Brandon Foreman

10.1k total citations
83 papers, 1.9k citations indexed

About

Brandon Foreman is a scholar working on Neurology, Emergency Medicine and Epidemiology. According to data from OpenAlex, Brandon Foreman has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Neurology, 26 papers in Emergency Medicine and 24 papers in Epidemiology. Recurrent topics in Brandon Foreman's work include Traumatic Brain Injury and Neurovascular Disturbances (53 papers), Cardiac Arrest and Resuscitation (22 papers) and Traumatic Brain Injury Research (17 papers). Brandon Foreman is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (53 papers), Cardiac Arrest and Resuscitation (22 papers) and Traumatic Brain Injury Research (17 papers). Brandon Foreman collaborates with scholars based in United States, Australia and Germany. Brandon Foreman's co-authors include Jan Claassen, Jan Claassen, Lawrence J. Hirsch, Laura B. Ngwenya, Jed A. Hartings, Norberto Andaluz, Jason M. Hinzman, Jens P. Dreier, Stephan A. Mayer and Nicolas Gaspard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Annals of Neurology.

In The Last Decade

Brandon Foreman

75 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brandon Foreman United States 22 913 528 444 389 372 83 1.9k
Robert Kowalski Poland 15 506 0.6× 579 1.1× 361 0.8× 333 0.9× 182 0.5× 36 1.5k
Andres Fernandez United States 23 1.7k 1.9× 484 0.9× 347 0.8× 199 0.5× 536 1.4× 36 2.6k
David Roh United States 25 1.2k 1.3× 296 0.6× 457 1.0× 187 0.5× 217 0.6× 99 2.1k
Jan Claassen United States 18 703 0.8× 1.2k 2.3× 385 0.9× 722 1.9× 438 1.2× 24 2.1k
Hiba Arif United States 16 354 0.4× 832 1.6× 283 0.6× 386 1.0× 240 0.6× 20 1.9k
Ángela Velázquez United States 16 731 0.8× 320 0.6× 359 0.8× 272 0.7× 184 0.5× 34 1.3k
G. Bryan Young Canada 21 794 0.9× 1.1k 2.0× 706 1.6× 818 2.1× 476 1.3× 57 2.9k
Teneille Gofton Canada 17 492 0.5× 409 0.8× 140 0.3× 134 0.3× 157 0.4× 70 1.7k
Jakob Reith Denmark 18 829 0.9× 386 0.7× 387 0.9× 212 0.5× 396 1.1× 24 2.9k
Antonello Grippo Italy 27 654 0.7× 263 0.5× 565 1.3× 389 1.0× 121 0.3× 159 2.0k

Countries citing papers authored by Brandon Foreman

Since Specialization
Citations

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

Fields of papers citing papers by Brandon Foreman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandon Foreman

This figure shows the co-authorship network connecting the top 25 collaborators of Brandon Foreman. A scholar is included among the top collaborators of Brandon Foreman 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 Brandon Foreman. Brandon Foreman 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.
Foreman, Brandon, et al.. (2025). Personalizing the Pressure Reactivity Index for Quantifying Cerebral Autoregulation in Neurocritical Care. IEEE Transactions on Biomedical Engineering. 72(12). 3474–3483.
2.
Osorio, Robert C., Abel Torres‐Espín, Brandon Foreman, et al.. (2025). Intracranial Pressure as a Dynamic Predictor of Traumatic Brain Injury Outcomes: A Scoping Review. Journal of Neurotrauma. 43(1-2). 1–12.
4.
Paul, Anne, Joseph Cheng, Owoicho Adogwa, et al.. (2024). A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation. Applied Clinical Informatics. 15(3). 479–488. 1 indexed citations
5.
Sheikh, Zubeda, Monica B. Dhakar, Michael Fong, et al.. (2024). Accuracy of a Rapid-Response EEG's Automated Seizure-Burden Estimator. Neurology. 104(2). e210234–e210234. 2 indexed citations
6.
Ghaderi, Hamid, Brandon Foreman, Chandan K. Reddy, & Vignesh Subbian. (2024). Discovery of generalizable TBI phenotypes using multivariate time-series clustering. Computers in Biology and Medicine. 180. 108997–108997. 3 indexed citations
7.
Ngwenya, Laura B., et al.. (2024). Clinical Impact of Standardized Interpretation and Reporting of Multimodality Neuromonitoring Data. Critical Care Explorations. 6(8). e1139–e1139.
8.
Hartings, Jed A., Jens P. Dreier, Laura B. Ngwenya, et al.. (2023). Improving Neurotrauma by Depolarization Inhibition With Combination Therapy: A Phase 2 Randomized Feasibility Trial. Neurosurgery. 93(4). 924–931. 12 indexed citations
9.
Reddy, Chandan K., et al.. (2023). WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. Journal of Biomedical Informatics. 144. 104438–104438. 15 indexed citations
10.
Goldstein, Joshua N., Sarah Duffy, Edilberto Amorim, et al.. (2022). Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project. Neurocritical Care. 37(S2). 276–290. 5 indexed citations
11.
Foreman, Brandon, David O. Okonkwo, Anthony J. Strong, et al.. (2022). The Relationship Between Seizures and Spreading Depolarizations in Patients with Severe Traumatic Brain Injury. Neurocritical Care. 37(S1). 31–48. 14 indexed citations
12.
Miller, Aaron, et al.. (2021). Noninvasive Optical Monitoring of Cerebral Blood Flow and EEG Spectral Responses after Severe Traumatic Brain Injury: A Case Report. Brain Sciences. 11(8). 1093–1093. 3 indexed citations
13.
Foreman, Brandon, Jed A. Hartings, Laura B. Ngwenya, et al.. (2021). Seizures and Cognitive Outcome After Traumatic Brain Injury: A Post Hoc Analysis. Neurocritical Care. 36(1). 130–138. 9 indexed citations
14.
Foreman, Brandon, et al.. (2021). Challenges and Opportunities in Multimodal Monitoring and Data Analytics in Traumatic Brain Injury. Current Neurology and Neuroscience Reports. 21(3). 6–6. 21 indexed citations
15.
Foreman, Brandon. (2020). Neurocritical Care: Bench to Bedside (Eds. Claude Hemphill, Michael James) Integrating and Using Big Data in Neurocritical Care. Neurotherapeutics. 17(2). 593–605. 7 indexed citations
16.
Johnson, Mark D., Christopher P. Carroll, Norberto Andaluz, et al.. (2020). Single-Center Experience With Antibiotic Prophylaxis and Infectious Complications in Civilian Cranial Gunshot Wounds. 2(1). 4 indexed citations
17.
Le, Diana, et al.. (2019). Implementation of a Neurotrauma Hotline for post‐hospital continuity of care. Acta Neurologica Scandinavica. 141(4). 351–354. 2 indexed citations
18.
Kreitzer, Natalie, et al.. (2018). Blood Flow and Continuous EEG Changes during Symptomatic Plateau Waves. Brain Sciences. 8(1). 14–14. 4 indexed citations
19.
Foreman, Brandon, et al.. (2018). Safety and Reliability of Bedside, Single Burr Hole Technique for Intracranial Multimodality Monitoring in Severe Traumatic Brain Injury. Neurocritical Care. 29(3). 469–480. 27 indexed citations
20.
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

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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