Luciano M. Prevedello

5.4k total citations · 1 hit paper
100 papers, 3.4k citations indexed

About

Luciano M. Prevedello is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Luciano M. Prevedello has authored 100 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Surgery and 21 papers in Biomedical Engineering. Recurrent topics in Luciano M. Prevedello's work include Radiology practices and education (32 papers), Radiation Dose and Imaging (18 papers) and Artificial Intelligence in Healthcare and Education (17 papers). Luciano M. Prevedello is often cited by papers focused on Radiology practices and education (32 papers), Radiation Dose and Imaging (18 papers) and Artificial Intelligence in Healthcare and Education (17 papers). Luciano M. Prevedello collaborates with scholars based in United States, Brazil and Canada. Luciano M. Prevedello's co-authors include Ramin Khorasani, Katherine P. Andriole, Aaron D. Sodickson, Richard W. Hanson, Richard D. Nawfel, Marc Kohli, J. Raymond Geis, Ross W. Filice, Ivan K. Ip and Barbaros S. Erdal and has published in prestigious journals such as PLoS ONE, Radiology and The American Journal of Medicine.

In The Last Decade

Luciano M. Prevedello

96 papers receiving 3.3k citations

Hit Papers

align trajectories

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.

Recurrent CT, Cumulative Radiation Exposure, and Associated Radiation-induced Cancer Risks from CT of Adults

2009 767 citations Aaron D. Sodickson, Katherine P. Andriole et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luciano M. Prevedello United States	27	2.1k	723	590	496	472	100	3.4k
Katherine P. Andriole United States	28	1.9k 0.9×	696 1.0×	346 0.6×	985 2.0×	315 0.7×	131	3.4k
Adrian P. Brady Ireland	23	1.4k 0.6×	423 0.6×	567 1.0×	393 0.8×	283 0.6×	85	2.3k
Synho Do United States	27	2.5k 1.2×	1.5k 2.1×	664 1.1×	486 1.0×	307 0.7×	74	3.8k
Eli Konen Israel	40	1.6k 0.8×	490 0.7×	469 0.8×	1.0k 2.1×	1.2k 2.6×	182	4.8k
Carol C. Wu United States	32	1.8k 0.8×	417 0.6×	470 0.8×	1.9k 3.9×	587 1.2×	156	4.2k
Daniel Pinto dos Santos Germany	28	1.9k 0.9×	748 1.0×	1.2k 2.1×	530 1.1×	431 0.9×	154	3.5k
Jean Jeudy United States	30	1.1k 0.5×	247 0.3×	280 0.5×	787 1.6×	497 1.1×	127	2.8k
Peipei Pang China	26	2.9k 1.4×	538 0.7×	223 0.4×	798 1.6×	234 0.5×	80	3.9k
Keith J. Dreyer United States	27	2.4k 1.1×	670 0.9×	1.3k 2.2×	471 0.9×	193 0.4×	99	3.7k
Emanuele Neri Italy	33	2.0k 0.9×	651 0.9×	384 0.7×	1.1k 2.2×	1.1k 2.3×	277	4.4k

Countries citing papers authored by Luciano M. Prevedello

Since Specialization

Citations

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

Fields of papers citing papers by Luciano M. Prevedello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luciano M. Prevedello. 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 Luciano M. Prevedello. The network helps show where Luciano M. Prevedello may publish in the future.

Co-authorship network of co-authors of Luciano M. Prevedello

This figure shows the co-authorship network connecting the top 25 collaborators of Luciano M. Prevedello. A scholar is included among the top collaborators of Luciano M. Prevedello 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 Luciano M. Prevedello. Luciano M. Prevedello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Linguraru, Marius George, Spyridon Bakas, Mariam Aboian, et al.. (2024). Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology Artificial Intelligence. 6(4). e240225–e240225. 12 indexed citations

Ball, Robyn L., Luciano M. Prevedello, Ferco H. Berger, et al.. (2024). RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes. Radiology Artificial Intelligence. 7(1). e240334–e240334. 1 indexed citations

