Ken Goodman
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- Cardiac Imaging and Diagnostics 5
- Nephrology top 5%
- Surgery top 10%
- Coronary Interventions and Diagnostics 4
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- Chronic Obstructive Pulmonary Disease (COPD) Research 1
- Pleural and Pulmonary Diseases 1
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- Advanced X-ray and CT Imaging 2
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- Neonatal and fetal brain pathology 1
- Fetal and Pediatric Neurological Disorders 1
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- Ectopic Pregnancy Diagnosis and Management 1
- Co-authors
- Yadon AradAlan D. GuerciLouise A. SpadaroDavid NewsteinGail LernerScott ShermanMarguerite RothPierre A. Casthely
- Journals
- Journal of the American College of Cardiology (3 papers)Coronary Artery Disease (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United States
In The Last Decade
Ken Goodman
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Radiology, Nuclear Medicine and Imaging 872
- Cardiology and Cardiovascular Medicine 574
- Nephrology 114
- Surgery 412
- Pulmonary and Respiratory Medicine 223
Countries citing papers authored by Ken Goodman
This map shows the geographic impact of Ken Goodman'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 Ken Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Goodman more than expected).
Fields of papers citing papers by Ken Goodman
This network shows the impact of papers produced by Ken Goodman. 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 Ken Goodman. The network helps show where Ken Goodman may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Ken Goodman, 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 | 2006 | 2 | |
| 2 | Prediction of coronary events with electron beam computed tomographybreakdown → | 2000 | 582 |
| 3 | 1998 | 137 | |
| 4 | 1998 | 41 | |
| 5 | 1998 | 59 | |
| 6 | 1998 | 8 | |
| 7 | 1996 | 418 | |
| 8 | 1988 | 18 | |
| 9 | 1986 | 6 | |
| 10 | 1985 | 0 | |
| 11 | Neurosonographic Recognition of Subependymal Cysts in High-Risk Neonates | 1984 | 3 |
| 12 | 1983 | 3 |
About Ken Goodman
Ken Goodman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Nephrology, Surgery and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Coronary Interventions and Diagnostics (4 papers), Advanced X-ray and CT Imaging (2 papers), Neonatal and fetal brain pathology (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Ectopic Pregnancy Diagnosis and Management (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (872 citations), Cardiology and Cardiovascular Medicine (574 citations), Nephrology (114 citations), Surgery (412 citations) and Pulmonary and Respiratory Medicine (223 citations). Ken Goodman has collaborated with scholars based in United States. Frequent co-authors include Yadon Arad, Alan D. Guerci, Louise A. Spadaro, David Newstein, Gail Lerner, Scott Sherman, Marguerite Roth, Pierre A. Casthely, Vladimir Redko and Edwin L. Zalneraitis. Their work appears in journals such as Journal of the American College of Cardiology, Coronary Artery Disease, International Journal of Radiation Oncology*Biology*Physics, Radiology and Journal of Computer Assisted Tomography.
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.