D. Tucker
Impact in
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- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
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- Digital Radiography and Breast Imaging
Papers in
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- Digital Radiography and Breast Imaging 6
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- AI-based Problem Solving and Planning 3
- Fuzzy Logic and Control Systems 3
- Co-authors
- G T Barnes (5 shared papers)Xizeng Wu (2 shared papers)Eric L. Gingold (1 shared paper)James J. Buckley (3 shared papers)Miguel Souto (3 shared papers)R E Koehler (1 shared paper)G.T Barnes (1 shared paper)Hao Ying (3 shared papers)
- Journals
- Radiology (5 papers)Radiation Protection Dosimetry (2 papers)Fuzzy Sets and Systems (1 paper)Medical Physics (1 paper)Review of Scientific Instruments (1 paper)
- Partner nations
- United StatesSpainGreece
In The Last Decade
D. Tucker
16 papers receiving 538 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 388
- Pulmonary and Respiratory Medicine 423
- Radiation 103
- Biomedical Engineering 215
- Artificial Intelligence 109
Countries citing papers authored by D. Tucker
This map shows the geographic impact of D. Tucker'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 D. Tucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Tucker more than expected).
Fields of papers citing papers by D. Tucker
This network shows the impact of papers produced by D. Tucker. 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 D. Tucker. The network helps show where D. Tucker may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Tucker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 226 | |
| 2 | 1994 | 172 | |
| 3 | 1993 | 26 | |
| 4 | 2000 | 23 | |
| 5 | 1995 | 21 | |
| 6 | Expert-system-based fuzzy control of arterial pressure by drug infusion. | 1988 | 19 |
| 7 | 1989 | 19 | |
| 8 | 1998 | 18 | |
| 9 | 1995 | 16 | |
| 10 | 1994 | 9 | |
| 11 | 1985 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2000 | 2 | |
| 14 | 1988 | 2 | |
| 15 | Patterns of inductive reasoning in a parallel expert system | 1990 | 1 |
| 16 | 2005 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2003 | 0 |
About D. Tucker
D. Tucker is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pathology and Forensic Medicine, having authored 18 papers that have together received 562 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (6 papers), Advanced X-ray and CT Imaging (4 papers), AI-based Problem Solving and Planning (3 papers), Fuzzy Logic and Control Systems (3 papers), Breast Cancer Treatment Studies (2 papers), Radiation Dose and Imaging (2 papers), Nuclear and radioactivity studies (2 papers) and Breast Lesions and Carcinomas (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (388 citations), Pulmonary and Respiratory Medicine (423 citations), Radiation (103 citations), Biomedical Engineering (215 citations) and Artificial Intelligence (109 citations). D. Tucker has collaborated with scholars based in United States, Spain and Greece. Frequent co-authors include G T Barnes, Xizeng Wu, Eric L. Gingold, James J. Buckley, Miguel Souto, R E Koehler, G.T Barnes, Hao Ying, Louis C. Sheppard and David T. Kopp. Their work appears in journals such as Radiology, Radiation Protection Dosimetry, Fuzzy Sets and Systems, Medical Physics and Review of Scientific Instruments.
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.