Kyle J. Myers

7.4k total citations · 3 hit papers
186 papers, 5.2k citations indexed

About

Kyle J. Myers is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Kyle J. Myers has authored 186 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Radiology, Nuclear Medicine and Imaging, 66 papers in Pulmonary and Respiratory Medicine and 62 papers in Biomedical Engineering. Recurrent topics in Kyle J. Myers's work include Medical Imaging Techniques and Applications (84 papers), Advanced X-ray and CT Imaging (56 papers) and Digital Radiography and Breast Imaging (45 papers). Kyle J. Myers is often cited by papers focused on Medical Imaging Techniques and Applications (84 papers), Advanced X-ray and CT Imaging (56 papers) and Digital Radiography and Breast Imaging (45 papers). Kyle J. Myers collaborates with scholars based in United States, United Kingdom and Ireland. Kyle J. Myers's co-authors include Harrison H. Barrett, S Rathee, Rongping Zeng, Jannick P. Rolland, Jie Yao, Aldo Badano, Brandon D. Gallas, Nicholas Petrick, Robert F. Wagner and Marios A. Gavrielides and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kyle J. Myers

175 papers receiving 5.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Foundations of Image Science

2004 728 citations Harrison H. Barrett, Kyle J. Myers et al. Medical Physics profile →
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential

2023 220 citations Chuang Niu, Kyle J. Myers et al. profile →
Development of metaverse for intelligent healthcare

2022 219 citations Ge Wang, Andreu Badal et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle J. Myers United States	34	3.7k	2.2k	1.4k	741	578	186	5.2k
Kensaku Mori Japan	43	2.6k 0.7×	1.2k 0.5×	1.5k 1.1×	1.2k 1.6×	288 0.5×	399	6.7k
Konstantina S. Nikita Greece	42	1.5k 0.4×	2.2k 1.0×	820 0.6×	866 1.2×	280 0.5×	338	6.5k
Jing Wang China	42	4.6k 1.3×	3.1k 1.4×	941 0.7×	668 0.9×	1.3k 2.3×	392	7.1k
Yang Lei United States	39	3.6k 1.0×	1.8k 0.8×	1.0k 0.7×	934 1.3×	1.7k 2.9×	379	6.2k
Robert F. Wagner United States	36	3.8k 1.0×	2.5k 1.1×	912 0.6×	874 1.2×	302 0.5×	167	6.1k
Aldo Badano United States	26	1.8k 0.5×	1.0k 0.5×	1.3k 0.9×	416 0.6×	430 0.7×	222	2.9k
Kevin L. Moore United States	47	1.0k 0.3×	1.4k 0.6×	613 0.4×	563 0.8×	1.1k 1.9×	264	9.6k
Lena Maier‐Hein Germany	34	1.4k 0.4×	1.6k 0.7×	508 0.4×	454 0.6×	257 0.4×	171	4.3k
Yang Chen China	44	4.1k 1.1×	3.3k 1.5×	534 0.4×	967 1.3×	327 0.6×	360	8.0k
Carey E. Floyd United States	39	3.0k 0.8×	1.6k 0.7×	1.0k 0.7×	1.5k 2.0×	998 1.7×	206	5.0k

Countries citing papers authored by Kyle J. Myers

Since Specialization

Citations

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

Fields of papers citing papers by Kyle J. Myers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle J. Myers. 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 Kyle J. Myers. The network helps show where Kyle J. Myers may publish in the future.

Co-authorship network of co-authors of Kyle J. Myers

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle J. Myers. A scholar is included among the top collaborators of Kyle J. Myers 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 Kyle J. Myers. Kyle J. Myers 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

Myers, Kyle J., et al.. (2024). Synthetic ultrasound images to benchmark echocardiography-based biomechanics. PubMed. 2024. 1–4.

