Stephen M. Ronayne

1.1k total citations
20 papers, 393 citations indexed

About

Stephen M. Ronayne is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Stephen M. Ronayne has authored 20 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Stephen M. Ronayne's work include Neuroscience and Neural Engineering (16 papers), EEG and Brain-Computer Interfaces (15 papers) and Neural dynamics and brain function (5 papers). Stephen M. Ronayne is often cited by papers focused on Neuroscience and Neural Engineering (16 papers), EEG and Brain-Computer Interfaces (15 papers) and Neural dynamics and brain function (5 papers). Stephen M. Ronayne collaborates with scholars based in Australia, Malaysia and Canada. Stephen M. Ronayne's co-authors include Nicholas L. Opie, Gil S. Rind, Sam E. John, Thomas J. Oxley, Clive N. May, David B. Grayden, Terence J. O’Brien, Yan T. Wong, Timothy John Haynes Lovell and Sébastien H. Bauquier and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Stephen M. Ronayne

20 papers receiving 384 citations

Peers

Stephen M. Ronayne

CMN

NEURO

EEE

Nicholas L. Opie Australia

Hanlin Zhu United States

Evan N. Nicolai United States

Sharon Norman United States

David Millett United States

László Grand Hungary

Simon Borgognon Switzerland

Chin Su Koh South Korea

Peng Cong United States

Nicholas L. Opie Australia

Stephen M. Ronayne

446 ×1.8

CMN

391 ×1.8

150 ×1.3

142 ×1.6

NEURO

181 ×2.1

EEE

Citations per year, relative to Stephen M. Ronayne Stephen M. Ronayne (= 1×) peers Nicholas L. Opie

Countries citing papers authored by Stephen M. Ronayne

Since Specialization

Citations

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

Fields of papers citing papers by Stephen M. Ronayne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Ronayne. 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 Stephen M. Ronayne. The network helps show where Stephen M. Ronayne may publish in the future.

Co-authorship network of co-authors of Stephen M. Ronayne

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

All Works

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20 of 20 papers shown

Rind, Gil S., et al.. (2023). Safe Retrieval of a Stent-Based Endovascular Neural Recording Array. 1–4. 1 indexed citations

Yoo, Peter E., Thomas J. Oxley, Maureen A. Hagan, et al.. (2020). Distinct Neural Correlates Underlie Inhibitory Mechanisms of Motor Inhibition and Motor Imagery Restraint. Frontiers in Behavioral Neuroscience. 14. 77–77. 6 indexed citations

Opie, Nicholas L., Stephen M. Ronayne, Gil S. Rind, Peter E. Yoo, & Thomas J. Oxley. (2020). Mechanical suitability of an endovascular braincomputer interface. 1–6. 5 indexed citations

Rind, Gil S., Stephen M. Ronayne, Yan T. Wong, et al.. (2019). Evaluation of a minimally invasive endovascular neural interface for decoding motor activity. 750–753. 9 indexed citations

Opie, Nicholas L., Sam E. John, Gil S. Rind, et al.. (2019). Neural Stimulation with an Endovascular Brain-Machine Interface. 738–741. 5 indexed citations

Opie, Nicholas L., Sam E. John, Gil S. Rind, et al.. (2018). Focal stimulation of the sheep motor cortex with a chronically implanted minimally invasive electrode array mounted on an endovascular stent. Nature Biomedical Engineering. 2(12). 907–914. 85 indexed citations

Opie, Nicholas L., Sam E. John, Gil S. Rind, et al.. (2018). Effect of Implant Duration, Anatomical Location and Electrode Orientation on Bandwidth Recorded with a Chronically Implanted Endovascular Stent-Electrode Array. PubMed. 2018. 1074–1077. 5 indexed citations

John, Sam E., Nicholas L. Opie, Yan T. Wong, et al.. (2018). Signal quality of simultaneously recorded endovascular, subdural and epidural signals are comparable. Scientific Reports. 8(1). 8427–8427. 41 indexed citations

Redouté, Jean‐Michel, Kumaravelu Ganesan, Gil S. Rind, et al.. (2018). Near-Field Wireless Power Transfer to Stent-Based Biomedical Implants. IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology. 2(3). 193–200. 34 indexed citations

10.

John, Sam E., Gil S. Rind, Stephen M. Ronayne, et al.. (2018). Visual evoked potentials determine chronic signal quality in a stent-electrode endovascular neural interface. Biomedical Physics & Engineering Express. 4(5). 55018–55018. 9 indexed citations

11.

John, Sam E., Nicholas V. Apollo, Nicholas L. Opie, et al.. (2018). <italic>In Vivo</italic> Impedance Characterization of Cortical Recording Electrodes Shows Dependence on Electrode Location and Size. IEEE Transactions on Biomedical Engineering. 66(3). 675–681. 11 indexed citations

12.

John, Sam E., Stephen M. Ronayne, Gil S. Rind, et al.. (2018). Cortical Brain Stimulation with Endovascular Electrodes. PubMed. 2018. 3088–3091. 7 indexed citations

13.

Redouté, Jean‐Michel, Kumaravelu Ganesan, Gil S. Rind, et al.. (2018). A Stent-Based Power and Data Link for Sensing Intravascular Biological Indicators. IEEE Sensors Letters. 2(4). 1–4. 7 indexed citations

14.

John, Sam E., Timothy John Haynes Lovell, Nicholas L. Opie, et al.. (2017). The ovine motor cortex: A review of functional mapping and cytoarchitecture. Neuroscience & Biobehavioral Reviews. 80. 306–315. 23 indexed citations

15.

Oxley, Thomas J., Nicholas L. Opie, Gil S. Rind, et al.. (2017). An ovine model of cerebral catheter venography for implantation of an endovascular neural interface. Journal of neurosurgery. 128(4). 1020–1027. 27 indexed citations

16.

Steward, Christopher, Bradford A. Moffat, Nicholas L. Opie, et al.. (2016). Development and Implementation of a Corriedale Ovine Brain Atlas for Use in Atlas-Based Segmentation. PLoS ONE. 11(6). e0155974–e0155974. 14 indexed citations

17.

Opie, Nicholas L., Sam E. John, Gil S. Rind, et al.. (2016). Chronic impedance spectroscopy of an endovascular stent-electrode array. Journal of Neural Engineering. 13(4). 46020–46020. 43 indexed citations

18.

Opie, Nicholas L., Gil S. Rind, Sam E. John, et al.. (2016). Feasibility of a chronic, minimally invasive endovascular neural interface. PubMed. 2016. 4455–4458. 15 indexed citations

19.

Opie, Nicholas L., Sam E. John, Kirstan A. Vessey, et al.. (2016). Micro-CT and Histological Evaluation of an Neural Interface Implanted Within a Blood Vessel. IEEE Transactions on Biomedical Engineering. 64(4). 928–934. 37 indexed citations

20.

Wong, Yan T., Nicholas L. Opie, Sam E. John, et al.. (2016). Suitability of nitinol electrodes in neural prostheses such as endovascular neural interfaces. PubMed. 2016. 4463–4466. 9 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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