Prevedello, Luciano M., et al.. (2024). Real-time intraoperative ultrasound imaging of the posterior pituitary gland during endoscopic endonasal approach. Acta Neurochirurgica. 166(1). 456–456. 2 indexed citations

Kitamura, Felipe, Luciano M. Prevedello, Errol Colak, et al.. (2024). Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology Artificial Intelligence. 6(3). e230227–e230227. 6 indexed citations

Lee, Ghee Rye, Adam E. Flanders, Felipe Kitamura, et al.. (2024). Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiology Artificial Intelligence. 6(1). e230256–e230256. 4 indexed citations

Wagner, Daniel T., Kevin A. Peng, Sean G. Ryan, et al.. (2023). Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges. Diagnostics. 13(16). 2670–2670. 11 indexed citations

Dikici, Engin, et al.. (2023). Prediction of model generalizability for unseen data: Methodology and case study in brain metastases detection in T1-Weighted contrast-enhanced 3D MRI. Computers in Biology and Medicine. 159. 106901–106901. 1 indexed citations

Erdal, Barbaros S., Mutlu Demirer, Kevin J. Little, et al.. (2020). Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?. PLoS ONE. 15(10). e0240184–e0240184. 17 indexed citations

Shih, George, Carol C. Wu, Safwan S. Halabi, et al.. (2019). Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia. Radiology Artificial Intelligence. 1(1). e180041–e180041. 181 indexed citations

10.

Demirer, Mutlu, Sema Candemir, Vikash Gupta, et al.. (2019). A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence. Radiology Artificial Intelligence. 1(6). e180095–e180095. 24 indexed citations

11.

Fiorda‐Diaz, Juan, Suren Soghomonyan, Mahmoud Abdel‐Rasoul, et al.. (2019). A prospective randomized clinical trial to evaluate the impact of intraoperative ventilation with high oxygen content on the extent of postoperative pneumocephalus in patients undergoing craniotomies. British Journal of Neurosurgery. 33(2). 119–124. 2 indexed citations

12.

Prevedello, Luciano M., Safwan S. Halabi, George Shih, et al.. (2019). Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions. Radiology Artificial Intelligence. 1(1). e180031–e180031. 107 indexed citations

13.

Halabi, Safwan S., Luciano M. Prevedello, Jayashree Kalpathy–Cramer, et al.. (2018). The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 290(2). 498–503. 283 indexed citations

14.

Erdal, Barbaros S., Luciano M. Prevedello, Mutlu Demirer, et al.. (2017). Radiology and Enterprise Medical Imaging Extensions (REMIX). Journal of Digital Imaging. 31(1). 91–106. 9 indexed citations

15.

Filho, Leo F. S. Ditzel, et al.. (2017). Newly Diagnosed Sellar Tumors in Patients with Cancer: A Diagnostic Challenge and Management Dilemma. World Neurosurgery. 106. 254–265. 19 indexed citations

16.

Prevedello, Luciano M.. (2014). Advances in Computed Tomography Evaluation of Skull Base Diseases. International Archives of Otorhinolaryngology. 18(S 02). S123–S126. 4 indexed citations

17.

Lacson, Ronilda, Luciano M. Prevedello, Katherine P. Andriole, et al.. (2012). Factors Associated With Radiologists' Adherence to Fleischner Society Guidelines for Management of Pulmonary Nodules. Journal of the American College of Radiology. 9(7). 468–473. 73 indexed citations

18.

Prevedello, Luciano M., Ali S. Raja, Richard D. Zane, et al.. (2012). Variation in Use of Head Computed Tomography by Emergency Physicians. The American Journal of Medicine. 125(4). 356–364. 43 indexed citations

19.

Sodickson, Aaron D., Katherine P. Andriole, Luciano M. Prevedello, et al.. (2009). Recurrent CT, Cumulative Radiation Exposure, and Associated Radiation-induced Cancer Risks from CT of Adults. Radiology. 251(1). 175–184. 767 indexed citations breakdown →

20.

Otero, Hansel J., Jyothi P. Jagannathan, Luciano M. Prevedello, et al.. (2009). CT and PET/CT Findings of T-Cell Lymphoma. American Journal of Roentgenology. 193(2). 349–358. 27 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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