Jirapatnakul, Artit, et al.. (2024). Assessing the impact of nodule features and software algorithm on pulmonary nodule measurement uncertainty for nodules sized 20 mm or less. Quantitative Imaging in Medicine and Surgery. 14(7). 5057–5071. 1 indexed citations

Drukker, Karen, Berkman Sahiner, Grace Hyun J. Kim, et al.. (2024). MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. Journal of Medical Imaging. 11(2). 24504–24504. 1 indexed citations

Whitney, Heather M., Karen Drukker, Berkman Sahiner, et al.. (2023). Sequestration methodology in practice through evaluation of joint demographic distributions of 54,185 patients in the Medical Imaging and Data Resource Center (MIDRC) data commons. 7–7. 1 indexed citations

Drukker, Karen, Berkman Sahiner, Grace H. Kim, et al.. (2023). Assistance tools for the evaluation of machine learning algorithm performance: the decision tree based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. 34. 12–12. 2 indexed citations

Whitney, Heather M., Kyle J. Myers, Karen Drukker, et al.. (2023). Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. Journal of Medical Imaging. 10(6). 61105–61105. 4 indexed citations

Wang, Ge, Andreu Badal, Xun Jia, et al.. (2022). Development of metaverse for intelligent healthcare. Nature Machine Intelligence. 4(11). 922–929. 219 indexed citations breakdown →

Vaishnav, J. Y., et al.. (2020). CT metal artifact reduction algorithms: Toward a framework for objective performance assessment. Medical Physics. 47(8). 3344–3355. 7 indexed citations

Vaishnav, J. Y., et al.. (2014). Objective assessment of image quality and dose reduction in CT iterative reconstruction. Medical Physics. 41(7). 71904–71904. 98 indexed citations

10.

Gavrielides, Marios A., Qin Li, Rongping Zeng, et al.. (2013). Minimum Detectable Change in Lung Nodule Volume in a Phantom CT Study. Academic Radiology. 20(11). 1364–1370. 16 indexed citations

11.

He, Xin, F. W. Samuelson, Brandon D. Gallas, Berkman Sahiner, & Kyle J. Myers. (2013). The equivalence of a human observer and an ideal observer in binary diagnostic tasks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8673. 86730E–86730E. 5 indexed citations

12.

Zeng, Rongping, Nicholas Petrick, Marios A. Gavrielides, & Kyle J. Myers. (2011). Approximations of noise covariance in multi-slice helical CT scans: impact on lung nodule size estimation. Physics in Medicine and Biology. 56(19). 6223–6242. 15 indexed citations

13.

Freed, Melanie, Jacco A. de Zwart, Jennifer T. Loud, et al.. (2011). An anthropomorphic phantom for quantitative evaluation of breast MRI. Medical Physics. 38(2). 743–753. 36 indexed citations

14.

Park, Subok, et al.. (2007). 15.2: Distinguished Paper : Assessment of Temporal Blur‐Reduction Methods Using a Computational Observer that Predicts Human Performance. SID Symposium Digest of Technical Papers. 38(1). 967–970. 1 indexed citations

15.

Barrett, Harrison H. & Kyle J. Myers. (2007). Statistical characterization of radiological images: basic principles and recent progress. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6510. 651002–651002. 4 indexed citations

16.

Kyprianou, Iacovos S., Arundhuti Ganguly, Stephen Rudin, et al.. (2005). Efficiency of the human observer compared to an ideal observer based on a generalized NEQ which incorporates scatter and geometric unsharpness: evaluation with a 2AFC experiment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5749. 251–251. 12 indexed citations

17.

Badano, Aldo, et al.. (2004). Lubberts effect in columnar phosphors. Medical Physics. 31(11). 3122–3131. 50 indexed citations

18.

Fiete, Robert D., et al.. (1987). Psychophysical Validation of the Hotelling Trace Criterion as a Metric for System Performance. Proceedings of SPIE - The International Society for Optical Engineering. 767. 298–305. 3 indexed citations

19.

Fiete, Robert D., Harrison H. Barrett, Warren E. Smith, & Kyle J. Myers. (1986). Psychophysical study to test the ability of the hoteling trace criterion to predict human performance (A). 3. 126. 8 indexed citations

20.

Myers, Kyle J.. (1985). Visual Perception in Correlated Noise. PhDT. 11 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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