Robert G. Lyday

715 total citations
28 papers, 473 citations indexed

About

Robert G. Lyday is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robert G. Lyday has authored 28 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robert G. Lyday's work include Functional Brain Connectivity Studies (24 papers), Mental Health Research Topics (12 papers) and Neural dynamics and brain function (9 papers). Robert G. Lyday is often cited by papers focused on Functional Brain Connectivity Studies (24 papers), Mental Health Research Topics (12 papers) and Neural dynamics and brain function (9 papers). Robert G. Lyday collaborates with scholars based in United States, Canada and China. Robert G. Lyday's co-authors include Paul J. Laurienti, Jonathan H. Burdette, Sean L. Simpson, Dale Dagenbach, Malaak N. Moussa, Matthew L. Stanley, M. Stanley, Satoru Hayasaka, Anthony P. Marsh and Ramon Casanova and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Robert G. Lyday

20 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert G. Lyday United States 11 383 132 102 33 23 28 473
Taylor Bolt United States 11 483 1.3× 134 1.0× 97 1.0× 58 1.8× 21 0.9× 22 550
Luke J. Hearne Australia 12 584 1.5× 177 1.3× 101 1.0× 47 1.4× 34 1.5× 21 668
Joeran Lepsien Germany 3 494 1.3× 162 1.2× 110 1.1× 43 1.3× 22 1.0× 5 608
Malaak N. Moussa United States 6 329 0.9× 112 0.8× 74 0.7× 22 0.7× 24 1.0× 6 377
Ryan V. Raut United States 10 606 1.6× 231 1.8× 81 0.8× 44 1.3× 52 2.3× 14 705
Daniel J. Lurie United States 8 447 1.2× 101 0.8× 107 1.0× 19 0.6× 57 2.5× 12 545
Vasso Tsirka Greece 8 482 1.3× 73 0.6× 76 0.7× 17 0.5× 22 1.0× 8 524
Colin W. Hoy United States 8 528 1.4× 173 1.3× 116 1.1× 28 0.8× 24 1.0× 12 561
Paola Finoia United Kingdom 15 582 1.5× 87 0.7× 68 0.7× 94 2.8× 49 2.1× 18 825

Countries citing papers authored by Robert G. Lyday

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Lyday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Lyday. 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 Robert G. Lyday. The network helps show where Robert G. Lyday may publish in the future.

Co-authorship network of co-authors of Robert G. Lyday

This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Lyday. A scholar is included among the top collaborators of Robert G. Lyday 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 Robert G. Lyday. Robert G. Lyday 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.
Lyday, Robert G., et al.. (2025). Triple network dynamics and future alcohol consumption in adolescents. Alcohol Clinical and Experimental Research. 49(6). 1206–1220. 1 indexed citations
2.
Shappell, Heather M., W. Jack Rejeski, Robert G. Lyday, et al.. (2025). Brain network dynamics associated with intentional weight loss in older adults. PubMed. 5.
3.
Lyday, Robert G., et al.. (2025). Fractal Analysis of Brain Activity During Risky Drinking in Adolescents and Young Adults. Brain Sciences. 15(12). 1256–1256.
4.
Lyday, Robert G., Yixin Su, Barbara J. Nicklas, et al.. (2025). Insulin resistance, cognition, and functional brain network topology in older adults with obesity. Scientific Reports. 15(1). 22612–22612.
5.
Shappell, Heather M., et al.. (2024). Contrasting topologies of synchronous and asynchronous functional brain networks. Network Neuroscience. 8(4). 1–16.
6.
Burdette, Jonathan H., Michael E. Miller, Robert G. Lyday, et al.. (2024). Association of physical function with connectivity in the sensorimotor and dorsal attention networks: why examining specific components of physical function matters. GeroScience. 46(5). 4987–5002. 1 indexed citations
7.
Laurienti, Paul J., Michael E. Miller, Robert G. Lyday, et al.. (2023). Associations of physical function and body mass index with functional brain networks in community-dwelling older adults. Neurobiology of Aging. 127. 43–53. 11 indexed citations
8.
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
9.
Lyday, Robert G., et al.. (2022). Improvisational Movement to Improve Quality of Life in Older Adults With Early-Stage Dementia: A Pilot Study. Frontiers in Sports and Active Living. 3. 796101–796101. 13 indexed citations
10.
Simpson, Sean L., Jonathan H. Burdette, Robert G. Lyday, et al.. (2022). Altered default mode network associated with pesticide exposure in Latinx children from rural farmworker families. NeuroImage. 256. 119179–119179. 11 indexed citations
11.
Laurienti, Paul J., et al.. (2021). A regression framework for brain network distance metrics. Network Neuroscience. 6(1). 49–68. 11 indexed citations
12.
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
13.
Lyday, Robert G., et al.. (2019). Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks. Frontiers in Human Neuroscience. 13. 430–430. 13 indexed citations
14.
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.
Laurienti, Paul J., Jonathan H. Burdette, Jennifer W. Talton, et al.. (2016). Brain Anatomy in Latino Farmworkers Exposed to Pesticides and Nicotine. Journal of Occupational and Environmental Medicine. 58(5). 436–443. 5 indexed citations
16.
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
17.
Stanley, Matthew L., Sean L. Simpson, Dale Dagenbach, et al.. (2015). Changes in Brain Network Efficiency and Working Memory Performance in Aging. PLoS ONE. 10(4). e0123950–e0123950. 82 indexed citations
18.
Stanley, Matthew L., Dale Dagenbach, Robert G. Lyday, Jonathan H. Burdette, & Paul J. Laurienti. (2014). Changes in global and regional modularity associated with increasing working memory load. Frontiers in Human Neuroscience. 8. 954–954. 57 indexed citations
19.
Simpson, Sean L., Robert G. Lyday, Satoru Hayasaka, Anthony P. Marsh, & Paul J. Laurienti. (2013). A permutation testing framework to compare groups of brain networks. Frontiers in Computational Neuroscience. 7. 171–171. 58 indexed citations
20.
Stanley, M., et al.. (2013). Defining nodes in complex brain networks. Frontiers in Computational Neuroscience. 7. 169–169. 144 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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