Bowman Williams

895 total citations
5 papers, 173 citations indexed

About

Bowman Williams is a scholar working on Otorhinolaryngology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bowman Williams has authored 5 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Otorhinolaryngology, 2 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bowman Williams's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Head and Neck Cancer Studies (2 papers) and Cancer-related molecular mechanisms research (1 paper). Bowman Williams is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Head and Neck Cancer Studies (2 papers) and Cancer-related molecular mechanisms research (1 paper). Bowman Williams collaborates with scholars based in United States, Egypt and Netherlands. Bowman Williams's co-authors include Abdallah Mohamed, Clifton D. Fuller, Laurence E. Court, Michalis Aristophanous, Mona Kamal, Jinzhong Yang, Baher Elgohari, Hesham Elhalawani, Arvind Rao and M.A.M. Meheissen and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Scientific Data and Internal Medicine Journal.

In The Last Decade

Bowman Williams

5 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bowman Williams United States	3	126	70	41	35	33	5	173
Lars Johannes Isaksson Italy	8	133 1.1×	36 0.5×	39 1.0×	41 1.2×	49 1.5×	10	235
Xudong Xue China	9	155 1.2×	65 0.9×	65 1.6×	54 1.5×	46 1.4×	26	245
Haonan Xiao Hong Kong	11	227 1.8×	93 1.3×	70 1.7×	41 1.2×	61 1.8×	23	302
Skylar Gay United States	9	207 1.6×	169 2.4×	69 1.7×	32 0.9×	92 2.8×	21	266
Christoph Trauernicht South Africa	7	161 1.3×	130 1.9×	51 1.2×	16 0.5×	56 1.7×	27	206
Sadegh Riyahi United States	5	217 1.7×	62 0.9×	58 1.4×	41 1.2×	119 3.6×	9	257
Tomasz Morgaś Switzerland	7	102 0.8×	70 1.0×	60 1.5×	17 0.5×	42 1.3×	11	151
Joshua Giambattista Canada	6	217 1.7×	184 2.6×	81 2.0×	51 1.5×	87 2.6×	16	308
Zongrui Ma China	8	192 1.5×	33 0.5×	58 1.4×	34 1.0×	79 2.4×	13	236
Nuo Tong China	7	206 1.6×	105 1.5×	127 3.1×	60 1.7×	35 1.1×	16	309

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-authorship network of co-authors of Bowman Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Bowman Williams. A scholar is included among the top collaborators of Bowman Williams 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 Bowman Williams. Bowman Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Lin, Timothy A., Abdallah Mohamed, Hesham Elhalawani, et al.. (2018). p16 and HPV-DNA Tests Discordance in Human Papilloma Virus (HPV)-Associated Oropharyngeal Cancer: Results From a Case-matched Study. International Journal of Radiation Oncology*Biology*Physics. 100(5). 1330–1331. 1 indexed citations

2.

Cárdenas, Carlos, Rachel McCarroll, Laurence E. Court, et al.. (2018). Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function. International Journal of Radiation Oncology*Biology*Physics. 101(2). 468–478. 111 indexed citations

3.

Grossberg, Aaron J., Abdallah Mohamed, William Bennett, et al.. (2018). Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy. Scientific Data. 5(1). 180173–180173. 56 indexed citations

4.

Yusuf, Mehran, et al.. (2017). Increasing Time to Postoperative Stereotactic Radiation Therapy for Patients With Resected Brain Metastases: Investigating Clinical Outcomes and Identifying Predictors Associated with Time to Initiation. International Journal of Radiation Oncology*Biology*Physics. 99(2). E117–E118. 1 indexed citations

5.

Lim, Hui Yin, et al.. (2016). Use of computed tomography abdomen and pelvis for investigation of febrile neutropenia in adult haematology patients. Internal Medicine Journal. 46(11). 1332–1336. 4 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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