William Baughman
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Maternal and Perinatal Health Interventions
- Uterine Myomas and Treatments
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- Maternal and fetal healthcare
Papers in
- Surgery 3
- Abdominal Trauma and Injuries 1
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- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Jane E. Corteville (1 shared paper)Dan X. Cai (1 shared paper)Christopher R. McHenry (1 shared paper)Madhuri Nishtala (1 shared paper)Venkateswar R. Surabhi (1 shared paper)Ahmed M. Amer (1 shared paper)Jeffrey A. Claridge (1 shared paper)Khaled M. Elsayes (1 shared paper)
- Journals
- Radiographics (2 papers)Annals of the American Thoracic Society (1 paper)The American Journal of Surgery (1 paper)Current Problems in Cardiology (1 paper)Surgery Open Science (1 paper)
- Partner nations
- United StatesCanadaBelarus
In The Last Decade
William Baughman
7 papers receiving 300 citations
Peers
Comparison fields: 5 of 36
- Obstetrics and Gynecology 219
- Pediatrics, Perinatology and Child Health 236
- Public Health, Environmental and Occupational Health 182
- Critical Care and Intensive Care Medicine 8
- Surgery 64
Countries citing papers authored by William Baughman
This map shows the geographic impact of William Baughman'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 Baughman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Baughman more than expected).
Fields of papers citing papers by William Baughman
This network shows the impact of papers produced by William Baughman. 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 Baughman. The network helps show where William Baughman may publish in the future.
Co-authors
The 25 scholars most cited alongside William Baughman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 250 | |
| 2 | 2016 | 22 | |
| 3 | 2019 | 14 | |
| 4 | 2016 | 9 | |
| 5 | 2016 | 8 | |
| 6 | 2015 | 1 | |
| 7 | 2013 | 1 | |
| 8 | 2022 | 0 | |
| 9 | 2015 | 0 |
About William Baughman
William Baughman is a scholar working on Surgery, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 305 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Radiology practices and education (2 papers), Radiation Dose and Imaging (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and Abdominal Trauma and Injuries (1 paper). The work is most often cited by research in Obstetrics and Gynecology (219 citations), Pediatrics, Perinatology and Child Health (236 citations), Public Health, Environmental and Occupational Health (182 citations), Critical Care and Intensive Care Medicine (8 citations) and Surgery (64 citations). William Baughman has collaborated with scholars based in United States, Canada and Belarus. Frequent co-authors include Jane E. Corteville, Dan X. Cai, Christopher R. McHenry, Madhuri Nishtala, Venkateswar R. Surabhi, Ahmed M. Amer, Jeffrey A. Claridge, Khaled M. Elsayes, Amy K. Hara and John J. Como. Their work appears in journals such as Radiographics, Annals of the American Thoracic Society, The American Journal of Surgery, Current Problems in Cardiology and Surgery Open Science.
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.