Sean L. Simpson

2.4k total citations
77 papers, 1.7k citations indexed

About

Sean L. Simpson is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sean L. Simpson has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 23 papers in Experimental and Cognitive Psychology and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sean L. Simpson's work include Functional Brain Connectivity Studies (37 papers), Mental Health Research Topics (20 papers) and Neural dynamics and brain function (16 papers). Sean L. Simpson is often cited by papers focused on Functional Brain Connectivity Studies (37 papers), Mental Health Research Topics (20 papers) and Neural dynamics and brain function (16 papers). Sean L. Simpson collaborates with scholars based in United States, Australia and Canada. Sean L. Simpson's co-authors include Paul J. Laurienti, David Raubenheimer, Satoru Hayasaka, Jonathan H. Burdette, Qawi K. Telesford, Robert G. Lyday, Lloyd J. Edwards, Keith E. Muller, Dale Dagenbach and Fatemeh Mokhtari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Sean L. Simpson

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean L. Simpson United States 20 729 254 235 168 165 77 1.7k
Xuejun Hao United States 32 1.1k 1.5× 405 1.6× 263 1.1× 52 0.3× 226 1.4× 67 3.0k
Jack W. Kent United States 31 339 0.5× 202 0.8× 121 0.5× 30 0.2× 108 0.7× 97 2.6k
John A. E. Anderson Canada 25 1.4k 2.0× 256 1.0× 276 1.2× 87 0.5× 111 0.7× 65 2.2k
Robert L. James United States 30 169 0.2× 91 0.4× 126 0.5× 61 0.4× 338 2.0× 133 3.2k
M. Moser Austria 30 283 0.4× 123 0.5× 232 1.0× 72 0.4× 275 1.7× 182 3.2k
P. van Leeuwen Germany 33 444 0.6× 327 1.3× 54 0.2× 36 0.2× 308 1.9× 177 4.0k
Catherine Murray United Kingdom 31 997 1.4× 873 3.4× 298 1.3× 27 0.2× 25 0.2× 62 3.6k
Yougui Wu United States 25 453 0.6× 140 0.6× 297 1.3× 10 0.1× 142 0.9× 68 2.7k
Laura R. Marusich United States 12 350 0.5× 78 0.3× 199 0.8× 13 0.1× 17 0.1× 32 1.7k
Georgina Powell United Kingdom 24 759 1.0× 23 0.1× 455 1.9× 40 0.2× 77 0.5× 96 2.4k

Countries citing papers authored by Sean L. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Sean L. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean L. Simpson. 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 Sean L. Simpson. The network helps show where Sean L. Simpson may publish in the future.

Co-authorship network of co-authors of Sean L. Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Sean L. Simpson. A scholar is included among the top collaborators of Sean L. Simpson 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 Sean L. Simpson. Sean L. Simpson 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.
Simpson, Sean L., et al.. (2023). Desire and craving measured using behavioral ratings and brain network topology differ significantly among moderate to heavy alcohol consumers. Alcohol Clinical and Experimental Research. 47(5). 893–907. 1 indexed citations
2.
Laurienti, Paul J., et al.. (2022). A mixed-modeling framework for whole-brain dynamic network analysis. Network Neuroscience. 6(2). 591–613. 7 indexed citations
3.
Laurienti, Paul J., et al.. (2022). 3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics. Network Neuroscience. 7(1). 1–21. 1 indexed citations
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Laurienti, Paul J., et al.. (2022). Brain Network Analysis: A Review on Multivariate Analytical Methods. Brain Connectivity. 13(2). 64–79. 6 indexed citations
7.
Laurienti, Paul J., et al.. (2021). A regression framework for brain network distance metrics. Network Neuroscience. 6(1). 49–68. 11 indexed citations
8.
Casanova, Ramon, et al.. (2021). Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques. Frontiers in Neuroinformatics. 15. 740143–740143. 8 indexed citations
9.
Shaltout, Hossam A., et al.. (2020). Pilot Trial of a Noninvasive Closed-Loop Neurotechnology for Stress-Related Symptoms in Law Enforcement: Improvements in Self-Reported Symptoms and Autonomic Function. Global Advances in Health and Medicine. 9. 545963160–545963160. 12 indexed citations
10.
Garg, Rajeev, Robert J. Dawe, James Conners, et al.. (2020). The Influence of Diffusion Weighted Imaging Lesions on Outcomes in Patients with Acute Spontaneous Intracerebral Hemorrhage. Neurocritical Care. 33(2). 552–564. 19 indexed citations
11.
Shaltout, Hossam A., et al.. (2018). Improvements in Heart Rate Variability, Baroreflex Sensitivity, and Sleep After Use of Closed-Loop Allostatic Neurotechnology by a Heterogeneous Cohort. Frontiers in Public Health. 6. 116–116. 17 indexed citations
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Moussa, Malaak N., Sean L. Simpson, Robert G. Lyday, et al.. (2016). Moderate-Heavy Alcohol Consumption Lifestyle in Older Adults Is Associated with Altered Central Executive Network Community Structure during Cognitive Task. PLoS ONE. 11(8). e0160214–e0160214. 17 indexed citations
15.
Tegeler, Charles H., Jared Cook, Sung W. Lee, et al.. (2016). A Preliminary Study of the Effectiveness of an Allostatic, Closed-Loop, Acoustic Stimulation Neurotechnology in the Treatment of Athletes with Persisting Post-concussion Symptoms. Sports Medicine - Open. 2(1). 39–39. 12 indexed citations
16.
Casanova, Ramon, Santiago Saldana, Sean L. Simpson, et al.. (2016). Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning. PLoS ONE. 11(10). e0163942–e0163942. 45 indexed citations
17.
Laurienti, Paul J., et al.. (2015). Global integration of the hot-state brain network of appetite predicts short term weight loss in older adult. Frontiers in Aging Neuroscience. 7. 70–70. 14 indexed citations
18.
Opriş, Ioan, et al.. (2014). Multifractal analysis of information processing in hippocampal neural ensembles during working memory under Δ9-tetrahydrocannabinol administration. Journal of Neuroscience Methods. 244. 136–153. 10 indexed citations
19.
Simpson, Sean L., Satoru Hayasaka, & Paul J. Laurienti. (2011). Exponential Random Graph Modeling for Complex Brain Networks. PLoS ONE. 6(5). e20039–e20039. 75 indexed citations
20.
Simpson, Sean L., Satoru Hayasaka, & Paul J. Laurienti. (2010). Selecting an exponential random graph model for complex brain networks. arXiv (Cornell University). 1 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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