William C. Sleeman

1.0k citations
49 papers · 669 · h-index 14

Impact in

Papers in

William C. Sleeman

45 papers receiving 652 citations

Peers

William C. Sleeman
Comparison fields: 5 of 91
  • Radiation 216
  • Radiology, Nuclear Medicine and Imaging 180
  • Artificial Intelligence 190
  • Health Information Management 22
  • Health Informatics 6
Replace Haibin Chen with:
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Countries citing papers authored by William C. Sleeman

Since Specialization
Citations

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

Fields of papers citing papers by William C. Sleeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William C. Sleeman, 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 C. Sleeman Line = papers co-authored together William C. Sleeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201688
2 202068
3 201366
4 202162
5 202261
6 201046
7 201327
8 202218
9 202018
10 202018
11 202017
12 201016
13 201514
14 201213
15 201613
16 201911
17 201210
18 20118
19
Low speed wind tunnel investigation of a four-engine upper surface blown model having swept wing and rectangular and D-shaped exhaust nozzles
19758
20 20217

About William C. Sleeman

William C. Sleeman is a scholar working on Radiation, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 669 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Aerospace Engineering and Energy Systems (5 papers), Biomedical Text Mining and Ontologies (5 papers), Aerodynamics and Fluid Dynamics Research (4 papers), Aerospace and Aviation Technology (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Radiation (216 citations), Radiology, Nuclear Medicine and Imaging (180 citations), Artificial Intelligence (190 citations), Health Information Management (22 citations) and Health Informatics (6 citations). William C. Sleeman has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Rishabh Kapoor, Elisabeth Weiss, Preetam Ghosh, Bartosz Krawczyk, Geoffrey D. Hugo, Jatinder Palta, Jeffrey F. Williamson, Salim Balik, Jun Lü and Paul Keall. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics, Applied Intelligence and Advances in Radiation Oncology.

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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