David J. Goodenough

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

Impact in

Papers in

David J. Goodenough

52 papers receiving 970 citations

Peers

David J. Goodenough
Comparison fields: 5 of 138
  • Radiology, Nuclear Medicine and Imaging 506
  • Orthopedics and Sports Medicine 84
  • Statistics, Probability and Uncertainty 55
  • Biomedical Engineering 264
  • Pulmonary and Respiratory Medicine 164
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Jennifer Bullen United States
Michael P. André United States
Srini Tridandapani United States
Phillip M. Cheng United States
Massimo Salvi Italy
Nicholas J. Hangiandreou United States
Thomas Schultz Germany
P Goddard United Kingdom
June‐Goo Lee South Korea
Declan P. O’Regan United Kingdom
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Citations per field
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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-authorship network

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
#Work
1 20241
2 20238
3 202122
4 20151
5 20151
6 20121
7 20001
8 19987
9 199356
10 199228
11 198954
12 19886
13 198611
14 19795
15 19771
16 19753
17 19744
18 1974157
19 19741
20 19731

About David J. Goodenough

David J. Goodenough is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Instrumentation, Pulmonary and Respiratory Medicine and Orthopedics and Sports Medicine, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (28 papers), Medical Imaging Techniques and Applications (26 papers), Radiation Dose and Imaging (18 papers), Digital Radiography and Breast Imaging (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (3 papers), MRI in cancer diagnosis (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (506 citations), Orthopedics and Sports Medicine (84 citations), Statistics, Probability and Uncertainty (55 citations), Biomedical Engineering (264 citations) and Pulmonary and Respiratory Medicine (164 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, K. Robert McIntire, S. David Rockoff, Joshua Levy, Vinay Duddalwar and Robert M. Allman. 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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