Liana Stănescu
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Information Systems
- Computer Networks and Communications
- Molecular Biology
- Co-authors
- Dumitru Dan BurdescuMarius BrezovanȘtefan UdriștoiuDan SelișteanuRadu‐Emil PrecupElvira Popescu
- Topics
- Image Retrieval and Classification Techniques (28 papers)Advanced Image and Video Retrieval Techniques (17 papers)Medical Image Segmentation Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingEURASIP Journal on Advances in Signal Processing
In The Last Decade
Liana Stănescu
45 papers receiving 148 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 35
- Information Systems 33
- Computer Networks and Communications 31
- Molecular Biology 14
Countries citing papers authored by Liana Stănescu
This map shows the geographic impact of Liana Stănescu'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 Liana Stănescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liana Stănescu more than expected).
Fields of papers citing papers by Liana Stănescu
This network shows the impact of papers produced by Liana Stănescu. 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 Liana Stănescu. The network helps show where Liana Stănescu may publish in the future.
Co-authorship network of co-authors of Liana Stănescu
This figure shows the co-authorship network connecting the top 25 collaborators of Liana Stănescu. A scholar is included among the top collaborators of Liana Stănescu 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 Liana Stănescu. Liana Stănescu 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | A Spatial Segmentation Method. | 1 |
| 8 | Automated annotation of natural images using an extended annotation model. | 1 |
| 9 | 2 | |
| 10 | 3 | |
| 11 | A Graphical Interface for Evaluating Three Graph-Based Image Segmentation. | 1 |
| 12 | Boundary-Based Performance Evaluation of a Salient Visual Object Detection Algorithm. | 2 |
| 13 | 6 | |
| 14 | 1 | |
| 15 | A Graphical Interface For Medical E-Learning. | 0 |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | On-line software system for content-based visual query of a color medical imagery. | 5 |
| 20 | MEDIM - software system for content-based visual retrieval study in databases with medical images. | 3 |
About Liana Stănescu
Liana Stănescu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Software, having authored 54 papers that have together received 170 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (28 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Media Technology (13 citations) and Information Systems (33 citations). Liana Stănescu has collaborated with scholars based in Romania and Pakistan. Frequent co-authors include Dumitru Dan Burdescu, Marius Brezovan, Ștefan Udriștoiu, Dan Selișteanu, Radu‐Emil Precup and Elvira Popescu. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and EURASIP Journal on Advances in Signal 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.