Y. Yemez
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Computational Mechanics top 5%
- Artificial Intelligence top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Co-authors
- Engin ErzinA. Murat TekalpYusuf SahillioğluBülent SankurMehmet Emre SarginFrancis SchmittCeyhun Burak AkgülH. Ertan Çetingül
- Topics
- 3D Shape Modeling and Analysis (27 papers)Computer Graphics and Visualization Techniques (19 papers)Speech and Audio Processing (18 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- TürkiyeFranceUnited States
In The Last Decade
Y. Yemez
89 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 933
- Signal Processing 433
- Computational Mechanics 338
- Artificial Intelligence 238
- Computer Graphics and Computer-Aided Design 186
Countries citing papers authored by Y. Yemez
This map shows the geographic impact of Y. Yemez'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 Y. Yemez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Yemez more than expected).
Fields of papers citing papers by Y. Yemez
This network shows the impact of papers produced by Y. Yemez. 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 Y. Yemez. The network helps show where Y. Yemez may publish in the future.
Co-authorship network of co-authors of Y. Yemez
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Yemez. A scholar is included among the top collaborators of Y. Yemez 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 Y. Yemez. Y. Yemez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 87 | |
| 8 | 20 | |
| 9 | 55 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 79 | |
| 13 | 29 | |
| 14 | 26 | |
| 15 | 16 | |
| 16 | 50 | |
| 17 | 15 | |
| 18 | 3D Progressive Compression with Octree Particles. | 1 |
| 19 | 56 | |
| 20 | 1 |
About Y. Yemez
Y. Yemez is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (27 papers), Computer Graphics and Visualization Techniques (19 papers) and Speech and Audio Processing (18 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (186 citations), Computer Vision and Pattern Recognition (933 citations) and Signal Processing (433 citations). Y. Yemez has collaborated with scholars based in Türkiye, France and United States. Frequent co-authors include Engin Erzin, A. Murat Tekalp, Yusuf Sahillioğlu, Bülent Sankur, Mehmet Emre Sargin, Francis Schmitt, Ceyhun Burak Akgül, H. Ertan Çetingül, Ferda Ofli and Elif Bozkurt. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.