Bowman Williams

906 citations
9 papers · 328 · h-index 6

Impact in

Papers in

    • Head and Neck Cancer Studies 4
    • Lung Cancer Research Studies 1
    • Neutropenia and Cancer Infections 1
    • Pancreatic and Hepatic Oncology Research 1

Bowman Williams

9 papers receiving 326 citations

Peers

Bowman Williams
Comparison fields: 5 of 52
  • Otorhinolaryngology 73
  • Health Informatics 18
  • Radiation 63
  • Radiology, Nuclear Medicine and Imaging 152
  • Pulmonary and Respiratory Medicine 53
Replace Pranav Lakshminarayanan with:
Pranav Lakshminarayanan United States
Julie van der Veen Belgium
Xinzhi Teng Hong Kong
Joel E. Berends United States
Rita Simões Netherlands
Frederik W. R. Wesseling Netherlands
Haonan Xiao Hong Kong
Shouping Xu China
Sharif Elguindi United States
Nuo Tong China
Bowman Williams relative to Pranav Lakshminarayanan United States Pranav Lakshminarayanan's profile →
Citations per field
00.5×1.5×1.8×
Pranav Lakshminarayanan · 1×
Citations per year

Countries citing papers authored by Bowman Williams

Since Specialization
Citations

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

Fields of papers citing papers by Bowman Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bowman Williams. 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 Bowman Williams. The network helps show where Bowman Williams may publish in the future.

Co-authors

The 24 scholars most cited alongside Bowman Williams, 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 Bowman Williams Line = papers co-authored together Bowman Williams links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2018123
2 201892
3 201833
4 201729
5 201723
6 201921
7 20165
8 20171
9 20181

About Bowman Williams

Bowman Williams is a scholar working on Otorhinolaryngology, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 9 papers that have together received 328 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Brain Metastases and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging Techniques and Applications (1 paper), Lung Cancer Research Studies (1 paper), Neutropenia and Cancer Infections (1 paper), Colorectal and Anal Carcinomas (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Otorhinolaryngology (73 citations), Health Informatics (18 citations), Radiation (63 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Pulmonary and Respiratory Medicine (53 citations). Bowman Williams has collaborated with scholars based in United States, Egypt and Australia. Frequent co-authors include Rachel E. McCarroll, Andrew J. Wong, Michalis Aristophanous, Arvind Rao, Abdallah S. R. Mohamed, M.A.M. Meheissen, Clifton David Fuller, Jinzhong Yang, Baher Elgohari and Mona J. Kamal. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Frontiers in Oncology, Scientific Reports and 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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