Luminita A. Vese
- Computer Vision and Pattern Recognition top 0.05%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Media Technology top 0.1%
- Computational Mechanics top 0.5%
- Artificial Intelligence top 1%
- Co-authors
- Tony F. ChanStanley OsherMarcelo Bertalmı́oGuillermo SapiroAndrés SoléGilles AubertTriet LeCarole Le Guyader
- Topics
- Medical Image Segmentation Techniques (52 papers)Image and Signal Denoising Methods (26 papers)Medical Imaging Techniques and Applications (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesFranceAustria
In The Last Decade
Luminita A. Vese
83 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 10.1k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Media Technology 2.0k
- Computational Mechanics 1.8k
- Artificial Intelligence 1.4k
Countries citing papers authored by Luminita A. Vese
This map shows the geographic impact of Luminita A. Vese'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 Luminita A. Vese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luminita A. Vese more than expected).
Fields of papers citing papers by Luminita A. Vese
This network shows the impact of papers produced by Luminita A. Vese. 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 Luminita A. Vese. The network helps show where Luminita A. Vese may publish in the future.
Co-authorship network of co-authors of Luminita A. Vese
This figure shows the co-authorship network connecting the top 25 collaborators of Luminita A. Vese. A scholar is included among the top collaborators of Luminita A. Vese 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 Luminita A. Vese. Luminita A. Vese 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 | 35 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 34 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | Functional form of motion priors in human motion perception | 4 |
| 11 | 146 | |
| 12 | 84 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 43 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 125 | |
| 19 | Simultaneous structure and texture image inpaintingbreakdown → | 739 |
| 20 | Active contours without edgesbreakdown → | 7132 |
About Luminita A. Vese
Luminita A. Vese is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Computer Graphics and Computer-Aided Design, having authored 91 papers that have together received 13.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (52 papers), Image and Signal Denoising Methods (26 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.1k citations), Media Technology (2.0k citations) and Computer Graphics and Computer-Aided Design (573 citations). Luminita A. Vese has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Tony F. Chan, Stanley Osher, Marcelo Bertalmı́o, Guillermo Sapiro, Andrés Solé, Gilles Aubert, Triet Le, Carole Le Guyader, Eitan Tadmor and Antoni Buades. Their work appears in journals such as NeuroImage, Journal of Computational Physics and IEEE Transactions on Image Processing.
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.