Sibel Tarı
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics
- Computer Graphics and Computer-Aided Design top 10%
- Media Technology
- Geology
- Co-authors
- Aykut ErdemErkut ErdemJ. ShahEmre BaşeskiRıza Alp GülerGözde ÜnalHacer Yalım KeleşPing Liang
- Topics
- Image Retrieval and Classification Techniques (12 papers)Medical Image Segmentation Techniques (10 papers)Image Processing and 3D Reconstruction (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- TürkiyeUnited StatesFrance
In The Last Decade
Sibel Tarı
27 papers receiving 248 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 212
- Computational Mechanics 46
- Computer Graphics and Computer-Aided Design 17
- Media Technology 16
- Geology 16
Countries citing papers authored by Sibel Tarı
This map shows the geographic impact of Sibel Tarı'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 Sibel Tarı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sibel Tarı more than expected).
Fields of papers citing papers by Sibel Tarı
This network shows the impact of papers produced by Sibel Tarı. 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 Sibel Tarı. The network helps show where Sibel Tarı may publish in the future.
Co-authorship network of co-authors of Sibel Tarı
This figure shows the co-authorship network connecting the top 25 collaborators of Sibel Tarı. A scholar is included among the top collaborators of Sibel Tarı 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 Sibel Tarı. Sibel Tarı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 56 | |
| 16 | 25 | |
| 17 | 50 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 1 |
About Sibel Tarı
Sibel Tarı is a scholar working on Computer Vision and Pattern Recognition, Geology and Biophysics, having authored 31 papers that have together received 257 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (12 papers), Medical Image Segmentation Techniques (10 papers) and Image Processing and 3D Reconstruction (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Computer Graphics and Computer-Aided Design (17 citations) and Geology (16 citations). Sibel Tarı has collaborated with scholars based in Türkiye, United States and France. Frequent co-authors include Aykut Erdem, Erkut Erdem, J. Shah, Emre Başeski, Rıza Alp Güler, Gözde Ünal, Hacer Yalım Keleş, Ping Liang, Carlotta Domeniconi and Jayant Shah. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.