David M. Shepard

2.8k citations
81 papers · 2.3k · h-index 25

Impact in

Papers in

David M. Shepard

76 papers receiving 2.1k citations

Peers

David M. Shepard
Comparison fields: 5 of 105
  • Radiation 1.8k
  • Radiology, Nuclear Medicine and Imaging 1000
  • Pulmonary and Respiratory Medicine 958
  • Otorhinolaryngology 58
  • Biomedical Engineering 249
Replace Christian Thieke with:
Christian Thieke Germany
Isaac I. Rosen United States
Steve Webb United Kingdom
Márk Langer United States
Jonathan G. Li United States
Chen‐Shou Chui United States
Radhe Mohan United States
Linda J. Brewster United States
Marco Riboldi Italy
Sebastiaan Breedveld Netherlands
David M. Shepard relative to Christian Thieke Germany Christian Thieke's profile →
Citations per field
00.5×1.6×
Christian Thieke · 1×
Citations per year

Countries citing papers authored by David M. Shepard

Since Specialization
Citations

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

Fields of papers citing papers by David M. Shepard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Shepard. 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 David M. Shepard. The network helps show where David M. Shepard may publish in the future.

Co-authors

The 25 scholars most cited alongside David M. Shepard, 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 David M. Shepard Line = papers co-authored together David M. Shepard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002292
2 2010199
3 1999197
4 2002156
5 1999139
6 2003132
7 2012118
8 200777
9 200775
10 200953
11 200348
12 200747
13 200144
14 200740
15 200640
16 200239
17 199837
18 200333
19 200533
20 200930

About David M. Shepard

David M. Shepard is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Pathology and Forensic Medicine, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (61 papers), Medical Imaging Techniques and Applications (34 papers), Radiation Therapy and Dosimetry (31 papers), Radiation Dose and Imaging (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Advanced X-ray and CT Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Trigeminal Neuralgia and Treatments (3 papers). The work is most often cited by research in Radiation (1.8k citations), Radiology, Nuclear Medicine and Imaging (1000 citations), Pulmonary and Respiratory Medicine (958 citations), Otorhinolaryngology (58 citations) and Biomedical Engineering (249 citations). David M. Shepard has collaborated with scholars based in United States, Germany and India. Frequent co-authors include C Yu, Matthew A. Earl, Michael C. Ferris, G Olivera, Daliang Cao, S Naqvi, Jinsong Ye, T. Rockwell Mackie, Min Rao and Vivek K. Mehta. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Physics in Medicine and Biology, Journal of Applied Clinical Medical Physics and Journal of Interactive Marketing.

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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