Arash Bedayat

941 total citations · 1 hit paper
48 papers, 584 citations indexed

About

Arash Bedayat is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Arash Bedayat has authored 48 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Epidemiology. Recurrent topics in Arash Bedayat's work include Cardiac Imaging and Diagnostics (12 papers), Venous Thromboembolism Diagnosis and Management (9 papers) and Advanced MRI Techniques and Applications (9 papers). Arash Bedayat is often cited by papers focused on Cardiac Imaging and Diagnostics (12 papers), Venous Thromboembolism Diagnosis and Management (9 papers) and Advanced MRI Techniques and Applications (9 papers). Arash Bedayat collaborates with scholars based in United States, Iran and Japan. Arash Bedayat's co-authors include Cameron Hassani, Amir Ali Rahsepar, Grace Hyun J. Kim, Neda Tavakoli, Fereidoun Abtin, Kanako K. Kumamaru, Frank J. Rybicki, Andetta R. Hunsaker, Elizabeth George and Nicole Wake and has published in prestigious journals such as Radiology, CHEST Journal and Magnetic Resonance in Medicine.

In The Last Decade

Arash Bedayat

43 papers receiving 572 citations

Hit Papers

How AI Responds to Common Lung Cancer Questions: ChatGPT ... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arash Bedayat United States 14 290 205 127 95 94 48 584
Roman Johannes Gertz Germany 11 353 1.2× 126 0.6× 33 0.3× 16 0.2× 51 0.5× 37 519
Jeffrey Nadig United States 4 129 0.4× 44 0.2× 81 0.6× 33 0.3× 32 0.3× 8 310
Jonathan Kottlors Germany 10 237 0.8× 185 0.9× 37 0.3× 8 0.1× 74 0.8× 30 431
Adam Russak United States 7 50 0.2× 27 0.1× 212 1.7× 37 0.4× 34 0.4× 8 896
Inès Saab France 6 248 0.9× 11 0.1× 111 0.9× 77 0.8× 44 0.5× 6 621
Jeevesh Kapur Singapore 12 169 0.6× 76 0.4× 8 0.1× 52 0.5× 84 0.9× 34 477
Alyssa T. Watanabe United States 9 140 0.5× 54 0.3× 17 0.1× 18 0.2× 114 1.2× 18 330
Karen Conner United States 7 189 0.7× 23 0.1× 66 0.5× 77 0.8× 10 0.1× 15 324
Cameron Hassani United States 12 279 1.0× 198 1.0× 7 0.1× 11 0.1× 89 0.9× 29 595
Andrew Kesselman United States 8 81 0.3× 61 0.3× 32 0.3× 18 0.2× 28 0.3× 34 206

Countries citing papers authored by Arash Bedayat

Since Specialization
Citations

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

Fields of papers citing papers by Arash Bedayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Bedayat

