Vlad Boldea
Impact in
- Radiation top 2%
- Advanced Radiotherapy Techniques
-
- Medical Image Segmentation Techniques
Papers in
- Radiation 14
- Advanced Radiotherapy Techniques 14
-
- Medical Image Segmentation Techniques 4
- Co-authors
- David Sarrut (14 shared papers)Gregory Charles Sharp (5 shared papers)C. Ginestet (7 shared papers)Steve B Jiang (4 shared papers)Serge Miguet (2 shared papers)Eike Rietzel (1 shared paper)Ziji Wu (1 shared paper)Sébastien Clippe (4 shared papers)
- Journals
- Medical Physics (4 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)IEEE Transactions on Medical Imaging (1 paper)Lecture notes in computer science (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (3 papers)
- Partner nations
- FranceUnited States
In The Last Decade
Vlad Boldea
9 papers receiving 473 citations
Peers
Comparison fields: 5 of 29
- Radiation 300
- Computer Vision and Pattern Recognition 232
- Radiology, Nuclear Medicine and Imaging 62
- Computer Graphics and Computer-Aided Design 3
- Pulmonary and Respiratory Medicine 12
Countries citing papers authored by Vlad Boldea
This map shows the geographic impact of Vlad Boldea'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 Vlad Boldea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vlad Boldea more than expected).
Fields of papers citing papers by Vlad Boldea
This network shows the impact of papers produced by Vlad Boldea. 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 Vlad Boldea. The network helps show where Vlad Boldea may publish in the future.
Co-authors
The 16 scholars most cited alongside Vlad Boldea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 122 | |
| 2 | 2008 | 121 | |
| 3 | 2006 | 112 | |
| 4 | 2005 | 50 | |
| 5 | 2007 | 46 | |
| 6 | 2003 | 25 | |
| 7 | 2005 | 8 | |
| 8 | 2005 | 2 | |
| 9 | 2004 | 1 | |
| 10 | Study of motion in a 4D CT using deformable registration | 2005 | 1 |
| 11 | Implementation and evaluation of automatic contour propagation in 4DCT of lung | 2006 | 1 |
| 12 | 2004 | 0 | |
| 13 | Extraction du signal respiratoire a partir de projections cone-beam pour l'imagerie TDM 4D | 2006 | 0 |
| 14 | 2007 | 0 |
About Vlad Boldea
Vlad Boldea is a scholar working on Radiation, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 14 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (14 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiation (300 citations), Computer Vision and Pattern Recognition (232 citations), Radiology, Nuclear Medicine and Imaging (62 citations), Computer Graphics and Computer-Aided Design (3 citations) and Pulmonary and Respiratory Medicine (12 citations). Vlad Boldea has collaborated with scholars based in France and United States. Frequent co-authors include David Sarrut, Gregory Charles Sharp, C. Ginestet, Steve B Jiang, Serge Miguet, Eike Rietzel, Ziji Wu, Sébastien Clippe, Christian Carrie and Pierre-Frédéric Villard. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, Lecture notes in computer science and HAL (Le Centre pour la Communication Scientifique Directe).
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.