Seyedmehdi Payabvash

5.2k total citations
202 papers, 3.5k citations indexed

About

Seyedmehdi Payabvash is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology. According to data from OpenAlex, Seyedmehdi Payabvash has authored 202 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Radiology, Nuclear Medicine and Imaging, 75 papers in Epidemiology and 51 papers in Neurology. Recurrent topics in Seyedmehdi Payabvash's work include Acute Ischemic Stroke Management (65 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Cerebrovascular and Carotid Artery Diseases (30 papers). Seyedmehdi Payabvash is often cited by papers focused on Acute Ischemic Stroke Management (65 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Cerebrovascular and Carotid Artery Diseases (30 papers). Seyedmehdi Payabvash collaborates with scholars based in United States, Germany and Iran. Seyedmehdi Payabvash's co-authors include Michael H. Lev, Amirali Salmasi, Abdol‐Mohammad Kajbafzadeh, Karen L. Furie, Seyed Mohammad Tavangar, Ajay Malhotra, Ahmad Reza Dehpour, Leticia C.S. Souza, Shervin Kamalian and Pamela W. Schaefer and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Seyedmehdi Payabvash

185 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seyedmehdi Payabvash United States 32 1.3k 997 876 852 585 202 3.5k
Robert L. Grubb United States 19 2.9k 2.2× 208 0.2× 1.6k 1.8× 2.1k 2.4× 488 0.8× 39 5.0k
Andréa Stella Italy 47 717 0.6× 386 0.4× 2.7k 3.1× 383 0.4× 1.9k 3.3× 311 7.1k
Torben V. Schroeder Denmark 38 948 0.7× 509 0.5× 2.9k 3.3× 867 1.0× 2.5k 4.3× 236 5.7k
Jean-François Ménard France 40 1.2k 0.9× 442 0.4× 970 1.1× 210 0.2× 607 1.0× 119 4.3k
Seon‐Ok Kim South Korea 31 711 0.5× 640 0.6× 1.4k 1.6× 450 0.5× 1.3k 2.2× 258 4.1k
Peter Rehak Austria 43 643 0.5× 352 0.4× 1.9k 2.1× 163 0.2× 2.4k 4.0× 189 5.7k
Michael Chang United States 28 472 0.4× 200 0.2× 753 0.9× 355 0.4× 1.3k 2.2× 90 3.5k
Jerzy Walecki Poland 28 532 0.4× 778 0.8× 408 0.5× 523 0.6× 414 0.7× 212 2.7k
Lieng Hsi Ling Singapore 39 1.3k 1.0× 1.1k 1.2× 946 1.1× 426 0.5× 1.5k 2.6× 157 6.8k
Sherman C. Stein United States 45 2.0k 1.5× 468 0.5× 339 0.4× 4.3k 5.1× 1.4k 2.4× 164 6.7k

Countries citing papers authored by Seyedmehdi Payabvash

Since Specialization
Citations

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

Fields of papers citing papers by Seyedmehdi Payabvash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seyedmehdi Payabvash

