Raymond W. Sze

3.9k total citations
101 papers, 2.9k citations indexed

About

Raymond W. Sze is a scholar working on Surgery, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Raymond W. Sze has authored 101 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 22 papers in Genetics and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Raymond W. Sze's work include Craniofacial Disorders and Treatments (17 papers), Cleft Lip and Palate Research (13 papers) and Radiology practices and education (12 papers). Raymond W. Sze is often cited by papers focused on Craniofacial Disorders and Treatments (17 papers), Cleft Lip and Palate Research (13 papers) and Radiology practices and education (12 papers). Raymond W. Sze collaborates with scholars based in United States, Canada and Mexico. Raymond W. Sze's co-authors include Miqin Zhang, Conroy Sun, Richard G. Ellenbogen, Jonathan Gunn, Jim Olson, Donghoon Lee, Omid Veiseh, Michael L. Cunningham, Stacey Hansen and Richard A. Hopper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and PLoS ONE.

In The Last Decade

Raymond W. Sze

98 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond W. Sze United States 25 952 743 723 506 485 101 2.9k
Ramin A. Morshed United States 27 687 0.7× 613 0.8× 673 0.9× 247 0.5× 135 0.3× 130 2.6k
Richard Luong United States 30 1.0k 1.1× 299 0.4× 823 1.1× 306 0.6× 152 0.3× 61 3.5k
Osamu Ishida Japan 36 657 0.7× 840 1.1× 1.2k 1.6× 1.2k 2.3× 177 0.4× 284 5.2k
Zhili Wang China 32 1.0k 1.1× 284 0.4× 1.2k 1.7× 163 0.3× 200 0.4× 166 3.4k
Aron Popovtzer Israel 28 823 0.9× 513 0.7× 467 0.6× 573 1.1× 93 0.2× 134 2.9k
Harald Ittrich Germany 31 969 1.0× 541 0.7× 1.1k 1.5× 509 1.0× 80 0.2× 98 4.1k
Dominik von Elverfeldt Germany 35 871 0.9× 562 0.8× 689 1.0× 179 0.4× 102 0.2× 118 4.3k
Yuji Morimoto Japan 33 1.4k 1.4× 689 0.9× 739 1.0× 806 1.6× 96 0.2× 167 4.0k
Joseph M. Piepmeier United States 30 548 0.6× 679 0.9× 947 1.3× 747 1.5× 216 0.4× 84 4.0k
Xiaoli Lan China 38 1.6k 1.7× 527 0.7× 1.3k 1.8× 578 1.1× 137 0.3× 263 5.0k

Countries citing papers authored by Raymond W. Sze

Since Specialization
Citations

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

Fields of papers citing papers by Raymond W. Sze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond W. Sze. 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 Raymond W. Sze. The network helps show where Raymond W. Sze may publish in the future.

Co-authorship network of co-authors of Raymond W. Sze

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond W. Sze. A scholar is included among the top collaborators of Raymond W. Sze 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 Raymond W. Sze. Raymond W. Sze 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.
Sze, Raymond W., et al.. (2024). Integrating human factors engineering into your pediatric radiology practice. Pediatric Radiology. 54(6). 936–943. 1 indexed citations
2.
Ouyang, Minhui, Hao Huang, Arastoo Vossough, et al.. (2023). A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children. Journal of Digital Imaging. 36(4). 1302–1313. 8 indexed citations
3.
Hegde, Sudeep, et al.. (2023). A proactive learning approach toward building adaptive capacity during COVID-19: A radiology case study. Applied Ergonomics. 110. 104009–104009. 1 indexed citations
4.
Sotardi, Susan, Michael L. Francavilla, Minhui Ouyang, et al.. (2023). Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model. Journal of Digital Imaging. 36(4). 1419–1430. 2 indexed citations
5.
White, Ammie M., et al.. (2022). Results of a Virtual Multi-Institutional Program for Quality Improvement Training and Project Facilitation. Journal of the American College of Radiology. 20(2). 173–182. 5 indexed citations
6.
Sze, Raymond W., et al.. (2022). Artificial Intelligence Curriculum Needs Assessment for a Pediatric Radiology Fellowship Program: What, How, and Why?. Academic Radiology. 30(2). 349–358. 6 indexed citations
7.
Schwartz, Erin Simon, et al.. (2021). A Pilot Program of Virtual Ergonomics Consults for Radiology Staff Working From Home. Journal of the American College of Radiology. 18(12). 1643–1645. 4 indexed citations
8.
Moore, Michael J., Ramesh S. Iyer, Nabeel Sarwani, & Raymond W. Sze. (2021). Artificial intelligence development in pediatric body magnetic resonance imaging: best ideas to adapt from adults. Pediatric Radiology. 52(2). 367–373. 8 indexed citations
10.
Edgar, J. Christopher, et al.. (2020). Can Radiology Technologists be Trained to Measure Leg Length Discrepancies as Accurately as Pediatric Radiologists?. Academic Radiology. 29(1). 51–55. 2 indexed citations
11.
Blumfield, Einat, Govind B. Chavhan, Aparna Joshi, et al.. (2020). A primer for pediatric radiologists on infection control in an era of COVID-19. Pediatric Radiology. 50(9). 1191–1204. 4 indexed citations
12.
Trahan, Sylvain, et al.. (2019). Abstract No. 560 Fabrication of a custom pediatric phantom for pediatric interventional radiology endovascular simulation and training: technical aspects. Journal of Vascular and Interventional Radiology. 30(3). S242–S242. 1 indexed citations
13.
Ngo, Anh‐Vu, A. Luana Stanescu, David W. Swenson, et al.. (2019). Practical considerations when implementing peer learning conferences. Pediatric Radiology. 49(4). 526–530. 7 indexed citations
14.
Fernandes, Rohan, Matthieu Dumont, Sridevi Yadavilli, Raymond W. Sze, & Javad Nazarian. (2014). Manganese-containing Prussian blue nanoparticles for imaging of pediatric brain tumors. International Journal of Nanomedicine. 9. 2581–2581. 38 indexed citations
15.
Zhao, Qian, Kazunori Okada, Kenneth N. Rosenbaum, et al.. (2014). Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA. Medical Image Analysis. 18(5). 699–710. 52 indexed citations
16.
Degnan, Andrew J., Dorothy Bulas, & Raymond W. Sze. (2010). Ileal Atresia with Meconium Peritonitis: Fetal MRI Evaluation. Journal of Radiology Case Reports. 4(3). 15–8. 2 indexed citations
17.
Ruíz-Correa, Salvador, Jacqueline R. Starr, Kathleen A. Kapp‐Simon, et al.. (2008). NEW SEVERITY INDICES FOR QUANTIFYING SINGLE-SUTURE METOPIC CRANIOSYNOSTOSIS. Neurosurgery. 63(2). 318–325. 36 indexed citations
18.
Veiseh, Mandana, S-Bahram Bahrami, Miqin Zhang, et al.. (2007). Tumor Paint: A Chlorotoxin:Cy5.5 Bioconjugate for Intraoperative Visualization of Cancer Foci. Cancer Research. 67(14). 6882–6888. 350 indexed citations
19.
Ruíz-Correa, Salvador, et al.. (2005). New Scaphocephaly Severity Indices of Sagittal Craniosynostosis: A Comparative Study with Cranial Index Quantifications. The Cleft Palate-Craniofacial Journal. 10 indexed citations
20.
Sze, Raymond W., Bernard J. Dardzinski, Scott Dunn, et al.. (2001). Three-dimensional MR microscopy of a transgenic mouse model of dilated cardiomyopathy. Pediatric Radiology. 31(2). 55–61. 7 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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