Oana G. Cula
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence
- Co-authors
- Kristin DanaFrank MurphyBabar RaoDongsheng WangDinesh K. PaiInge GavătJing Wang
- Topics
- Computer Graphics and Visualization Techniques (7 papers)Advanced Vision and Imaging (4 papers)Neural Networks and Applications (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionBiophysics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Biomedical EngineeringInternational Journal of Computer Vision
- Partner nations
- United StatesRomaniaCanada
In The Last Decade
Oana G. Cula
16 papers receiving 350 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 263
- Computer Graphics and Computer-Aided Design 63
- Computational Mechanics 50
- Atomic and Molecular Physics, and Optics 48
- Artificial Intelligence 44
Countries citing papers authored by Oana G. Cula
This map shows the geographic impact of Oana G. Cula'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 Oana G. Cula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oana G. Cula more than expected).
Fields of papers citing papers by Oana G. Cula
This network shows the impact of papers produced by Oana G. Cula. 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 Oana G. Cula. The network helps show where Oana G. Cula may publish in the future.
Co-authorship network of co-authors of Oana G. Cula
This figure shows the co-authorship network connecting the top 25 collaborators of Oana G. Cula. A scholar is included among the top collaborators of Oana G. Cula 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 Oana G. Cula. Oana G. Cula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 78 | |
| 7 | 50 | |
| 8 | 14 | |
| 9 | 31 | |
| 10 | 10 | |
| 11 | 118 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | Image-based Skin Analysis | 15 |
| 16 | 29 |
About Oana G. Cula
Oana G. Cula is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 16 papers that have together received 378 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Advanced Vision and Imaging (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (63 citations), Computer Vision and Pattern Recognition (263 citations) and Biophysics (24 citations). Oana G. Cula has collaborated with scholars based in United States, Romania and Canada. Frequent co-authors include Kristin Dana, Frank Murphy, Babar Rao, Dongsheng Wang, Dinesh K. Pai, Inge Gavăt and Jing Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and International Journal of Computer Vision.
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.