemporally complex electrical stimulation paradigms. Epilepsy Research. 96(3). 267–275. 9 indexed citations
17.
Halliday, Amy J., Toni E. Campbell, Joselito M. Razal, et al.. (2011). In vivo biocompatibility and in vitro characterization of poly‐lactide‐co‐glycolide structures containing levetiracetam, for the treatment of epilepsy. Journal of Biomedical Materials Research Part A. 100A(2). 424–431. 5 indexed citations
18.
Nelson, Sacha B., Alan Lai, Amy J. Halliday, et al.. (2010). Seizure severity and duration in the cortical stimulation model of experimental epilepsy in rats: A longitudinal study. Epilepsy Research. 89(2-3). 261–270. 13 indexed citations
19.
Halliday, Amy J. & Mark Cook. (2009). Polymer-Based Drug Delivery Devices for Neurological Disorders. CNS & Neurological Disorders - Drug Targets. 8(3). 205–221. 21 indexed citations
20.
Freestone, Dean R., David B. Grayden, Alan Lai, et al.. (2009). The thalamocortical circuit and the generation of epileptic spikes in rat models of focal epilepsy. PubMed. 112. 1533–1536. 2 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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