Sara Carvalho
- Radiology, Nuclear Medicine and Imaging top 0.02%
- Pulmonary and Respiratory Medicine top 0.5%
- Biomedical Engineering top 0.5%
- Oncology top 1%
- Artificial Intelligence top 0.5%
- Co-authors
- Philippe LambinRalph T. H. LeijenaarHugo J.W.L. AertsRobert J. GilliesAndré DekkerRuud G.P.M. van StiphoutCatharina M.L. ZegersPatrick V. Granton
- Topics
- Radiomics and Machine Learning in Medical Imaging (25 papers)Medical Imaging Techniques and Applications (13 papers)Advanced X-ray and CT Imaging (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Sara Carvalho
36 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Radiology, Nuclear Medicine and Imaging 8.9k
- Pulmonary and Respiratory Medicine 3.5k
- Biomedical Engineering 2.5k
- Oncology 1.7k
- Artificial Intelligence 1.5k
Countries citing papers authored by Sara Carvalho
This map shows the geographic impact of Sara Carvalho'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 Sara Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Carvalho more than expected).
Fields of papers citing papers by Sara Carvalho
This network shows the impact of papers produced by Sara Carvalho. 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 Sara Carvalho. The network helps show where Sara Carvalho may publish in the future.
Co-authorship network of co-authors of Sara Carvalho
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Carvalho. A scholar is included among the top collaborators of Sara Carvalho 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 Sara Carvalho. Sara Carvalho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 35 | |
| 9 | 59 | |
| 10 | 8 | |
| 11 | 29 | |
| 12 | 26 | |
| 13 | 100 | |
| 14 | 171 | |
| 15 | Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentationbreakdown → | 468 |
| 16 | Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approachbreakdown → | 3646 |
| 17 | 136 | |
| 18 | 37 | |
| 19 | 336 | |
| 20 | Radiomics: Extracting more information from medical images using advanced feature analysisbreakdown → | 4110 |
About Sara Carvalho
Sara Carvalho is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 9.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Imaging Techniques and Applications (13 papers) and Advanced X-ray and CT Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (8.9k citations), Health Informatics (307 citations) and Pulmonary and Respiratory Medicine (3.5k citations). Sara Carvalho has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Philippe Lambin, Ralph T. H. Leijenaar, Hugo J.W.L. Aerts, Robert J. Gillies, André Dekker, Ruud G.P.M. van Stiphout, Catharina M.L. Zegers, Patrick V. Granton, Ronald Boellard and Emmanuel Rios Velazquez. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.
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.