Cláudia Freitas

834 total citations
42 papers, 509 citations indexed

About

Cláudia Freitas is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Cláudia Freitas has authored 42 papers receiving a total of 509 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 Oncology. 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 Brazil. Cláudia Freitas's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Cláudia Freitas

38 papers receiving 505 citations

Peers

Cláudia Freitas
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
Replace Valentina Brancato with:
Valentina Brancato Italy
Stephan Ellmann Germany
Okyaz Eminağa Germany
Xiaoying Liu United States
Mehdi Amini Switzerland
Yinhui Deng China
Mircea-Sebastian Şerbănescu Romania
Deborah Thompson United States
Gabriela Quiroga‐Garza United States
Valentina Brancato Italy View profile →
Citations per field, relative to Cláudia Freitas
Cláudia Freitas · 1×
Citations per year, relative to Cláudia Freitas
Cláudia Freitas · 1×

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).

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.

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

20 of 20 papers shown
# 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

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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