William E. Karnes

1.6k citations
41 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Colorectal Cancer Screening and Detection (28 papers)Gastric Cancer Management and Outcomes (12 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)

In The Last Decade

William E. Karnes

37 papers receiving 1.1k citations

Hit Papers

Deep Learning Localizes and Identifies Polyps in Real Tim...20182026202020232018100200300400

Peers

William E. Karnes
Comparison fields: 5 of 100
  • Oncology 653
  • Pulmonary and Respiratory Medicine 397
  • Radiology, Nuclear Medicine and Imaging 330
  • Surgery 309
  • Artificial Intelligence 222
Replace Xun Xiao with:
Xun Xiao China
Yoriaki Komeda Japan
Toshiyuki Baba Japan
Makoto Ishihara Japan
Fei Xiong China
Youichi Kumagai Japan
Asif Loya Pakistan
Raymond Kelly Ireland
Satoki Shichijo Japan
Alessandro Caputo Italy
William E. Karnes relative to Xun Xiao China Xun Xiao's profile →
Citations per field
00.5×4.5×
Xun Xiao · 1×
Citations per year

Countries citing papers authored by William E. Karnes

Since Specialization
Citations

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

Fields of papers citing papers by William E. Karnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William E. Karnes

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 19
3 3
4 31
5 2
6 3
7 1
8 51
9 2
10 1
11
Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopybreakdown →
494
12 3
13 49
14 2
15 0
16 5
17 21
18 11
19 33
20 14

About William E. Karnes

William E. Karnes is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (28 papers), Gastric Cancer Management and Outcomes (12 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (34 citations), Oncology (653 citations) and Gastroenterology (95 citations). William E. Karnes has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Talal Alkayali, Gregor Urban, Mohit Mittal, Priyam Tripathi, Farid Jalali, Pierre Baldi, John H. Walsh, Mary Territo, Jason Samarasena and James Requa. Their work appears in journals such as Gastroenterology, Gut and The American Journal of Gastroenterology.

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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