This figure shows the co-authorship network connecting the top 25 collaborators of Seyedmehdi Payabvash. A scholar is included among the top collaborators of Seyedmehdi Payabvash 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 Seyedmehdi Payabvash. Seyedmehdi Payabvash 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.
Payabvash, Seyedmehdi, Kevin N. Sheth, Andreas Harloff, et al.. (2025). Spatial Correlates of Dementia and Disability After Intracerebral Hemorrhage. Journal of the American Heart Association. 14(4). e037930–e037930.
2.
Khosla, P.K., Seyedmehdi Payabvash, John E. Jordan, et al.. (2025). Educational Debt Among US Medical Graduates Entering Radiology. Journal of the American College of Radiology. 23(2). 225–236.
3.
Qureshi, Adnan I., Ajay Malhotra, Shahram Majidi, et al.. (2025). Improving the Robustness of Deep Learning Models in Predicting Hematoma Expansion from Admission Head CT. American Journal of Neuroradiology. 46(7). 1404–1411. 2 indexed citations
4.
Dylla, Layne, Long Tu, Seyedmehdi Payabvash, et al.. (2025). Trends in Head CT Use in US Emergency Department Patients From 2007 to 2022. Neurology. 105(12). e214347–e214347.
5.
Johnson, Ian, Joel A. Smith, Gordon Sze, et al.. (2025). Predicting White Matter Hyperintensity: Leveraging Portable MRI for Accessible Brain Health Screening. American Journal of Neuroradiology. 46(9). 1786–1792.
6.
Murthy, Santosh B., Cenai Zhang, Andrew Garton, et al.. (2025). Outcomes Following Minimally Invasive Surgery for Intracerebral Hemorrhage in the AHA Get With The Guidelines-Stroke Registry. Stroke. 56(6). 1441–1450.
7.
Payabvash, Seyedmehdi, Kevin N. Sheth, Andreas Harloff, et al.. (2024). Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European Stroke Journal. 10(1). 225–235. 2 indexed citations
8.
Lee, Chris, Mihir Khunte, Kyle Tegtmeyer, et al.. (2024). Industry relationships with interventional radiologists: Who are the high payment physicians?. Current Problems in Diagnostic Radiology. 54(2). 206–209. 3 indexed citations
9.
Zeevi, Tal, Stefan P. Haider, Elisa R. Berson, et al.. (2024). Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. npj Digital Medicine. 7(1). 26–26. 12 indexed citations
10.
Malhotra, Ajay, et al.. (2024). Accuracy of Financial Disclosures by Scientific Presenters/Authors at the ASNR 2024 Annual Meeting. American Journal of Neuroradiology. 46(6). 1100–1102.
11.
Malhotra, Ajay, Mihir Khunte, Nagaraj S. Moily, et al.. (2024). Academic Radiology Physician Financial Compensation in the United States: Trends and Distribution. Radiology. 313(1). e241057–e241057. 15 indexed citations
12.
Malhotra, Ajay, Seyedmehdi Payabvash, Ben White, et al.. (2024). Recent Trends in Academic Versus Nonacademic Radiologist Compensation and Clinical Productivity. Journal of the American College of Radiology. 22(4). 486–494. 13 indexed citations
13.
Khunte, Mihir, Xiao Wu, Seyedmehdi Payabvash, et al.. (2023). Malpractice Litigation Related to Diagnosis and Treatment of Intracranial Aneurysms. American Journal of Neuroradiology. 44(4). 460–466. 4 indexed citations
14.
Khunte, Mihir, Huanwen Chen, Akshay Khunte, et al.. (2023). Trends in Use of Intravenous Thrombolysis and Endovascular Thrombectomy in Patients With Acute Stroke With Large Vessel Occlusion 2016 to 2020 and Impact of COVID‐19 Pandemic. Journal of the American Heart Association. 12(21). e029579–e029579. 1 indexed citations
15.
Huang, Lin, Ajay Malhotra, R. Todd Constable, et al.. (2023). Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018. JAMA Network Open. 6(5). e2314193–e2314193. 12 indexed citations
16.
Beekman, Rachel, Anna Crawford, Mercy H. Mazurek, et al.. (2022). Bedside monitoring of hypoxic ischemic brain injury using low-field, portable brain magnetic resonance imaging after cardiac arrest. Resuscitation. 176. 150–158. 31 indexed citations
17.
Liu, Xiaoyang, Farhad Maleki, Nikesh Muthukrishnan, et al.. (2021). Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models. Cancers. 13(15). 3723–3723. 5 indexed citations
18.
Wu, Xiao, Mihir Khunte, Seyedmehdi Payabvash, et al.. (2020). Outcomes after Thrombectomy for Minor Stroke: A Meta-Analysis. World Neurosurgery. 149. e1140–e1154. 8 indexed citations
19.
Payabvash, Seyedmehdi, Eva Palacios, Julia P. Owen, et al.. (2019). White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models. Brain Connectivity. 9(2). 209–220. 46 indexed citations
20.
Benson, John C., et al.. (2016). CT Perfusion in Acute Lacunar Stroke: Detection Capabilities Based on Infarct Location. American Journal of Neuroradiology. 37(12). 2239–2244. 36 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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