H. Alberto Vargas
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Evis SalaHarini VeeraraghavanHedvig HricakAndreas G. WibmerJoseph O. DeasyKazuhiro MatsumotoDuc FehrTatsuo Gondo
- Topics
- Prostate Cancer Treatment and Research (7 papers)Prostate Cancer Diagnosis and Treatment (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
H. Alberto Vargas
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Radiology, Nuclear Medicine and Imaging 743
- Pulmonary and Respiratory Medicine 464
- Oncology 182
- Biomedical Engineering 152
- Artificial Intelligence 106
Countries citing papers authored by H. Alberto Vargas
This map shows the geographic impact of H. Alberto Vargas'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 H. Alberto Vargas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Alberto Vargas more than expected).
Fields of papers citing papers by H. Alberto Vargas
This network shows the impact of papers produced by H. Alberto Vargas. 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 H. Alberto Vargas. The network helps show where H. Alberto Vargas may publish in the future.
Co-authorship network of co-authors of H. Alberto Vargas
This figure shows the co-authorship network connecting the top 25 collaborators of H. Alberto Vargas. A scholar is included among the top collaborators of H. Alberto Vargas 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 H. Alberto Vargas. H. Alberto Vargas 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 | 7 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 33 | |
| 8 | 38 | |
| 9 | 14 | |
| 10 | 0 | |
| 11 | 79 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 222 | |
| 16 | 252 | |
| 17 | Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance imagesbreakdown → | 304 |
| 18 | 43 | |
| 19 | 26 | |
| 20 | 6 |
About H. Alberto Vargas
H. Alberto Vargas is a scholar working on Radiology, Nuclear Medicine and Imaging, Urology and Oncology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (743 citations), Health Informatics (23 citations) and Pulmonary and Respiratory Medicine (464 citations). H. Alberto Vargas has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Evis Sala, Harini Veeraraghavan, Hedvig Hricak, Andreas G. Wibmer, Joseph O. Deasy, Kazuhiro Matsumoto, Duc Fehr, Tatsuo Gondo, James D. Brenton and Britta Weigelt. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet Oncology and The Journal of Urology.
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.