Duygu Ceylan
- Computational Mechanics top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Geology top 0.5%
- Computer Graphics and Computer-Aided Design top 0.5%
- Environmental Engineering top 5%
- Co-authors
- Niloy J. MitraQixing HuangVladimir G. KimMark V. PaulyAlla ShefferI‐Chao ShenLeonidas GuibasHao Su
- Topics
- 3D Shape Modeling and Analysis (20 papers)Advanced Vision and Imaging (16 papers)Computer Graphics and Visualization Techniques (11 papers)
- Journals
- ACM Transactions on GraphicsComputer Graphics Forum2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Duygu Ceylan
35 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Computational Mechanics 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Geology 660
- Computer Graphics and Computer-Aided Design 658
- Environmental Engineering 290
Countries citing papers authored by Duygu Ceylan
This map shows the geographic impact of Duygu Ceylan'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 Duygu Ceylan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duygu Ceylan more than expected).
Fields of papers citing papers by Duygu Ceylan
This network shows the impact of papers produced by Duygu Ceylan. 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 Duygu Ceylan. The network helps show where Duygu Ceylan may publish in the future.
Co-authorship network of co-authors of Duygu Ceylan
This figure shows the co-authorship network connecting the top 25 collaborators of Duygu Ceylan. A scholar is included among the top collaborators of Duygu Ceylan 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 Duygu Ceylan. Duygu Ceylan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 25 | |
| 8 | 21 | |
| 9 | 59 | |
| 10 | 23 | |
| 11 | SwapNet: Garment Transfer in Single View Images | 18 |
| 12 | 150 | |
| 13 | 117 | |
| 14 | 111 | |
| 15 | 34 | |
| 16 | 96 | |
| 17 | A scalable active framework for region annotation in 3D shape collectionsbreakdown → | 724 |
| 18 | 99 | |
| 19 | 3 | |
| 20 | 209 |
About Duygu Ceylan
Duygu Ceylan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (20 papers), Advanced Vision and Imaging (16 papers) and Computer Graphics and Visualization Techniques (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (658 citations), Geology (660 citations) and Computational Mechanics (1.3k citations). Duygu Ceylan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Niloy J. Mitra, Qixing Huang, Vladimir G. Kim, Mark V. Pauly, Alla Sheffer, I‐Chao Shen, Leonidas Guibas, Hao Su, Cewu Lu and Li Yi. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.