Stefano Young

1.3k total citations · 1 hit paper
20 papers, 939 citations indexed

About

Stefano Young is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Stefano Young has authored 20 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Biomedical Engineering. Recurrent topics in Stefano Young's work include Medical Imaging Techniques and Applications (12 papers), Advanced X-ray and CT Imaging (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Stefano Young is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Advanced X-ray and CT Imaging (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Stefano Young collaborates with scholars based in United States. Stefano Young's co-authors include Yogendra P. Chaubey, Peter H. Westfall, Michael F. McNitt‐Gray, Matthew S. Brown, Kyle J. Myers, Subok Park, Predrag R. Bakić, John M. Hoffman, Robert J. Jennings and Frédéric Noo and has published in prestigious journals such as Technometrics, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Stefano Young

19 papers receiving 914 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.

Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment

1993 688 citations Yogendra P. Chaubey, Peter H. Westfall et al. Technometrics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Young United States	8	239	180	163	140	130	20	939
Helga Wagner Austria	19	54 0.2×	404 2.2×	88 0.5×	150 1.1×	65 0.5×	106	1.5k
Brian M. Bot United States	27	98 0.4×	576 3.2×	431 2.6×	61 0.4×	83 0.6×	53	2.5k
Alison Callahan United States	22	113 0.5×	361 2.0×	42 0.3×	74 0.5×	27 0.2×	51	1.4k
Thomas Schlange Germany	21	98 0.4×	1.4k 7.7×	201 1.2×	79 0.6×	160 1.2×	32	2.7k
Jan‐Eric Litton Sweden	23	159 0.7×	298 1.7×	43 0.3×	13 0.1×	37 0.3×	45	1.4k
Jim Vaught United States	18	64 0.3×	420 2.3×	88 0.5×	82 0.6×	49 0.4×	38	1.3k
Qiwei Li China	24	55 0.2×	558 3.1×	80 0.5×	45 0.3×	105 0.8×	137	1.8k
Sheri D. Schully United States	23	62 0.3×	294 1.6×	84 0.5×	48 0.3×	30 0.2×	55	1.4k
Stylianos Serghiou United States	13	52 0.2×	175 1.0×	45 0.3×	66 0.5×	24 0.2×	23	1.0k
Seungyeoun Lee South Korea	16	52 0.2×	360 2.0×	74 0.5×	72 0.5×	18 0.1×	60	751

Countries citing papers authored by Stefano Young

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Young

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

All Works

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20 of 20 papers shown

Hoffman, John M., et al.. (2019). Technical Note: Design and implementation of a high‐throughput pipeline for reconstruction and quantitative analysis of CT image data. Medical Physics. 46(5). 2310–2322. 5 indexed citations

Hoffman, John M., Frédéric Noo, Stefano Young, Scott S. Hsieh, & Michael F. McNitt‐Gray. (2018). Technical Note: FreeCT_ICD: An open‐source implementation of a model‐based iterative reconstruction method using coordinate descent optimization for CT imaging investigations. Medical Physics. 45(8). 3591–3603. 5 indexed citations

Young, Stefano, Pechin Lo, Grace Kim, et al.. (2017). The effect of radiation dose reduction on computer-aided detection (CAD) performance in a low-dose lung cancer screening population. Medical Physics. 44(4). 1337–1346. 15 indexed citations

Hoffman, John M., Stefano Young, Frédéric Noo, & Michael F. McNitt‐Gray. (2016). Technical Note: FreeCT_wFBP: A robust, efficient, open‐source implementation of weighted filtered backprojection for helical, fan‐beam CT. Medical Physics. 43(3). 1411–1420. 27 indexed citations

Young, Stefano, et al.. (2016). Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features. Medical Physics. 43(8Part1). 4854–4865. 52 indexed citations

Hoffman, John M., Frédéric Noo, Kyle McMillan, Stefano Young, & Michael F. McNitt‐Gray. (2016). Assessing nodule detection on lung cancer screening CT: the effects of tube current modulation and model observer selection on detectability maps. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9787. 97870Q–97870Q. 2 indexed citations

Hoffman, John M., Frédéric Noo, Stefano Young, & Michael F. McNitt‐Gray. (2016). TH-AB-207A-09: Tailoring TCM Schemes to a Task: Evaluating the Impact of Customized TCM Profiles On Detection of Lung Nodules in Simulated CT Lung Cancer Screening. Medical Physics. 43(6Part44). 3861–3862. 1 indexed citations

Young, Stefano, John M. Hoffman, Frédéric Noo, & Michael F. McNitt‐Gray. (2016). SU‐F‐I‐49: Vendor‐Independent, Model‐Based Iterative Reconstruction On a Rotating Grid with Coordinate‐Descent Optimization for CT Imaging Investigations. Medical Physics. 43(6Part8). 3397–3398. 2 indexed citations

Young, Stefano, et al.. (2015). Variability in CT lung‐nodule volumetry: Effects of dose reduction and reconstruction methods. Medical Physics. 42(5). 2679–2689. 25 indexed citations

10.

Kim, Hyun J., Pechin Lo, Stefano Young, et al.. (2015). Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features. IEEE Transactions on Medical Imaging. 35(1). 144–157. 34 indexed citations

11.

Young, Stefano, et al.. (2015). SU-E-I-35: Development of Stand-Alone Filtered Backprojection and Iterative Reconstruction Methods Using the Raw CT Data Exported From Clinical Lung Screening Scans. Medical Physics. 42(6Part6). 3249–3249. 1 indexed citations

12.

Young, Stefano & Michael F. McNitt‐Gray. (2014). Estimating lesion volume in low-dose chest CT: How low can we go?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 903306–903306. 2 indexed citations

13.

Young, Stefano, Predrag R. Bakić, Kyle J. Myers, Robert J. Jennings, & Subok Park. (2013). A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data. Medical Physics. 40(5). 51914–51914. 55 indexed citations

14.

Young, Stefano. (2012). TASK-BASED ASSESSMENT AND OPTIMIZATION OF DIGITAL BREAST TOMOSYNTHESIS. UA Campus Repository (The University of Arizona). 2 indexed citations

15.

Park, Subok, Andreu Badal, Stefano Young, & Kyle J. Myers. (2012). A mathematical framework for including various sources of variability in a task-based assessment of digital breast tomosynthesis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8313. 83134S–83134S. 1 indexed citations

16.

Young, Stefano, Matthew A. Kupinski, & Abhinav K. Jha. (2010). Estimating Signal Detectability in a Model Diffuse Optical Imaging System. 50. BSuD26–BSuD26. 1 indexed citations

17.

Young, Stefano, Predrag R. Bakić, Kyle J. Myers, & Subok Park. (2010). Performance Tradeoffs in a Model Breast Tomosynthesis System. Imaging and Applied Optics Congress. DTuA3–DTuA3. 2 indexed citations

18.

Young, Stefano, et al.. (2009). Estimating breast tomosynthesis performance in detection tasks with variable-background phantoms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7258. 72580O–72580O. 17 indexed citations

19.

Allan, Graham, et al.. (2004). Optical and Thermal Analyses of High-Power Laser Diode Arrays. NASA Technical Reports Server (NASA). 2 indexed citations

20.

Chaubey, Yogendra P., Peter H. Westfall, & Stefano Young. (1993). Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment. Technometrics. 35(4). 450–450. 688 indexed citations breakdown →

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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