Greydon Gilmore

438 total citations
32 papers, 296 citations indexed

About

Greydon Gilmore is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Greydon Gilmore has authored 32 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 8 papers in Cognitive Neuroscience and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Greydon Gilmore's work include Neurological disorders and treatments (19 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Neuroscience and Neural Engineering (7 papers). Greydon Gilmore is often cited by papers focused on Neurological disorders and treatments (19 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Neuroscience and Neural Engineering (7 papers). Greydon Gilmore collaborates with scholars based in Canada, Iran and United States. Greydon Gilmore's co-authors include Mandar Jog, Mehdi Delrobaei, Scott Adams, Kenneth McIsaac, Ali R. Khan, Jonathan C. Lau, Andrew G. Parrent, Yiming Xiao, S. Farokh Atashzar and Rajni V. Patel and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Greydon Gilmore

26 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greydon Gilmore Canada 11 200 75 74 73 37 32 296
Franziska Albrecht Sweden 13 185 0.9× 97 1.3× 34 0.5× 47 0.6× 58 1.6× 26 327
Nasim Vafai Canada 10 209 1.0× 45 0.6× 84 1.1× 72 1.0× 67 1.8× 19 364
Ilana Erikh Israel 8 337 1.7× 131 1.7× 51 0.7× 83 1.1× 47 1.3× 10 469
Vibhash D. Sharma United States 11 248 1.2× 54 0.7× 96 1.3× 34 0.5× 14 0.4× 33 370
Gonzalo J. Revuelta United States 12 227 1.1× 67 0.9× 97 1.3× 35 0.5× 27 0.7× 33 369
Valeria Dibilio Italy 13 260 1.3× 84 1.1× 71 1.0× 20 0.3× 11 0.3× 34 410
Han Byul Kim South Korea 7 161 0.8× 54 0.7× 30 0.4× 109 1.5× 13 0.4× 8 329
Filomena Abate Italy 11 186 0.9× 27 0.4× 72 1.0× 41 0.6× 37 1.0× 30 265
Rachel C. Cole United States 7 101 0.5× 152 2.0× 39 0.5× 26 0.4× 12 0.3× 17 273
Kateřina Zárubová Czechia 8 145 0.7× 36 0.5× 44 0.6× 31 0.4× 16 0.4× 9 222

Countries citing papers authored by Greydon Gilmore

Since Specialization
Citations

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

Fields of papers citing papers by Greydon Gilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greydon Gilmore

This figure shows the co-authorship network connecting the top 25 collaborators of Greydon Gilmore. A scholar is included among the top collaborators of Greydon Gilmore 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 Greydon Gilmore. Greydon Gilmore 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.
Nouri, Maryam Nabavi, Jonathan C. Lau, Greydon Gilmore, et al.. (2025). Radiofrequency-thermocoagulation in pediatric epilepsy surgery: A systematic review and pooled analysis of cases. Seizure. 126. 6–13. 2 indexed citations
2.
Gilmore, Greydon, et al.. (2024). MRI-degad: toward accurate conversion of gadolinium-enhanced T1w MRIs to non-contrast-enhanced scans using CNNs. International Journal of Computer Assisted Radiology and Surgery. 19(7). 1469–1472.
3.
4.
Xiao, Yiming, et al.. (2023). A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects. Data in Brief. 50. 109513–109513. 3 indexed citations
5.
Gilmore, Greydon, Seyed M. Mirsattari, Jorge G. Burneo, et al.. (2022). Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load. eLife. 11. 4 indexed citations
6.
Gilmore, Greydon, et al.. (2022). An Indirect Deep Brain Stimulation Targeting Tool Using Salient Anatomical Fiducials. Neuromodulation Technology at the Neural Interface. 25(8). S6–S7. 1 indexed citations
7.
Gilmore, Greydon, et al.. (2021). Adapting the listening time for micro-electrode recordings in deep brain stimulation interventions. International Journal of Computer Assisted Radiology and Surgery. 16(8). 1371–1379. 4 indexed citations
8.
Kulshreshtha, Dinkar, et al.. (2021). Optimizing the selection of Parkinson’s disease patients for neuromodulation using the levodopa challenge test. Journal of Neurology. 269(2). 846–852.
9.
Gilmore, Greydon, et al.. (2021). Application of the anatomical fiducials framework to a clinical dataset of patients with Parkinson’s disease. Brain Structure and Function. 227(1). 393–405.
10.
Lau, Jonathan C., Yiming Xiao, Roy A.M. Haast, et al.. (2020). Direct visualization and characterization of the human zona incerta and surrounding structures. Human Brain Mapping. 41(16). 4500–4517. 17 indexed citations
11.
Gilmore, Greydon, et al.. (2020). Assessing the effect of current steering on the total electrical energy delivered and ambulation in Parkinson’s disease. Scientific Reports. 10(1). 8256–8256. 10 indexed citations
12.
Atashzar, S. Farokh, et al.. (2020). Intraoperative Localization of STN During DBS Surgery Using a Data-Driven Model. IEEE Journal of Translational Engineering in Health and Medicine. 8. 1–9. 25 indexed citations
13.
Gilmore, Greydon, et al.. (2019). Forward and backward walking in Parkinson disease: A factor analysis. Gait & Posture. 74. 14–19. 13 indexed citations
14.
Adams, Scott, et al.. (2019). Effects of Deep Brain Stimulation of the Subthalamic Nucleus Settings on Voice Quality, Intensity, and Prosody in Parkinson’s Disease: Preliminary Evidence for Speech Optimization. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 46(3). 287–294. 10 indexed citations
15.
Gilmore, Greydon, et al.. (2019). Zona incerta deep-brain stimulation in orthostatic tremor: efficacy and mechanism of improvement. Journal of Neurology. 266(11). 2829–2837. 13 indexed citations
16.
Adams, Scott, et al.. (2018). Voice quality severity and responsiveness to levodopa in Parkinson’s disease. Journal of Communication Disorders. 76. 1–10. 23 indexed citations
17.
Gilmore, Greydon, et al.. (2018). Medication status and dual-tasking on turning strategies in Parkinson disease. Journal of the Neurological Sciences. 396. 206–212. 6 indexed citations
18.
19.
Memar, Sara, Mehdi Delrobaei, Greydon Gilmore, Kenneth McIsaac, & Mandar Jog. (2017). Segmentation and detection of physical activities during a sitting task in Parkinson's disease participants using multiple inertial sensors. Journal of Applied Biomedicine. 15(4). 282–290. 4 indexed citations
20.
Delrobaei, Mehdi, Stephanie Tran, Greydon Gilmore, Kenneth McIsaac, & Mandar Jog. (2016). Characterization of multi-joint upper limb movements in a single task to assess bradykinesia. Journal of the Neurological Sciences. 368. 337–342. 24 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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