William H. Moore

4.0k total citations
144 papers, 2.6k citations indexed

About

William H. Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, William H. Moore has authored 144 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Radiology, Nuclear Medicine and Imaging, 48 papers in Pulmonary and Respiratory Medicine and 34 papers in Biomedical Engineering. Recurrent topics in William H. Moore's work include Lung Cancer Diagnosis and Treatment (34 papers), Medical Imaging Techniques and Applications (27 papers) and Advanced X-ray and CT Imaging (25 papers). William H. Moore is often cited by papers focused on Lung Cancer Diagnosis and Treatment (34 papers), Medical Imaging Techniques and Applications (27 papers) and Advanced X-ray and CT Imaging (25 papers). William H. Moore collaborates with scholars based in United States, China and United Kingdom. William H. Moore's co-authors include Thomas V. Bilfinger, Zhengrong Liang, Hao Han, Hongbing Lu, Gerald E. Loeb, Alla Zemlyak, Jianhua Ma, Fangfang Han, Bowen Song and Lihong Li and has published in prestigious journals such as Scientific Reports, Radiology and CHEST Journal.

In The Last Decade

William H. Moore

137 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William H. Moore United States 26 974 927 613 210 179 144 2.6k
Kingshuk Roy Choudhury United States 37 1.7k 1.7× 900 1.0× 848 1.4× 653 3.1× 29 0.2× 145 4.4k
Christopher R. B. Merritt United States 26 769 0.8× 413 0.4× 585 1.0× 430 2.0× 28 0.2× 78 2.6k
Huijun Chen China 32 653 0.7× 689 0.7× 182 0.3× 257 1.2× 28 0.2× 174 3.1k
Amit Gupta United States 25 1.5k 1.6× 836 0.9× 742 1.2× 413 2.0× 79 0.4× 200 3.2k
Chandra M. Sehgal United States 37 1.7k 1.8× 762 0.8× 2.1k 3.5× 583 2.8× 34 0.2× 165 4.6k
Paola Taroni Italy 46 3.7k 3.8× 1.0k 1.1× 3.8k 6.2× 211 1.0× 79 0.4× 233 6.2k
K. Uéda Japan 37 772 0.8× 400 0.4× 219 0.4× 748 3.6× 58 0.3× 178 4.6k
Norio Takahashi Japan 33 778 0.8× 445 0.5× 187 0.3× 332 1.6× 21 0.1× 260 3.7k
Maurice C. G. Aalders Netherlands 36 1.3k 1.3× 1.2k 1.2× 2.5k 4.2× 518 2.5× 49 0.3× 148 5.1k
Yoichi Watanabe Japan 27 616 0.6× 1.2k 1.3× 419 0.7× 319 1.5× 58 0.3× 255 2.8k

Countries citing papers authored by William H. Moore

Since Specialization
Citations

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

Fields of papers citing papers by William H. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Moore. 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 William H. Moore. The network helps show where William H. Moore may publish in the future.

Co-authorship network of co-authors of William H. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of William H. Moore. A scholar is included among the top collaborators of William H. Moore 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 William H. Moore. William H. Moore 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.
Raad, Roy A., et al.. (2025). Imaging and Management of Subsolid Lung Nodules. Radiologic Clinics of North America. 63(4). 517–535. 1 indexed citations
2.
Weikert, Thomas, Harold Litt, William H. Moore, et al.. (2023). Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations. Academic Radiology. 30(10). 2269–2279. 2 indexed citations
3.
Bang, Tami J., Jonathan H. Chung, Christopher M. Walker, et al.. (2023). ACR Appropriateness Criteria® Routine Chest Imaging. Journal of the American College of Radiology. 20(5). S224–S233. 3 indexed citations
4.
Russo, Rienna, et al.. (2023). Evaluation of Socioeconomic Disparities in Follow-Up Completion for Incidental Pulmonary Nodules. Journal of the American College of Radiology. 20(12). 1215–1224. 1 indexed citations
5.
Azour, Lea, et al.. (2022). Current imaging of PE and emerging techniques: is there a role for artificial intelligence?. Clinical Imaging. 88. 24–32. 3 indexed citations
6.
Mabud, Tarub S., Yuli Zhu, Bhavin Patel, et al.. (2022). Computed Tomography Evaluation of In Vivo Pulmonary Cryoablation Zone Sizes. Journal of Vascular and Interventional Radiology. 33(11). 1391–1398. 2 indexed citations
7.
Ko, Jane P., Jonathan Goldstein, Larry Latson, et al.. (2021). Chest CT Angiography for Acute Aortic Pathologic Conditions: Pearls and Pitfalls. Radiographics. 41(2). 399–424. 22 indexed citations
8.
Moore, William H., James S. Babb, David Kaminetzky, et al.. (2020). Pulmonary Embolism at CT Pulmonary Angiography in Patients with COVID-19. Radiology Cardiothoracic Imaging. 2(4). e200308–e200308. 48 indexed citations
9.
Yuriditsky, Eugene, Oscar Mitchell, Akhilesh K. Sista, et al.. (2020). Right ventricular stroke distance predicts death and clinical deterioration in patients with pulmonary embolism. Thrombosis Research. 195. 29–34. 21 indexed citations
10.
McGuinness, Georgeann, Chenyang Zhan, Lea Azour, et al.. (2020). Increased Incidence of Barotrauma in Patients with COVID-19 on Invasive Mechanical Ventilation. Radiology. 297(2). E252–E262. 177 indexed citations
11.
Moore, William H., et al.. (2017). Application of Real-Time 3D Navigation System in CT-Guided Percutaneous Interventional Procedures: A Feasibility Study. Radiology Research and Practice. 2017. 1–7. 16 indexed citations
12.
Moore, William H.. (2017). Managing Bobwhites in the Cutover Pinelands of South Florida. National Quail Symposium Proceedings. 1. 4 indexed citations
13.
Zhang, Hao, Hao Han, Jing Wang, et al.. (2014). Deriving adaptive MRF coefficients from previous normal‐dose CT scan for low‐dose image reconstruction via penalized weighted least‐squares minimization. Medical Physics. 41(4). 41916–41916. 38 indexed citations
14.
Han, Fangfang, Huafeng Wang, Guopeng Zhang, et al.. (2014). Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules. Journal of Digital Imaging. 28(1). 99–115. 206 indexed citations
15.
Moore, William H., et al.. (2013). FDG-PET Imaging in Patients With Pulmonary Carcinoid Tumor. Clinical Nuclear Medicine. 38(7). 501–505. 25 indexed citations
16.
Moore, William H., et al.. (2007). Eosinophilic Pneumonia Due to Duloxetine. CHEST Journal. 131(3). 901–903. 13 indexed citations
17.
Moore, William H.. (2002). U.S. Army Transformation: The U.K. View. Military review. 82(3). 68.
18.
Moore, William H.. (1993). Management of Human and Organizational Error in Operations of Marine Systems. eScholarship (California Digital Library). 2 indexed citations
19.
McAllister, R. A., et al.. (1990). Urban Air Toxics Monitoring Program, 1989. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 12(1). 7618–7618. 3 indexed citations
20.
McGee, H W, et al.. (1978). DECISION SIGHT DISTANCE FOR HIGHWAY DESIGN AND TRAFFIC CONTROL REQUIREMENTS. Transportation Research Record Journal of the Transportation Research Board. 736. 11–13. 22 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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