Murad Megjhani

1.2k total citations · 1 hit paper
40 papers, 762 citations indexed

About

Murad Megjhani is a scholar working on Neurology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Murad Megjhani has authored 40 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 13 papers in Epidemiology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Murad Megjhani's work include Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Intracranial Aneurysms: Treatment and Complications (9 papers) and Acute Ischemic Stroke Management (8 papers). Murad Megjhani is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Intracranial Aneurysms: Treatment and Complications (9 papers) and Acute Ischemic Stroke Management (8 papers). Murad Megjhani collaborates with scholars based in United States, Switzerland and Germany. Murad Megjhani's co-authors include Soojin Park, Jan Claassen, David Roh, Sachin Agarwal, E. Sander Connolly, Ángela Velázquez, Kevin Doyle, Benjamin Rohaut, Andrey Eliseyev and Caroline Couch and has published in prestigious journals such as New England Journal of Medicine, Bioinformatics and Neurology.

In The Last Decade

Murad Megjhani

38 papers receiving 745 citations

Hit Papers

Detection of Brain Activation in Unresponsive Patients wi... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury
    2019 297 citations Jan Claassen, Kevin Doyle et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murad Megjhani United States 14 399 289 165 164 75 40 762
Mona A. Mohamed United States 15 292 0.7× 175 0.6× 66 0.4× 163 1.0× 102 1.4× 38 816
Ayham Alkhachroum United States 16 299 0.7× 137 0.5× 99 0.6× 121 0.7× 131 1.7× 62 714
Kevin Doyle United States 14 382 1.0× 389 1.3× 215 1.3× 119 0.7× 88 1.2× 21 754
Xuehai Wu China 21 487 1.2× 533 1.8× 251 1.5× 610 3.7× 101 1.3× 71 1.5k
Maria Baldwin United States 18 340 0.9× 202 0.7× 380 2.3× 351 2.1× 180 2.4× 35 1.1k
Leonard A. Temme United States 12 226 0.6× 284 1.0× 64 0.4× 153 0.9× 26 0.3× 43 585
Erika Molteni Italy 18 180 0.5× 207 0.7× 111 0.7× 247 1.5× 35 0.5× 74 853
Gerald Pichler Austria 13 104 0.3× 295 1.0× 138 0.8× 321 2.0× 46 0.6× 23 543
Davide Rossi Sebastiano Italy 19 247 0.6× 355 1.2× 144 0.9× 418 2.5× 65 0.9× 80 899
Valeriy Nenov United States 13 613 1.5× 186 0.6× 155 0.9× 418 2.5× 184 2.5× 24 1.2k

Countries citing papers authored by Murad Megjhani

Since Specialization
Citations

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

Fields of papers citing papers by Murad Megjhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murad Megjhani

This figure shows the co-authorship network connecting the top 25 collaborators of Murad Megjhani. A scholar is included among the top collaborators of Murad Megjhani 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 Murad Megjhani. Murad Megjhani 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
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El‐Hussein, Ahmed, Murad Megjhani, Miriam Weiss, et al.. (2023). A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. PubMed. 2023. 1886–1889. 1 indexed citations
3.
Megjhani, Murad, Soon Bin Kwon, Ángela Velázquez, et al.. (2023). A Deep Learning Framework for Deriving Noninvasive Intracranial Pressure Waveforms from Transcranial Doppler. Annals of Neurology. 94(1). 196–202. 9 indexed citations
4.
Ranard, Benjamin L., Carson C. Chow, Murad Megjhani, et al.. (2023). A mathematical model of SARS‐CoV‐2 immunity predicts paxlovid rebound. Journal of Medical Virology. 95(6). e28854–e28854. 4 indexed citations
5.
Megjhani, Murad, Catharina Conzen, Walid Albanna, et al.. (2023). The oxygen reactivity index indicates disturbed local perfusion regulation after aneurysmal subarachnoid hemorrhage: an observational cohort study. Critical Care. 27(1). 235–235. 8 indexed citations
6.
Ridha, Mohamed, Murad Megjhani, Soon Bin Kwon, et al.. (2023). Suboptimal Cerebral Perfusion is Associated with Ischemia After Intracerebral Hemorrhage. Neurocritical Care. 40(3). 996–1005. 8 indexed citations
7.
Kwon, Soon Bin, et al.. (2023). Heart rate and heart rate variability as a prognosticating feature for functional outcome after cardiac arrest: A scoping review. Resuscitation Plus. 15. 100450–100450. 1 indexed citations
8.
Megjhani, Murad, Soon Bin Kwon, Ángela Velázquez, et al.. (2023). Automatic identification of intracranial pressure waveform during external ventricular drainage clamping: segmentation via wavelet analysis. Physiological Measurement. 44(6). 64002–64002. 1 indexed citations
9.
Weiss, Miriam, Walid Albanna, Catharina Conzen, et al.. (2022). Intraarterial Nimodipine Versus Induced Hypertension for Delayed Cerebral Ischemia: A Modified Treatment Protocol. Stroke. 53(8). 2607–2616. 10 indexed citations
10.
Shen, Qi, Kevin Doyle, Ángela Velázquez, et al.. (2022). Classification of Level of Consciousness in a Neurological ICU Using Physiological Data. Neurocritical Care. 38(1). 118–128. 4 indexed citations
11.
Rubiños, Clio, Soon Bin Kwon, Murad Megjhani, et al.. (2022). Predicting Shunt Dependency from the Effect of Cerebrospinal Fluid Drainage on Ventricular Size. Neurocritical Care. 37(3). 670–677. 10 indexed citations
12.
Ranard, Benjamin L., et al.. (2022). Heart rate variability and adrenal size provide clues to sudden cardiac death in hospitalized COVID-19 patients. Journal of Critical Care. 71. 154114–154114. 3 indexed citations
13.
Megjhani, Murad, et al.. (2021). Use of Clustering to Investigate Changes in Intracranial Pressure Waveform Morphology in Patients with Ventriculitis. Acta neurochirurgica. Supplementum. 131. 59–62. 2 indexed citations
14.
Savarraj, Jude P. J., Georgene W. Hergenroeder, Liang Zhu, et al.. (2020). Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage. Neurology. 96(4). e553–e562. 51 indexed citations
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Megjhani, Murad, Andrew St. Martin, Ángela Velázquez, et al.. (2018). Deriving the PRx and CPPopt from 0.2-Hz Data: Establishing Generalizability to Bedmaster Users. Acta neurochirurgica. Supplementum. 126. 179–182. 7 indexed citations
18.
Megjhani, Murad, Hans‐Peter Frey, Ángela Velázquez, et al.. (2018). Incorporating High-Frequency Physiologic Data Using Computational Dictionary Learning Improves Prediction of Delayed Cerebral Ischemia Compared to Existing Methods. Frontiers in Neurology. 9. 122–122. 10 indexed citations
19.
Park, Soojin, Murad Megjhani, Hans‐Peter Frey, et al.. (2018). Predicting delayed cerebral ischemia after subarachnoid hemorrhage using physiological time series data. Journal of Clinical Monitoring and Computing. 33(1). 95–105. 25 indexed citations
20.
Kontson, Kimberly, Murad Megjhani, Justin Brantley, et al.. (2015). Your Brain on Art: Emergent Cortical Dynamics During Aesthetic Experiences. Frontiers in Human Neuroscience. 9. 626–626. 33 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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