Cláudia Freitas

40 papers and 434 indexed citations i.

About

Cláudia Freitas is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Cláudia Freitas has authored 40 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Cláudia Freitas’s 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). Cláudia Freitas is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (6 papers). Cláudia Freitas collaborates with scholars based in Portugal, United States and Australia. Cláudia Freitas's co-authors include Venceslau Hespanhol, A. Cunha, José Luís Costa, Tânia Pereira, Hélder P. Oliveira, Francisco Silva, Natália Martins, Liliana Matos, Henrique Almeida and António J. Madureira and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Cláudia Freitas i

Fields of papers citing papers by Cláudia Freitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Cláudia Freitas

Since Specialization
Citations

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).

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.

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2025