Patrick H. Luckett

605 total citations
29 papers, 285 citations indexed

About

Patrick H. Luckett is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Patrick H. Luckett has authored 29 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Psychiatry and Mental health. Recurrent topics in Patrick H. Luckett's work include Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Patrick H. Luckett is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Patrick H. Luckett collaborates with scholars based in United States, Germany and Japan. Patrick H. Luckett's co-authors include Beau M. Ances, J. Todd McDonald, Joshua S. Shimony, Eric C. Leuthardt, Joel Dawson, John J. Lee, William Bradley Glisson, Anna H. Boerwinkle, Abraham Z. Snyder and Julie K. Wisch and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and Epilepsia.

In The Last Decade

Patrick H. Luckett

28 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick H. Luckett United States 11 86 73 48 40 39 29 285
Rudaina Banihani Canada 8 32 0.4× 163 2.2× 51 1.1× 54 1.4× 34 0.9× 35 526
Anas Z. Abidin United States 10 192 2.2× 226 3.1× 6 0.1× 91 2.3× 7 0.2× 36 437
Adora M. DSouza United States 10 189 2.2× 214 2.9× 6 0.1× 88 2.2× 6 0.2× 31 411
Samaneh Kazemifar United States 8 26 0.3× 232 3.2× 15 0.3× 67 1.7× 9 0.2× 9 374
D. Rodríguez United Kingdom 11 109 1.3× 157 2.2× 28 0.6× 73 1.8× 5 0.1× 23 367
Yeşim Eroğlu Türkiye 9 17 0.2× 131 1.8× 13 0.3× 126 3.1× 7 0.2× 23 343
Shadab Khan United States 11 23 0.3× 152 2.1× 28 0.6× 60 1.5× 2 0.1× 24 489
Patrizia Vizza Italy 12 51 0.6× 67 0.9× 6 0.1× 67 1.7× 3 0.1× 67 396

Countries citing papers authored by Patrick H. Luckett

Since Specialization
Citations

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

Fields of papers citing papers by Patrick H. Luckett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick H. Luckett. 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 Patrick H. Luckett. The network helps show where Patrick H. Luckett may publish in the future.

Co-authorship network of co-authors of Patrick H. Luckett

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick H. Luckett. A scholar is included among the top collaborators of Patrick H. Luckett 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 Patrick H. Luckett. Patrick H. Luckett 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.
Luckett, Patrick H., Bidhan Lamichhane, Donna Dierker, et al.. (2024). Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning. Journal of Neuro-Oncology. 169(1). 175–185. 3 indexed citations
2.
Luckett, Patrick H., Bidhan Lamichhane, Donna Dierker, et al.. (2023). Predicting survival in glioblastoma with multimodal neuroimaging and machine learning. Journal of Neuro-Oncology. 164(2). 309–320. 21 indexed citations
3.
Millar, Peter R, Brian A. Gordon, Patrick H. Luckett, et al.. (2023). Multimodal brain age estimates relate to Alzheimer disease biomarkers and cognition in early stages: a cross-sectional observational study. eLife. 12. 31 indexed citations
4.
Luckett, Patrick H., John J. Lee, Ryan V. Raut, et al.. (2023). Resting state network mapping in individuals using deep learning. Frontiers in Neurology. 13. 1055437–1055437. 6 indexed citations
5.
Luckett, Patrick H., John J. Lee, Eric J. Lenze, et al.. (2023). Data-efficient resting-state functional magnetic resonance imaging brain mapping with deep learning. Journal of neurosurgery. 139(5). 1258–1269. 10 indexed citations
6.
Shimony, Joshua S., Satrajit Chakrabarty, Aaron Tanenbaum, et al.. (2023). Optimal approaches to analyzing functional MRI data in glioma patients. Journal of Neuroscience Methods. 402. 110011–110011. 3 indexed citations
7.
Wisch, Julie K., Brian A. Gordon, Anna H. Boerwinkle, et al.. (2023). Predicting continuous amyloid PET values with CSF and plasma Aβ42/Aβ40. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(1). e12405–e12405. 14 indexed citations
8.
Snyder, Abraham Z., Patrick H. Luckett, Bidhan Lamichhane, et al.. (2023). Glioblastoma induces whole-brain spectral change in resting state fMRI: Associations with clinical comorbidities and overall survival. NeuroImage Clinical. 39. 103476–103476. 11 indexed citations
9.
Lamichhane, Bidhan, Patrick H. Luckett, Donna Dierker, et al.. (2023). Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival. Neuro-Oncology Advances. 5(1). vdad034–vdad034. 4 indexed citations
10.
Paul, Robert, Adam W. Carrico, Eileen Martin, et al.. (2022). Cognitive Phenotypes of HIV Defined Using a Novel Data-driven Approach. Journal of Neuroimmune Pharmacology. 17(3-4). 515–525. 6 indexed citations
11.
Butt, Omar H., Alice Y. Zhou, Paolo F. Caimi, et al.. (2022). Assessment of Pretreatment and Posttreatment Evolution of Neurofilament Light Chain Levels in Patients Who Develop Immune Effector Cell–Associated Neurotoxicity Syndrome. JAMA Oncology. 8(11). 1652–1652. 17 indexed citations
12.
Langley, Raymond J., Marie E. Migaud, Lori Flores, et al.. (2021). A metabolomic endotype of bioenergetic dysfunction predicts mortality in critically ill patients with acute respiratory failure. Scientific Reports. 11(1). 10515–10515. 9 indexed citations
13.
Boerwinkle, Anna H., et al.. (2021). Neuroimaging the Neuropathogenesis of HIV. Current HIV/AIDS Reports. 18(3). 221–228. 16 indexed citations
14.
Ances, Beau M., Brian A. Gordon, Cort W. Rudolph, et al.. (2020). Cerebrospinal fluid Aβ42 moderates the relationship between brain functional network dynamics and cognitive intraindividual variability. Neurobiology of Aging. 98. 116–123. 12 indexed citations
15.
Luckett, Patrick H., John J. Lee, Donna Dierker, et al.. (2020). Mapping of the Language Network With Deep Learning. Frontiers in Neurology. 11. 819–819. 9 indexed citations
16.
Lee, John J., Patrick H. Luckett, Mohammad Fakhri, Eric C. Leuthardt, & Joshua S. Shimony. (2020). Resting State Functional MR Imaging of Language Function. Neuroimaging Clinics of North America. 31(1). 69–79. 4 indexed citations
17.
Luckett, Patrick H., Robert Paul, Sarah Cooley, et al.. (2019). Deep Learning Analysis of Cerebral Blood Flow to Identify Cognitive Impairment and Frailty in Persons Living With HIV. JAIDS Journal of Acquired Immune Deficiency Syndromes. 82(5). 496–502. 8 indexed citations
18.
Luckett, Patrick H., et al.. (2018). Predicting state transitions in brain dynamics through spectral difference of phase-space graphs. Journal of Computational Neuroscience. 46(1). 91–106. 8 indexed citations
19.
Luckett, Patrick H., et al.. (2017). Dissimilarity of Graph Invariant Features from EEG Phase-space Analysis. 6(3). 2 indexed citations
20.
Luckett, Patrick H., J. Todd McDonald, & Joel Dawson. (2016). Neural Network Analysis of System Call Timing for Rootkit Detection. 1–6. 13 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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