Emily J. Boyle

459 total citations
8 papers, 299 citations indexed

About

Emily J. Boyle is a scholar working on Neurology, Critical Care and Intensive Care Medicine and Cognitive Neuroscience. According to data from OpenAlex, Emily J. Boyle has authored 8 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Cognitive Neuroscience. Recurrent topics in Emily J. Boyle's work include Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Emily J. Boyle is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Emily J. Boyle collaborates with scholars based in United States, Belgium and Italy. Emily J. Boyle's co-authors include M. Brandon Westover, Sahar F. Zafar, Siddharth Biswal, Andrew J. Cole, Sydney S. Cash, Eric S. Rosenthal, Kathryn L. O’Connor, Sophia Bechek, Apeksha Shenoy and Aman B. Patel and has published in prestigious journals such as Annals of Neurology, Critical Care Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Emily J. Boyle

8 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily J. Boyle United States	7	160	91	81	54	53	8	299
Sophia Bechek United States	8	188 1.2×	61 0.7×	63 0.8×	46 0.9×	25 0.5×	9	298
Cristina Falo United States	9	298 1.9×	77 0.8×	61 0.8×	71 1.3×	40 0.8×	11	452
Andrew Bauerschmidt United States	8	109 0.7×	56 0.6×	52 0.6×	52 1.0×	23 0.4×	25	220
Sureerat Suwatcharangkoon Thailand	6	253 1.6×	81 0.9×	50 0.6×	66 1.2×	45 0.8×	8	346
Apeksha Shenoy United States	9	141 0.9×	46 0.5×	46 0.6×	44 0.8×	23 0.4×	15	327
Giada Padovano Italy	9	69 0.4×	134 1.5×	27 0.3×	69 1.3×	99 1.9×	12	270
Carlos Casimiro Portugal	8	79 0.5×	143 1.6×	108 1.3×	101 1.9×	66 1.2×	39	361
Ana Franco Portugal	9	106 0.7×	189 2.1×	132 1.6×	104 1.9×	86 1.6×	29	358
Hugo Martins Portugal	8	96 0.6×	139 1.5×	114 1.4×	102 1.9×	66 1.2×	12	310
Andranik Madikians United States	9	194 1.2×	59 0.6×	27 0.3×	142 2.6×	101 1.9×	10	338

Countries citing papers authored by Emily J. Boyle

Since Specialization

Citations

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

Fields of papers citing papers by Emily J. Boyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily J. Boyle. 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 Emily J. Boyle. The network helps show where Emily J. Boyle may publish in the future.

Co-authorship network of co-authors of Emily J. Boyle

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

All Works

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8 of 8 papers shown

Kim, Jennifer A., Emily J. Boyle, Alexander C. Wu, et al.. (2018). Epileptiform activity in traumatic brain injury predicts post‐traumatic epilepsy. Annals of Neurology. 83(4). 858–862. 65 indexed citations

Rosenthal, Eric S., Siddharth Biswal, Sahar F. Zafar, et al.. (2018). Continuous electroencephalography predicts delayed cerebral ischemia after subarachnoid hemorrhage: A prospective study of diagnostic accuracy. Annals of Neurology. 83(5). 958–969. 102 indexed citations

Zafar, Sahar F., Siddharth Biswal, Emily J. Boyle, et al.. (2018). Effect of epileptiform abnormality burden on neurologic outcome and antiepileptic drug management after subarachnoid hemorrhage. Clinical Neurophysiology. 129(11). 2219–2227. 34 indexed citations

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

Zafar, Sahar F., Siddharth Biswal, Lucas M. Fleuren, et al.. (2017). Electronic Health Data Predict Outcomes After Aneurysmal Subarachnoid Hemorrhage. Neurocritical Care. 28(2). 184–193. 27 indexed citations

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

Shenoy, Apeksha, Kathryn L. O’Connor, Sophia Bechek, et al.. (2016). Clinical Development and Implementation of an Institutional Guideline for Prospective EEG Monitoring and Reporting of Delayed Cerebral Ischemia. Journal of Clinical Neurophysiology. 33(3). 217–226. 22 indexed citations

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

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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