William Baughman

425 total citations
9 papers, 305 citations indexed

About

William Baughman is a scholar working on Surgery, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William Baughman has authored 9 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William Baughman's work include Topic Modeling (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Radiology practices and education (2 papers). William Baughman is often cited by papers focused on Topic Modeling (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Radiology practices and education (2 papers). William Baughman collaborates with scholars based in United States, Canada and Belarus. William Baughman's co-authors include Jane E. Corteville, Dan X. Cai, Madhuri Nishtala, Christopher R. McHenry, Nimitt J. Patel, Jeffrey A. Claridge, Christine O. Menias, Khaled M. Elsayes, Ahmed M. Amer and Amy K. Hara and has published in prestigious journals such as The American Journal of Surgery, Radiographics and Annals of the American Thoracic Society.

In The Last Decade

William Baughman

7 papers receiving 300 citations

Peers

William Baughman

PPCH

OG

PHEOH

SURGE

PRM

Jai Prakash India

Shozo Matsuoka Japan

T. Eikeland Norway

M. Mutlu Meydanli Türkiye

T. Bignardi Australia

Olivier Poujade France

V. Dütemeyer Belgium

Ibrahim Hammad United States

P. Fournet France

G Pennehouat France

Jai Prakash India

William Baughman

186 ×0.8

PPCH

254 ×1.2

OG

111 ×0.6

PHEOH

26 ×0.4

SURGE

9 ×0.7

PRM

Citations per year, relative to William Baughman William Baughman (= 1×) peers Jai Prakash

Countries citing papers authored by William Baughman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of William Baughman

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

All Works

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9 of 9 papers shown

1.

Kumar, Ashish, et al.. (2022). Utilization of Non-Gated Chest Computed Tomography Scans in Predicting Acute Coronary Occlusion in Out-of-Hospital Cardiac Arrest. Current Problems in Cardiology. 47(10). 101276–101276.

2.

Nishtala, Madhuri, Dan X. Cai, William Baughman, & Christopher R. McHenry. (2019). Adrenal cavernous hemangioma: A rare tumor that mimics adrenal cortical carcinoma. Surgery Open Science. 1(1). 7–13. 14 indexed citations

3.

Patel, Nimitt J., et al.. (2016). Selective nonoperative management of abdominal gunshot wounds with isolated solid organ injury. The American Journal of Surgery. 213(3). 583–585. 9 indexed citations

4.

Iqbal, Muhammad Nouman, Anne M. Huml, Vidya Krishnan, et al.. (2016). What’s in a Name? Factors Associated with Documentation and Evaluation of Incidental Pulmonary Nodules. Annals of the American Thoracic Society. 13(10). 1704–1711. 8 indexed citations

5.

Surabhi, Venkateswar R., Christine O. Menias, Ahmed M. Amer, et al.. (2016). Tumors and Tumorlike Conditions of the Anal Canal and Perianal Region: MR Imaging Findings. Radiographics. 36(5). 1339–1353. 22 indexed citations

6.

Baughman, William, et al.. (2015). A distributional approach to summarization of radiology reports. 2011. 973–974. 1 indexed citations

7.

Baughman, William, et al.. (2015). A method for imputation of semantic class in diagnostic radiology text. 750–755.

8.

Baughman, William, et al.. (2013). Modeling Incidental Findings in Radiology Records. 940–945. 1 indexed citations

9.

Baughman, William, et al.. (2008). Placenta Accreta: Spectrum of US and MR Imaging Findings. Radiographics. 28(7). 1905–1916. 250 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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