Ruth Walsh
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Co-authors
- Mary Scott SooJay A. BakerPhyllis J. KornguthSujata V. GhateLars J. GrimmMaciej A. MazurowskiAshirbani SahaEric L. Rosen
- Topics
- AI in cancer detection (20 papers)Digital Radiography and Breast Imaging (14 papers)Breast Lesions and Carcinomas (9 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingArtificial IntelligencePathology and Forensic Medicine
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Ruth Walsh
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 647
- Radiology, Nuclear Medicine and Imaging 642
- Pulmonary and Respiratory Medicine 388
- Pathology and Forensic Medicine 333
- Oncology 276
Countries citing papers authored by Ruth Walsh
This map shows the geographic impact of Ruth Walsh'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 Ruth Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Walsh more than expected).
Fields of papers citing papers by Ruth Walsh
This network shows the impact of papers produced by Ruth Walsh. 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 Ruth Walsh. The network helps show where Ruth Walsh may publish in the future.
Co-authorship network of co-authors of Ruth Walsh
This figure shows the co-authorship network connecting the top 25 collaborators of Ruth Walsh. A scholar is included among the top collaborators of Ruth Walsh 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 Ruth Walsh. Ruth Walsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 187 | |
| 5 | 24 | |
| 6 | 4 | |
| 7 | 30 | |
| 8 | 14 | |
| 9 | 13 | |
| 10 | 20 | |
| 11 | 9 | |
| 12 | 39 | |
| 13 | 56 | |
| 14 | 50 | |
| 15 | 10 | |
| 16 | 70 | |
| 17 | 29 | |
| 18 | 31 | |
| 19 | 7 | |
| 20 | 88 |
About Ruth Walsh
Ruth Walsh is a scholar working on Leadership and Management, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Digital Radiography and Breast Imaging (14 papers) and Breast Lesions and Carcinomas (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (642 citations), Artificial Intelligence (647 citations) and Pathology and Forensic Medicine (333 citations). Ruth Walsh has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Mary Scott Soo, Jay A. Baker, Phyllis J. Kornguth, Sujata V. Ghate, Lars J. Grimm, Maciej A. Mazurowski, Ashirbani Saha, Eric L. Rosen, Joseph Y. Lo and Edgardo I. Gimenez. Their work appears in journals such as Scientific Reports, Radiology and British Journal of Cancer.
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.