Lauren McClain

651 total citations
18 papers, 455 citations indexed

About

Lauren McClain is a scholar working on Critical Care and Intensive Care Medicine, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Lauren McClain has authored 18 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Critical Care and Intensive Care Medicine, 8 papers in Cognitive Neuroscience and 4 papers in Clinical Psychology. Recurrent topics in Lauren McClain's work include EEG and Brain-Computer Interfaces (8 papers), Intensive Care Unit Cognitive Disorders (7 papers) and COVID-19 and Mental Health (4 papers). Lauren McClain is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Intensive Care Unit Cognitive Disorders (7 papers) and COVID-19 and Mental Health (4 papers). Lauren McClain collaborates with scholars based in United States, Netherlands and Australia. Lauren McClain's co-authors include Derek J. Williams, Karen E. Jerardi, Matt Hall, Katherine A. Auger, Angela Myers, Samir S. Shah, Joel S. Tieder, M. Brandon Westover, Mary Ann Queen and Elizabeth R. Bird and has published in prestigious journals such as PLoS ONE, Critical Care Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Lauren McClain

17 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren McClain United States 13 181 95 72 72 65 18 455
Valérie Boucher Canada 13 105 0.6× 183 1.9× 209 2.9× 85 1.2× 36 0.6× 56 515
Lars Engerström Sweden 11 144 0.8× 304 3.2× 44 0.6× 85 1.2× 141 2.2× 23 750
Molly McNett United States 16 164 0.9× 169 1.8× 94 1.3× 80 1.1× 9 0.1× 50 739
Mohana Ratnapalan United Kingdom 8 199 1.1× 206 2.2× 45 0.6× 41 0.6× 32 0.5× 15 507
Lorenzo Polidori Italy 14 59 0.3× 36 0.4× 31 0.4× 84 1.2× 65 1.0× 29 832
Joshua Goldstein United States 20 89 0.5× 132 1.4× 50 0.7× 42 0.6× 155 2.4× 39 882
Adrian Harris United Kingdom 11 111 0.6× 88 0.9× 31 0.4× 74 1.0× 10 0.2× 17 350
George Lindbeck United States 11 122 0.7× 139 1.5× 44 0.6× 28 0.4× 9 0.1× 19 500
Matthew Reid United States 15 376 2.1× 149 1.6× 30 0.4× 116 1.6× 37 0.6× 34 558
Donna Kelly United States 10 39 0.2× 158 1.7× 50 0.7× 112 1.6× 169 2.6× 15 610

Countries citing papers authored by Lauren McClain

Since Specialization
Citations

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

Fields of papers citing papers by Lauren McClain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren McClain

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

All Works

18 of 18 papers shown
1.
Paixão, Luis, Haoqi Sun, David Zhou, et al.. (2021). ICU delirium burden predicts functional neurologic outcomes. PLoS ONE. 16(12). e0259840–e0259840. 8 indexed citations
2.
McClain, Lauren, Brittney A. Hultgren, Irene M. Geisner, et al.. (2021). Emotion-based decision-making as a predictor of alcohol-related consequences in college students. Addictive Behaviors. 124. 107083–107083. 1 indexed citations
3.
Minami, Haruka, Shadi Nahvi, Julia H. Arnsten, et al.. (2021). A pilot randomized controlled trial of smartphone-assisted mindfulness-based intervention with contingency management for smokers with mood disorders.. Experimental and Clinical Psychopharmacology. 30(5). 653–665. 12 indexed citations
4.
McClain, Lauren, Ryan C. Broderick, Bryan J. Sandler, et al.. (2020). More beads, more peristaltic reserve, better outcomes: factors predicting postoperative dysphagia after magnetic sphincter augmentation. Surgical Endoscopy. 35(9). 5295–5302. 14 indexed citations
5.
Enkema, Matthew C., Lauren McClain, Elizabeth R. Bird, Max A. Halvorson, & Mary E. Larimer. (2020). Associations Between Mindfulness and Mental Health Outcomes: a Systematic Review of Ecological Momentary Assessment Research. Mindfulness. 11(11). 2455–2469. 56 indexed citations
6.
Sun, Haoqi, Eyal Y. Kimchi, Oluwaseun Akeju, et al.. (2019). Automated tracking of level of consciousness and delirium in critical illness using deep learning. npj Digital Medicine. 2(1). 89–89. 22 indexed citations
7.
Nagaraj, Sunil B., Lauren McClain, Emily J. Boyle, et al.. (2018). Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition. IEEE Transactions on Biomedical Engineering. 65(12). 2684–2691. 23 indexed citations
8.
Minami, Haruka, Shadi Nahvi, Julia H. Arnsten, et al.. (2017). Rationale, design and pilot feasibility results of a smartphone-assisted, mindfulness-based intervention for smokers with mood disorders: Project mSMART MIND. Contemporary Clinical Trials. 66. 36–44. 23 indexed citations
9.
McClain, Lauren. (2017). Pilot Randomized Controlled Trial of Smartphone-Delivered Daily Brief Mindfulness Practice for Young Adult Smokers Uninterested in Quitting. DigitalResearch@Fordham (Fordham University). 3 indexed citations
10.
Pati, Sandipan, et al.. (2017). Accuracy of Limited-Montage Electroencephalography in Monitoring Postanoxic Comatose Patients. Clinical EEG and Neuroscience. 48(6). 422–427. 16 indexed citations
11.
Nagaraj, Sunil B., Siddharth Biswal, Emily J. Boyle, et al.. (2017). Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability*. Critical Care Medicine. 45(7). e683–e690. 25 indexed citations
12.
Nagaraj, Sunil B., Lauren McClain, David Zhou, et al.. (2016). Automatic Classification of Sedation Levels in ICU Patients Using Heart Rate Variability. Critical Care Medicine. 44(9). e782–e789. 24 indexed citations
13.
Nagaraj, Sunil B., Siddharth Biswal, Emily J. Boyle, et al.. (2016). Heart rate variability as a biomarker for sedation depth estimation in ICU patients. PubMed. 2016. 6397–6400. 1 indexed citations
14.
O’Rourke, Deirdre, Patrick Chen, Nicolas Gaspard, et al.. (2015). Response Rates to Anticonvulsant Trials in Patients with Triphasic-Wave EEG Patterns of Uncertain Significance. Neurocritical Care. 24(2). 233–239. 36 indexed citations
15.
Zhou, David, M. Brandon Westover, Lauren McClain, et al.. (2015). Clustering analysis to identify distinct spectral components of encephalogram burst suppression in critically ill patients. PubMed. 2015. 7258–7261.
16.
McClain, Lauren, Matt Hall, Samir S. Shah, et al.. (2014). Admission chest radiographs predict illness severity for children hospitalized with pneumonia. Journal of Hospital Medicine. 9(9). 559–564. 15 indexed citations
17.
Myers, Angela, Matt Hall, Derek J. Williams, et al.. (2013). Prevalence of Bacteremia in Hospitalized Pediatric Patients With Community-acquired Pneumonia. The Pediatric Infectious Disease Journal. 32(7). 736–740. 58 indexed citations
18.
Williams, Derek J., Samir S. Shah, Angela Myers, et al.. (2013). Identifying Pediatric Community-Acquired Pneumonia Hospitalizations. JAMA Pediatrics. 167(9). 851–851. 118 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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