Claudia Mello‐Thoms
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 1%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Patrick BrennanCalvin F. NodineHarold L. KundelZiba GandomkarElizabeth A. KrupinskiTong LiSusan P. WeinsteinPaul J. Locher
- Topics
- AI in cancer detection (83 papers)Digital Radiography and Breast Imaging (56 papers)Radiology practices and education (50 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaRadiology
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Claudia Mello‐Thoms
129 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 148
- Radiology, Nuclear Medicine and Imaging 1.3k
- Artificial Intelligence 1000
- Pulmonary and Respiratory Medicine 704
- Oncology 510
- Computer Vision and Pattern Recognition 308
Countries citing papers authored by Claudia Mello‐Thoms
This map shows the geographic impact of Claudia Mello‐Thoms'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 Claudia Mello‐Thoms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Mello‐Thoms more than expected).
Fields of papers citing papers by Claudia Mello‐Thoms
This network shows the impact of papers produced by Claudia Mello‐Thoms. 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 Claudia Mello‐Thoms. The network helps show where Claudia Mello‐Thoms may publish in the future.
Co-authorship network of co-authors of Claudia Mello‐Thoms
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Mello‐Thoms. A scholar is included among the top collaborators of Claudia Mello‐Thoms 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 Claudia Mello‐Thoms. Claudia Mello‐Thoms is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 22 | |
| 5 | 132 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 20 | |
| 17 | 0 | |
| 18 | 36 | |
| 19 | 41 | |
| 20 | 19 |
About Claudia Mello‐Thoms
Claudia Mello‐Thoms is a scholar working on Family Practice, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 137 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI in cancer detection (83 papers), Digital Radiography and Breast Imaging (56 papers) and Radiology practices and education (50 papers). The work is most often cited by research in Family Practice (241 citations), Health Informatics (112 citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Claudia Mello‐Thoms has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Patrick Brennan, Calvin F. Nodine, Harold L. Kundel, Ziba Gandomkar, Elizabeth A. Krupinski, Tong Li, Susan P. Weinstein, Paul J. Locher, Mark F. McEntee and C.A.B. Mello. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Radiology.
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.