Kenneth L. Kehl

4.2k citations
70 papers · 1.5k indexed · 1 hit paper · h-index 22
Topics
Cancer Genomics and Diagnostics (22 papers)Lung Cancer Treatments and Mutations (20 papers)Radiomics and Machine Learning in Medical Imaging (17 papers)

In The Last Decade

Kenneth L. Kehl

63 papers receiving 1.4k citations

Hit Papers

Artificial Intelligence in Oncology: Current Landscape, C...2024202620252024204060

Peers

Kenneth L. Kehl
Comparison fields: 5 of 105
  • Oncology 544
  • Pulmonary and Respiratory Medicine 451
  • Radiology, Nuclear Medicine and Imaging 302
  • Cancer Research 234
  • Artificial Intelligence 229
Replace S. Joseph Sirintrapun with:
S. Joseph Sirintrapun United States
Tufia C. Haddad United States
Daniel W. Golden United States
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Fábio Ynoe de Moraes Canada
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Paul Martin Putora Switzerland
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Kenneth L. Kehl relative to S. Joseph Sirintrapun United States S. Joseph Sirintrapun's profile →
Citations per field
00.5×1.6×
S. Joseph Sirintrapun · 1×
Citations per year

Countries citing papers authored by Kenneth L. Kehl

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth L. Kehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth L. Kehl. 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 Kenneth L. Kehl. The network helps show where Kenneth L. Kehl may publish in the future.

Co-authorship network of co-authors of Kenneth L. Kehl

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth L. Kehl. A scholar is included among the top collaborators of Kenneth L. Kehl 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 Kenneth L. Kehl. Kenneth L. Kehl 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 0
2 1
3 3
4 3
5 21
6
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directionsbreakdown →
71
7 9
8 1
9 0
10 17
11 1
12 51
13 12
14 15
15 33
16 59
17 4
18 29
19 31
20 39

About Kenneth L. Kehl

Kenneth L. Kehl is a scholar working on Health Informatics, Cancer Research and Oncology, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Lung Cancer Treatments and Mutations (20 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). The work is most often cited by research in Health Informatics (173 citations), Oncology (544 citations) and Cancer Research (234 citations). Kenneth L. Kehl has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Deborah Schrag, Michael J. Hassett, Nancy L. Keating, Eliezer M. Van Allen, Bruce E. Johnson, Mary Beth Landrum, Haitham Elmarakeby, Neeraj K. Arora, Jennifer W. Mack and Patricia A. Ganz. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical 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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