Vlad Boldea

574 citations
11 papers · 414 · h-index 6

Impact in

Papers in

Vlad Boldea

9 papers receiving 407 citations

Peers

Vlad Boldea
Comparison fields: 5 of 36
  • Radiation 217
  • Radiology, Nuclear Medicine and Imaging 225
  • Computer Vision and Pattern Recognition 107
  • Pulmonary and Respiratory Medicine 88
  • Biomedical Engineering 57
Replace Dongju Choi with:
Dongju Choi United States
G. Olivera United States
Martin von Siebenthal Switzerland
Sreeram Narayanan United States
Cornel Zachiu Netherlands
Jonathan Orban de Xivry Belgium
Supriyanto Ardjo Pawiro Indonesia
Karsten Østergaard Noe Denmark
Erik-Jan Rijkhorst Netherlands
Donghwi Hwang South Korea
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Citations per field
00.5×1.7×
Dongju Choi · 1×
Citations per year

Countries citing papers authored by Vlad Boldea

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 14 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.

Border = papers with Vlad Boldea Line = papers co-authored together Vlad Boldea links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2008115
2 2008107
3 2006100
4 200545
5 200737
6 20057
7
Simulation of 4D CT images from deformable registration between inhale and exhale breath-hold CT scans
20051
8 20041
9 20051
10 20070
11 20040

About Vlad Boldea

Vlad Boldea is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Biomedical Engineering, having authored 11 papers that have together received 414 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (8 papers), Lung Cancer Diagnosis and Treatment (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (2 papers), Medical Image Segmentation Techniques (1 paper), Advanced X-ray and CT Imaging (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Radiation (217 citations), Radiology, Nuclear Medicine and Imaging (225 citations), Computer Vision and Pattern Recognition (107 citations), Pulmonary and Respiratory Medicine (88 citations) and Biomedical Engineering (57 citations). Vlad Boldea has collaborated with scholars based in France, United States and Germany. Frequent co-authors include David Sarrut, G Sharp, C. Ginestet, Steve Jiang, Serge Miguet, Ziji Wu, Eike Rietzel, C. Carrié, Sébastien Clippe and Michaël Beuve. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, HAL (Le Centre pour la Communication Scientifique Directe) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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.

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