F. W. Samuelson

4.2k total citations
53 papers, 657 citations indexed

About

F. W. Samuelson is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, F. W. Samuelson has authored 53 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in F. W. Samuelson's work include AI in cancer detection (16 papers), Digital Radiography and Breast Imaging (12 papers) and Medical Imaging Techniques and Applications (10 papers). F. W. Samuelson is often cited by papers focused on AI in cancer detection (16 papers), Digital Radiography and Breast Imaging (12 papers) and Medical Imaging Techniques and Applications (10 papers). F. W. Samuelson collaborates with scholars based in United States, Switzerland and Thailand. F. W. Samuelson's co-authors include Nicholas Petrick, Brandon D. Gallas, Rongping Zeng, Kyle J. Myers, Aldo Badano, Stephen J. Glick, Diksha Sharma, Andreu Badal, Christian Graff and Robert F. Wagner and has published in prestigious journals such as Medical Physics, Journal of the Optical Society of America A and BMC Medical Research Methodology.

In The Last Decade

F. W. Samuelson

45 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. W. Samuelson United States 11 292 209 183 117 116 53 657
Safoora Yousefi United States 5 457 1.6× 480 2.3× 107 0.6× 47 0.4× 174 1.5× 7 883
Jason W. Chan United States 16 410 1.4× 217 1.0× 271 1.5× 151 1.3× 45 0.4× 58 1.0k
José E. Velázquez Vega United States 7 414 1.4× 403 1.9× 114 0.6× 47 0.4× 153 1.3× 15 821
Yue Guan China 18 488 1.7× 97 0.5× 307 1.7× 61 0.5× 92 0.8× 47 895
D Thompson United States 18 105 0.4× 265 1.3× 101 0.6× 99 0.8× 126 1.1× 65 955
Guy Nir Canada 14 501 1.7× 438 2.1× 307 1.7× 253 2.2× 64 0.6× 26 966
Pooya Mobadersany United States 5 420 1.4× 432 2.1× 84 0.5× 45 0.4× 114 1.0× 9 716
Behnaz Abdollahi United States 8 207 0.7× 158 0.8× 101 0.6× 50 0.4× 96 0.8× 12 482
Darrin C. Edwards United States 11 155 0.5× 231 1.1× 62 0.3× 36 0.3× 92 0.8× 30 470
Sunan Cui United States 11 356 1.2× 158 0.8× 133 0.7× 103 0.9× 32 0.3× 18 574

Countries citing papers authored by F. W. Samuelson

Since Specialization
Citations

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

Fields of papers citing papers by F. W. Samuelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. W. Samuelson

This figure shows the co-authorship network connecting the top 25 collaborators of F. W. Samuelson. A scholar is included among the top collaborators of F. W. Samuelson 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 F. W. Samuelson. F. W. Samuelson 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.
Delfino, Jana G., et al.. (2025). Impact of Artificial Intelligence Triage on Radiologist Report Turnaround Time: Real-World Time Savings and Insights From Model Predictions. Journal of the American College of Radiology. 23(1). 63–73. 1 indexed citations
2.
Levine, Gary M., Weijie Chen, Berkman Sahiner, et al.. (2024). Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Systems. 108(3-4). 579–610. 2 indexed citations
3.
Zeng, Rongping, F. W. Samuelson, Diksha Sharma, et al.. (2020). Computational reader design and statistical performance evaluation of an in-silico imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammography. Journal of Medical Imaging. 7(4). 1–1. 9 indexed citations
4.
Abbey, Craig K., F. W. Samuelson, Rongping Zeng, et al.. (2020). Human observer templates for lesion discrimination tasks. PubMed. 11316. 28–28.
5.
Badano, Aldo, Christian Graff, Andreu Badal, et al.. (2018). Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial. JAMA Network Open. 1(7). e185474–e185474. 151 indexed citations
6.
Samuelson, F. W. & Craig K. Abbey. (2016). Using Relative Statistics and Approximate Disease Prevalence to Compare Screening Tests. The International Journal of Biostatistics. 12(2). 10 indexed citations
7.
Abbey, Craig K., Yirong Wu, Elizabeth S. Burnside, et al.. (2016). A utility/cost analysis of breast cancer risk prediction algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9787. 97871J–97871J. 1 indexed citations
8.
Badal, Andreu, Christian Graff, Rongping Zeng, F. W. Samuelson, & Aldo Badano. (2016). TU‐H‐CAMPUS‐IeP2‐04: Efficient Binary Tree Description of High Resolution Breast Models for in Silico Imaging. Medical Physics. 43(6Part37). 3781–3781. 1 indexed citations
9.
Abbey, Craig K., Brandon D. Gallas, John M. Boone, et al.. (2014). Comparative Statistical Properties of Expected Utility and Area Under the ROC Curve for Laboratory Studies of Observer Performance in Screening Mammography. Academic Radiology. 21(4). 481–490. 2 indexed citations
10.
Badano, Aldo, et al.. (2014). Analytic variance estimates of Swank and Fano factors. Medical Physics. 41(7). 72102–72102. 3 indexed citations
11.
Samuelson, F. W., et al.. (2014). The average receiver operating characteristic curve in multireader multicase imaging studies. British Journal of Radiology. 87(1040). 20140016–20140016. 29 indexed citations
12.
Samuelson, F. W. & Xin He. (2014). Comparison of semiparametric receiver operating characteristic models on observer data. Journal of Medical Imaging. 1(3). 31004–31004. 3 indexed citations
13.
Chen, Weijie, F. W. Samuelson, Brandon D. Gallas, et al.. (2013). On the assessment of the added value of new predictive biomarkers. BMC Medical Research Methodology. 13(1). 98–98. 23 indexed citations
14.
Abbey, Craig K., F. W. Samuelson, & Brandon D. Gallas. (2013). Statistical Power Considerations for a Utility Endpoint in Observer Performance Studies. Academic Radiology. 20(7). 798–806. 8 indexed citations
15.
Samuelson, F. W. & David G. Brown. (2011). Application of Cover's theorem to the evaluation of the performance of CI observers. Zenodo (CERN European Organization for Nuclear Research). 1020–1026. 4 indexed citations
16.
Popovici, Vlad, Weijie Chen, Brandon D. Gallas, et al.. (2010). Effect of training-sample size and classification difficulty on the accuracy of genomic predictors. Breast Cancer Research. 12(1). R5–R5. 155 indexed citations
17.
Paquerault, Sophie, F. W. Samuelson, Nicholas Petrick, Kyle J. Myers, & Robert C. Smith. (2009). Investigation of Reading Mode and Relative Sensitivity as Factors That Influence Reader Performance When Using Computer-Aided Detection Software. Academic Radiology. 16(9). 1095–1107. 5 indexed citations
18.
Samuelson, F. W. & Robert F. Wagner. (2005). Bootstrapped MRMC confidence intervals. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5749. 15–15. 3 indexed citations
19.
Atkins, R., B. L. Dingus, R. W. Laird, et al.. (2003). The Array Of Atmospheric Cherenkov Telescopes At Mila- gro To Study Cosmic Ray Composition. ICRC. 1(5). 221–52.
20.
Samuelson, F. W.. (2001). The cosmic ray Moon shadow seen by MILAGRO. International Cosmic Ray Conference. 2. 594.

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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