Cláudia Freitas
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Venceslau HespanholTânia PereiraA. CunhaJosé Luís CostaHélder P. OliveiraFrancisco SilvaNatália MartinsIsabel Ramos
- Topics
- Lung Cancer Diagnosis and Treatment (9 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)AI in cancer detection (6 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- PortugalUnited StatesBrazil
In The Last Decade
Cláudia Freitas
38 papers receiving 505 citations
Peers
Comparison fields: 5 of 99
- Pulmonary and Respiratory Medicine 219
- Radiology, Nuclear Medicine and Imaging 170
- Artificial Intelligence 98
- Molecular Biology 81
- Public Health, Environmental and Occupational Health 64
Countries citing papers authored by Cláudia Freitas
This map shows the geographic impact of Cláudia Freitas'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 Cláudia Freitas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cláudia Freitas more than expected).
Fields of papers citing papers by Cláudia Freitas
This network shows the impact of papers produced by Cláudia Freitas. 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 Cláudia Freitas. The network helps show where Cláudia Freitas may publish in the future.
Co-authorship network of co-authors of Cláudia Freitas
This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Freitas. A scholar is included among the top collaborators of Cláudia Freitas 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 Cláudia Freitas. Cláudia Freitas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 32 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 31 | |
| 10 | 1 | |
| 11 | 27 | |
| 12 | 60 | |
| 13 | 18 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 60 | |
| 20 | 36 |
About Cláudia Freitas
Cláudia Freitas is a scholar working on Microbiology, Health Informatics and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 509 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (170 citations) and Pulmonary and Respiratory Medicine (219 citations). Cláudia Freitas has collaborated with scholars based in Portugal, United States and Brazil. Frequent co-authors include Venceslau Hespanhol, Tânia Pereira, A. Cunha, José Luís Costa, Hélder P. Oliveira, Francisco Silva, Natália Martins, Isabel Ramos, Joana Morgado and António J. Madureira. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.