Duygu Ceylan

4.8k citations
36 papers · 2.1k · 1 hit paper · h-index 21

Impact in

Papers in

Duygu Ceylan

35 papers receiving 2.1k citations

Duygu Ceylan's Hit Papers

A scalable active framework for region annotation in 3D shape collections 2016 · 745 citations
7450+3+6Years since publication200400600

Peers

Duygu Ceylan
Comparison fields: 5 of 102
  • Computer Graphics and Computer-Aided Design 674
  • Geology 672
  • Computational Mechanics 1.3k
  • Computer Vision and Pattern Recognition 1.2k
  • Environmental Engineering 296
Replace Siddhartha Chaudhuri with:
Siddhartha Chaudhuri United States
Aleksey Golovinskiy United States
Matthias NieBner Germany
Maciej Halber United States
Adrien Bousseau France
Linguang Zhang United States
Youyi Zheng China
Shiqing Xin China
Shubham Tulsiani United States
Zhi‐Quan Cheng China
Duygu Ceylan relative to Siddhartha Chaudhuri United States Siddhartha Chaudhuri's profile →
Citations per field
00.5×1.5×2.3×
Siddhartha Chaudhuri · 1×
Citations per year

Countries citing papers authored by Duygu Ceylan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Duygu Ceylan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Duygu Ceylan Line = papers co-authored together Duygu Ceylan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A scalable active framework for region annotation in 3D shape collections
Hit paper breakdown →
2016745
2 2013217
3 2017154
4 2017116
5 2017114
6 2016101
7 201797
8 201389
9 201960
10 201734
11 201732
12 201228
13 202028
14 201727
15 201526
16 202125
17 202124
18 201824
19 202122
20 202121

About Duygu Ceylan

Duygu Ceylan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Geology and Control and Systems Engineering, 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), Computer Graphics and Visualization Techniques (11 papers), 3D Surveying and Cultural Heritage (7 papers), Human Motion and Animation (6 papers), Human Pose and Action Recognition (6 papers), Image Processing and 3D Reconstruction (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (674 citations), Geology (672 citations), Computational Mechanics (1.3k citations), Computer Vision and Pattern Recognition (1.2k citations) and Environmental Engineering (296 citations). Duygu Ceylan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Niloy J. Mitra, Qixing Huang, Vladimir G. Kim, Mark V. Pauly, I‐Chao Shen, Alla Sheffer, Leonidas Guibas, Li Yi, Hao Su and Cewu Lu. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, View, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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.

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