Rene Vargas‐Voracek
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Carey E. FloydGeorgia D. TourassiAlan H. BaydushCarl E. RavinH. ChotasJames T. DobbinsJoseph Y. LoMarios A. Gavrielides
- Topics
- AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Image Retrieval and Classification Techniques (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- United StatesSwitzerland
In The Last Decade
Rene Vargas‐Voracek
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 189
- Artificial Intelligence 167
- Pulmonary and Respiratory Medicine 141
- Computer Vision and Pattern Recognition 108
- Biomedical Engineering 78
Countries citing papers authored by Rene Vargas‐Voracek
This map shows the geographic impact of Rene Vargas‐Voracek'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 Rene Vargas‐Voracek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rene Vargas‐Voracek more than expected).
Fields of papers citing papers by Rene Vargas‐Voracek
This network shows the impact of papers produced by Rene Vargas‐Voracek. 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 Rene Vargas‐Voracek. The network helps show where Rene Vargas‐Voracek may publish in the future.
Co-authorship network of co-authors of Rene Vargas‐Voracek
This figure shows the co-authorship network connecting the top 25 collaborators of Rene Vargas‐Voracek. A scholar is included among the top collaborators of Rene Vargas‐Voracek 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 Rene Vargas‐Voracek. Rene Vargas‐Voracek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 107 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 97 | |
| 9 | 37 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 35 | |
| 14 | 2 |
About Rene Vargas‐Voracek
Rene Vargas‐Voracek is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 14 papers that have together received 357 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (189 citations), Computer Vision and Pattern Recognition (108 citations) and Artificial Intelligence (167 citations). Rene Vargas‐Voracek has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Carey E. Floyd, Georgia D. Tourassi, Alan H. Baydush, Carl E. Ravin, H. Chotas, James T. Dobbins, Joseph Y. Lo, Marios A. Gavrielides, Ralph Müller and Catherine Arnaud. Their work appears in journals such as Radiology, Medical Physics and Osteoporosis International.
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.