Kevin Royalty

987 total citations
36 papers, 787 citations indexed

About

Kevin Royalty is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin Royalty has authored 36 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin Royalty's work include Advanced X-ray and CT Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers) and Radiation Dose and Imaging (10 papers). Kevin Royalty is often cited by papers focused on Advanced X-ray and CT Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers) and Radiation Dose and Imaging (10 papers). Kevin Royalty collaborates with scholars based in United States, Germany and China. Kevin Royalty's co-authors include Charles M. Strother, Kari Pulfer, David Niemann, Yu Deuerling‐Zheng, M. Zellerhoff, Sebastian Schäfer, B. Aagaard-Kienitz, Tobias Struffert, Azam Ahmed and Markus Kowarschik and has published in prestigious journals such as PLoS ONE, Stroke and IEEE Transactions on Medical Imaging.

In The Last Decade

Kevin Royalty

35 papers receiving 771 citations

Peers

Kevin Royalty
Yoshiko Sagara Japan
Robert Yeung Canada
Tom van Seeters Netherlands
Hong Gee Roh South Korea
I.M.J. van der Bom United States
Christian Taschner Germany
Seung Bae Hwang South Korea
Ammar Mallouhi Austria
Francesco Scomazzoni Italy
Jan Hendrik Buhk Germany
Yoshiko Sagara Japan
Kevin Royalty
Citations per year, relative to Kevin Royalty Kevin Royalty (= 1×) peers Yoshiko Sagara

Countries citing papers authored by Kevin Royalty

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Royalty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Royalty

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Royalty. A scholar is included among the top collaborators of Kevin Royalty 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 Kevin Royalty. Kevin Royalty 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.
Ghosn, Mario, Fourat Ridouani, Kevin Royalty, et al.. (2022). Augmented fluoroscopy guided transbronchial pulmonary microwave ablation using a steerable sheath. Translational Lung Cancer Research. 11(2). 150–164. 7 indexed citations
2.
3.
Kennedy, Tabassum A., Nathan T. Connell, Timothy P. Szczykutowicz, et al.. (2016). Flat-Panel CT for Cochlear Implant Electrode Imaging. Otology & Neurotology. 37(10). 1646–1653. 15 indexed citations
4.
Li, Yinsheng, Ke Li, Sebastian Schäfer, et al.. (2016). C-arm cone beam CT perfusion imaging using the SMART-RECON algorithm to improve temporal sampling density and temporal resolution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 97830U–97830U. 1 indexed citations
5.
Wu, Yijing, Tobias Struffert, Arnd Doerfler, et al.. (2016). C-Arm Conebeam CT Perfusion Imaging in the Angiographic Suite: A Comparison with Multidetector CT Perfusion Imaging. American Journal of Neuroradiology. 37(7). 1303–1309. 22 indexed citations
6.
Yang, Pengfei, Azam Ahmed, Sebastian Schäfer, et al.. (2015). Low-Dose Volume-of-Interest C-Arm CT Imaging of Intracranial Stents and Flow Diverters. American Journal of Neuroradiology. 37(4). 648–654. 6 indexed citations
7.
Sandoval-Garcia, Carolina, Kevin Royalty, Pengfei Yang, et al.. (2015). 4D DSA a new technique for arteriovenous malformation evaluation: a feasibility study. Journal of NeuroInterventional Surgery. 8(3). 300–304. 38 indexed citations
8.
Sandoval-Garcia, Carolina, Kevin Royalty, B. Aagaard-Kienitz, et al.. (2015). A Comparison of 4D DSA with 2D and 3D DSA in the Analysis of Normal Vascular Structures in a Canine Model. American Journal of Neuroradiology. 36(10). 1959–1963. 19 indexed citations
9.
Zhao, Wei, et al.. (2015). Patient-specific scatter correction for flat-panel detector-based cone-beam CT imaging. Physics in Medicine and Biology. 60(3). 1339–1365. 33 indexed citations
10.
Struffert, Tobias, et al.. (2014). Effective dose to patient measurements in flat-detector and multislice computed tomography: a comparison of applications in neuroradiology. European Radiology. 24(6). 1257–1265. 52 indexed citations
11.
Royalty, Kevin, Markus Kowarschik, Christopher Rohkohl, et al.. (2013). 4D Digital Subtraction Angiography: Implementation and Demonstration of Feasibility. American Journal of Neuroradiology. 34(10). 1914–1921. 79 indexed citations
12.
Royalty, Kevin, Michael Manhart, Kari Pulfer, et al.. (2013). C-Arm CT Measurement of Cerebral Blood Volume and Cerebral Blood Flow Using a Novel High-Speed Acquisition and a Single Intravenous Contrast Injection. American Journal of Neuroradiology. 34(11). 2131–2138. 40 indexed citations
13.
Yasuda, Ryuta, et al.. (2012). C-Arm CT Measurement of Cerebral Blood Volume Using Intra-Arterial Injection of Contrast Medium: An Experimental Study in Canines. American Journal of Neuroradiology. 33(9). 1696–1701. 10 indexed citations
14.
Yasuda, Ryuta, Anıl Arat, Charles M. Strother, et al.. (2011). Aneurysm Ostium Angle: A Predictor of the Need for Stent as Assistance for Endovascular Aneurysm Coiling in Internal Carotid Artery Sidewall Aneurysms. American Journal of Neuroradiology. 32(7). 1216–1220. 6 indexed citations
15.
Strother, Charles M., Yu Deuerling‐Zheng, Kevin Royalty, et al.. (2010). Parametric Color Coding of Digital Subtraction Angiography. American Journal of Neuroradiology. 31(5). 919–924. 99 indexed citations
16.
Yasuda, Ryuta, Charles M. Strother, Waro Taki, et al.. (2010). Aneurysm Volume-to-Ostium Area Ratio: A Parameter Useful for Discriminating the Rupture Status of Intracranial Aneurysms. Neurosurgery. 68(2). 310–318. 39 indexed citations
17.
Zellerhoff, M., Yu Deuerling‐Zheng, Charles M. Strother, et al.. (2009). Measurement of cerebral blood volume using angiographic C-arm systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7262. 72620H–72620H. 40 indexed citations
18.
Ahmed, Azeemuddin, M. Zellerhoff, Charles M. Strother, et al.. (2009). C-Arm CT Measurement of Cerebral Blood Volume: An Experimental Study in Canines. American Journal of Neuroradiology. 30(5). 917–922. 50 indexed citations
19.
Ahmed, Azam, C M Strother, Kari Pulfer, et al.. (2009). Impact of Intra-Arterial Injection Parameters on Arterial, Capillary, and Venous Time-Concentration Curves in a Canine Model. American Journal of Neuroradiology. 30(7). 1337–1341. 17 indexed citations
20.
Royalty, Kevin, et al.. (1990). Marfan syndrome. Postgraduate Medicine. 87(5). 229–236. 2 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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