Marilyn A. Roubidoux
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Cancer Research top 2%
- Co-authors
- Mark A. HelvieHeang‐Ping ChanLubomir M. HadjiiskiChintana ParamagulBerkman SahinerJanet E. BaileyPaul L. CarsonN. Reed Dunnick
- Topics
- AI in cancer detection (63 papers)Digital Radiography and Breast Imaging (41 papers)Breast Lesions and Carcinomas (29 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Marilyn A. Roubidoux
132 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 140
- Radiology, Nuclear Medicine and Imaging 1.8k
- Artificial Intelligence 1.4k
- Pulmonary and Respiratory Medicine 1.2k
- Oncology 965
- Cancer Research 718
Countries citing papers authored by Marilyn A. Roubidoux
This map shows the geographic impact of Marilyn A. Roubidoux'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 Marilyn A. Roubidoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilyn A. Roubidoux more than expected).
Fields of papers citing papers by Marilyn A. Roubidoux
This network shows the impact of papers produced by Marilyn A. Roubidoux. 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 Marilyn A. Roubidoux. The network helps show where Marilyn A. Roubidoux may publish in the future.
Co-authorship network of co-authors of Marilyn A. Roubidoux
This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn A. Roubidoux. A scholar is included among the top collaborators of Marilyn A. Roubidoux based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marilyn A. Roubidoux. Marilyn A. Roubidoux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 15 | |
| 8 | 119 | |
| 9 | 8 | |
| 10 | 35 | |
| 11 | 16 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | 85 | |
| 15 | 1 | |
| 16 | Correlates of mammogram density in southwestern Native-American women. | 23 |
| 17 | 11 | |
| 18 | 43 | |
| 19 | 29 | |
| 20 | 3 |
About Marilyn A. Roubidoux
Marilyn A. Roubidoux is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine, having authored 132 papers that have together received 3.9k indexed citations. Recurring topics across this work include AI in cancer detection (63 papers), Digital Radiography and Breast Imaging (41 papers) and Breast Lesions and Carcinomas (29 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Cancer Research (718 citations) and Artificial Intelligence (1.4k citations). Marilyn A. Roubidoux has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Mark A. Helvie, Heang‐Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Berkman Sahiner, Janet E. Bailey, Paul L. Carson, N. Reed Dunnick, Chuan Zhou and Stephanie K. Patterson. Their work appears in journals such as Cancer, Radiology and Clinical Cancer Research.
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.