Alberto Traverso
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Oncology top 10%
- Co-authors
- André DekkerLeonard WeeRobert J. GilliesMattea WelchDavid A. JaffrayIvan ZhovannikZhenwei ShiRené Monshouwer
- Topics
- Radiomics and Machine Learning in Medical Imaging (47 papers)Lung Cancer Diagnosis and Treatment (17 papers)Advanced X-ray and CT Imaging (13 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- NetherlandsChinaUnited States
In The Last Decade
Alberto Traverso
63 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 1.4k
- Biomedical Engineering 528
- Pulmonary and Respiratory Medicine 482
- Artificial Intelligence 343
- Oncology 271
Countries citing papers authored by Alberto Traverso
This map shows the geographic impact of Alberto Traverso'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 Alberto Traverso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Traverso more than expected).
Fields of papers citing papers by Alberto Traverso
This network shows the impact of papers produced by Alberto Traverso. 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 Alberto Traverso. The network helps show where Alberto Traverso may publish in the future.
Co-authorship network of co-authors of Alberto Traverso
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Traverso. A scholar is included among the top collaborators of Alberto Traverso 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 Alberto Traverso. Alberto Traverso 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 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 19 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 50 | |
| 17 | 26 | |
| 18 | 41 | |
| 19 | 26 | |
| 20 | [Nosologic evaluation of Noonan syndrome and description of nine cases]. | 4 |
About Alberto Traverso
Alberto Traverso is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (47 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Advanced X-ray and CT Imaging (13 papers). The work is most often cited by research in Health Informatics (131 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Pulmonary and Respiratory Medicine (482 citations). Alberto Traverso has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include André Dekker, Leonard Wee, Robert J. Gillies, Mattea Welch, David A. Jaffray, Ivan Zhovannik, Zhenwei Shi, René Monshouwer, Johan van Soest and Petros Kalendralis. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Cancer Research.
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.