William H. Moore

4.0k citations
146 papers · 2.7k · h-index 26

Impact in

Papers in

William H. Moore

137 papers receiving 2.5k citations

Peers

William H. Moore
Comparison fields: 5 of 166
  • Radiology, Nuclear Medicine and Imaging 771
  • Pulmonary and Respiratory Medicine 769
  • Internal Medicine 81
  • Critical Care and Intensive Care Medicine 65
  • Hepatology 103
Replace Chandra M. Sehgal with:
Chandra M. Sehgal United States
J Richter Germany
Ayache Bouakaz France
Mingxi Wan China
John Chen United States
Huijun Chen China
Maurice C. G. Aalders Netherlands
Joon Woo Lee South Korea
Shigeo Wada Japan
Yun Wang China
William H. Moore relative to Chandra M. Sehgal United States Chandra M. Sehgal's profile →
Citations per field
00.5×1.5×2.1×
Chandra M. Sehgal · 1×
Citations per year

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-authors

The 25 scholars most cited alongside William H. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William H. Moore Line = papers co-authored together William H. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014210
2 2020178
3 2001176
4 2010139
5 1979117
6 201497
7 201596
8 201492
9 201551
10 202050
11 201945
12 201844
13 201243
14 195943
15 201241
16 201339
17 201438
18 201537
19 201935
20 201035

About William H. Moore

William H. Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Ecology and Artificial Intelligence, having authored 146 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (27 papers), Medical Imaging Techniques and Applications (20 papers), Radiation Dose and Imaging (18 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Advanced X-ray and CT Imaging (16 papers), Radiology practices and education (8 papers), Medical Imaging and Pathology Studies (7 papers) and Ultrasound in Clinical Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (771 citations), Pulmonary and Respiratory Medicine (769 citations), Internal Medicine (81 citations), Critical Care and Intensive Care Medicine (65 citations) and Hepatology (103 citations). William H. Moore has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Thomas V. Bilfinger, Zhengrong Liang, Hongbing Lu, Hao Han, Gerald E. Loeb, Alla Zemlyak, Jianhua Ma, Fangfang Han, Lea Azour and Bowen Song. Their work appears in journals such as Journal of the American College of Radiology, Journal of Computer Assisted Tomography, Academic Radiology, Journal of Vascular and Interventional Radiology and Journal of Thoracic Imaging.

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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