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Bedayat. A scholar is included among the top collaborators of Arash Bedayat 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 Arash Bedayat. Arash Bedayat 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.
Tavakoli, Neda, Zahra Shakeri Hossein Abad, Arash Bedayat, et al.. (2025). Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges. Radiology. 317(2). e242961–e242961.
2.
Bradley, D. J., et al.. (2025). Advanced imaging for pre- and post-operative evaluation of tetralogy of Fallot. Clinical Imaging. 120. 110432–110432.
3.
Hassani, Cameron, et al.. (2024). Evaluation of aortic stent endoleaks in the renally impaired patient with ferumoxytol-enhanced MR angiography. Clinical Imaging. 118. 110383–110383.
4.
Kooraki, Soheil, Melina Hosseiny, Amir Ali Rahsepar, et al.. (2024). Evaluation of ChatGPT-Generated Educational Patient Pamphlets for Common Interventional Radiology Procedures. Academic Radiology. 31(11). 4548–4553. 4 indexed citations
5.
Sun, Shawn X., et al.. (2024). The Current Landscape of Artificial Intelligence in Imaging for Transcatheter Aortic Valve Replacement. Current Radiology Reports. 12(11-12). 113–120. 4 indexed citations
6.
7.
Kooraki, Soheil, et al.. (2023). MR Vascular Imaging: Update on New Techniques and Protocols. Current Radiology Reports. 11(6). 81–95. 3 indexed citations
8.
Hassani, Cameron, et al.. (2023). Cardiac Outpouchings: Practical Approach to Normal Variants and Pathologic Conditions at CT and MRI. Radiographics. 43(5). e220063–e220063. 1 indexed citations
9.
Rivenson, Yair, Ashley E. Prosper, Kevin de Haan, et al.. (2021). Automatic segmentation of peripheral arteries and veins in ferumoxytol‐enhanced MR angiography. Magnetic Resonance in Medicine. 87(2). 984–998. 5 indexed citations
10.
Bydder, Mark, Arash Bedayat, Ashley E. Prosper, et al.. (2021). Temporally aware volumetric generative adversarial network‐based MR image reconstruction with simultaneous respiratory motion compensation: Initial feasibility in 3D dynamic cine cardiac MRI. Magnetic Resonance in Medicine. 86(5). 2666–2683. 9 indexed citations
11.
Bedayat, Arash, Cameron Hassani, Jason Chiang, et al.. (2020). Abdominal wall and pelvic hernias: classic and unusual hernias and their mimics. Clinical Imaging. 64. 57–66. 1 indexed citations
12.
Bedayat, Arash, Cameron Hassani, Ashley E. Prosper, et al.. (2020). Recent Innovations in Renal Vascular Imaging. Radiologic Clinics of North America. 58(4). 781–796. 2 indexed citations
13.
Chalian, Hamid, et al.. (2020). Chronic airspace disease: Review of the causes and key computed tomography findings. World Journal of Radiology. 12(4). 29–47. 2 indexed citations
14.
Bedayat, Arash, et al.. (2020). CT evaluation of unrepaired/incidental congenital cardiovascular diseases in adults. Diagnostic and Interventional Imaging. 102(4). 213–224. 2 indexed citations
15.
Bedayat, Arash, Tianrun Cai, Elizabeth George, et al.. (2015). Association Between Confidence Level of Acute Pulmonary Embolism Diagnosis on CTPA images and Clinical Outcomes. Academic Radiology. 22(12). 1555–1561. 4 indexed citations
16.
George, Elizabeth, Kanako K. Kumamaru, Nina Ghosh, et al.. (2013). Computed Tomography and Echocardiography in Patients With Acute Pulmonary Embolism. Journal of Thoracic Imaging. 29(1). W7–W12. 37 indexed citations
17.
Bedayat, Arash, Elizabeth George, Andetta R. Hunsaker, et al.. (2013). Malignancy and Acute Pulmonary Embolism. Journal of Thoracic Imaging. 28(3). 196–201. 11 indexed citations
18.
Kumamaru, Kanako K., Andetta R. Hunsaker, Nicole Wake, et al.. (2011). The Variability in Prognostic Values of Right Ventricular-to-Left Ventricular Diameter Ratios Derived From Different Measurement Methods on Computed Tomography Pulmonary Angiography. Journal of Thoracic Imaging. 27(5). 331–336. 21 indexed citations
19.
Bedayat, Arash, Frank J. Rybicki, Kanako K. Kumamaru, et al.. (2011). Reduced exposure using asymmetric cone beam processing for wide area detector cardiac CT. International journal of cardiac imaging. 28(2). 381–388. 20 indexed citations
20.
Otukesh, Hasan, Seyed‐Mohammad Fereshtehnejad, Rozita Hoseini, et al.. (2008). Urine macrophage migration inhibitory factor (MIF) in children with urinary tract infection: a possible predictor of acute pyelonephritis. Pediatric Nephrology. 24(1). 105–111. 16 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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