David J. Goodenough

1.4k citations
53 papers · 1.1k · h-index 15

Impact in

Papers in

David J. Goodenough

52 papers receiving 974 citations

Peers

David J. Goodenough
Comparison fields: 5 of 134
  • Radiology, Nuclear Medicine and Imaging 433
  • Orthopedics and Sports Medicine 76
  • Statistics, Probability and Uncertainty 45
  • Biomedical Engineering 197
  • Pulmonary and Respiratory Medicine 126
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Jennifer Bullen United States
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Mélèze Hocini France
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Robert S. Siffert United States
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Citations per year

Countries citing papers authored by David J. Goodenough

Since Specialization
Citations

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

Fields of papers citing papers by David J. Goodenough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973173
2 1974158
3 1975150
4 197876
5 199356
6 201955
7 198954
8 197237
9
Theoretical limitations in the immunodiagnostic imaging of cancer with computed tomography and nuclear scanning.
198036
10 198229
11 199228
12 202122
13 197521
14 197718
15 198416
16 198611
17 197311
18 197310
19 20238
20 19987

About David J. Goodenough

David J. Goodenough is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (22 papers), Medical Imaging Techniques and Applications (21 papers), Radiation Dose and Imaging (17 papers), Digital Radiography and Breast Imaging (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (3 papers), Bone health and osteoporosis research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (433 citations), Orthopedics and Sports Medicine (76 citations), Statistics, Probability and Uncertainty (45 citations), Biomedical Engineering (197 citations) and Pulmonary and Respiratory Medicine (126 citations). David J. Goodenough has collaborated with scholars based in United States, Norway and Poland. Frequent co-authors include Kurt Rossmann, Lee B. Lusted, Charles E. Metz, Stuart J. Starr, David O. Davis, Joshua Levy, K. Robert McIntire, S. David Rockoff, Steven Cen and Bino Varghese. Their work appears in journals such as Radiology, Medical Physics, Journal of Applied Clinical Medical Physics, IEEE Transactions on Nuclear Science and Investigative Radiology.

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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