Robert A. Schmidt
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Artificial Intelligence top 0.5%
- AI in cancer detection
Papers in
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- AI in cancer detection 61
-
- Radiomics and Machine Learning in Medical Imaging 27
- MRI in cancer diagnosis 6
- Co-authors
- Maryellen L. Giger (42 shared papers)Carl J. Vyborny (30 shared papers)Robert M. Nishikawa (44 shared papers)Charles E. Metz (17 shared papers)Kunio Doi (27 shared papers)Gillian M. Newstead (12 shared papers)F Yin (10 shared papers)Hiroyuki Abé (9 shared papers)
- Journals
- Medical Physics (12 papers)Radiology (9 papers)Academic Radiology (5 papers)Journal of Digital Imaging (5 papers)American Journal of Roentgenology (4 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Robert A. Schmidt
119 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 160
- Radiology, Nuclear Medicine and Imaging 1.7k
- Artificial Intelligence 2.2k
- Computer Vision and Pattern Recognition 912
- Pathology and Forensic Medicine 532
- Pulmonary and Respiratory Medicine 905
Countries citing papers authored by Robert A. Schmidt
This map shows the geographic impact of Robert A. Schmidt'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 Robert A. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Schmidt more than expected).
Fields of papers citing papers by Robert A. Schmidt
This network shows the impact of papers produced by Robert A. Schmidt. 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 Robert A. Schmidt. The network helps show where Robert A. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert A. Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 365 | |
| 2 | 1990 | 309 | |
| 3 | 2011 | 217 | |
| 4 | 1996 | 176 | |
| 5 | 1991 | 173 | |
| 6 | 1992 | 158 | |
| 7 | 2010 | 157 | |
| 8 | 2008 | 149 | |
| 9 | 2007 | 126 | |
| 10 | 1994 | 122 | |
| 11 | 1994 | 121 | |
| 12 | Computer-aided detection of microcalcifications in mammograms. Methodology and preliminary clinical study. | 1988 | 118 |
| 13 | 2001 | 117 | |
| 14 | 1975 | 107 | |
| 15 | 1996 | 92 | |
| 16 | 2002 | 91 | |
| 17 | 1989 | 87 | |
| 18 | 1994 | 84 | |
| 19 | 1995 | 84 | |
| 20 | 1993 | 83 |
About Robert A. Schmidt
Robert A. Schmidt is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine, having authored 122 papers that have together received 4.6k indexed citations. Recurring topics across this work include AI in cancer detection (61 papers), Radiomics and Machine Learning in Medical Imaging (27 papers), Digital Radiography and Breast Imaging (16 papers), Breast Lesions and Carcinomas (10 papers), Global Cancer Incidence and Screening (10 papers), Colorectal Cancer Screening and Detection (8 papers), Breast Cancer Treatment Studies (7 papers) and MRI in cancer diagnosis (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Artificial Intelligence (2.2k citations), Computer Vision and Pattern Recognition (912 citations), Pathology and Forensic Medicine (532 citations) and Pulmonary and Respiratory Medicine (905 citations). Robert A. Schmidt has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Maryellen L. Giger, Carl J. Vyborny, Robert M. Nishikawa, Charles E. Metz, Kunio Doi, Gillian M. Newstead, F Yin, Hiroyuki Abé, Kunio Doi and Yanpeng Wu. Their work appears in journals such as Medical Physics, Radiology, Academic Radiology, Journal of Digital Imaging and American Journal of Roentgenology.
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.