Ersin Yumer

6.5k citations
30 papers · 1.9k · h-index 17

Impact in

Papers in

Ersin Yumer

29 papers receiving 1.9k citations

Peers

Ersin Yumer
Comparison fields: 5 of 103
  • Computer Graphics and Computer-Aided Design 637
  • Computer Vision and Pattern Recognition 1.5k
  • Geology 234
  • Computational Mechanics 722
  • Human-Computer Interaction 59
Replace Shubham Tulsiani with:
Shubham Tulsiani United States
Nathan Carr United States
Mathieu Aubry France
Guillaume Lavoué France
Tokiichiro Takahashi Japan
Avneesh Sud United States
Siddhartha Chaudhuri United States
Daniel Ritchie United States
Chen-Hsuan Lin United States
Lu Sheng China
Ersin Yumer relative to Shubham Tulsiani United States Shubham Tulsiani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ersin Yumer

Since Specialization
Citations

This map shows the geographic impact of Ersin Yumer'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 Ersin Yumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ersin Yumer more than expected).

Fields of papers citing papers by Ersin Yumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ersin Yumer. 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 Ersin Yumer. The network helps show where Ersin Yumer may publish in the future.

Co-authors

The 25 scholars most cited alongside Ersin Yumer, 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 Ersin Yumer Line = papers co-authored together Ersin Yumer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017190
2 2017183
3 2017168
4 2017154
5 2017140
6 2016136
7 2017125
8 2017122
9 2017116
10 201797
11 201890
12 201976
13 201664
14 202162
15 202149
16
Self-supervised learning of motion capture
201744
17 202118
18 202013
19 201711
20 201811

About Ersin Yumer

Ersin Yumer is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Artificial Intelligence, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), 3D Shape Modeling and Analysis (9 papers), Human Pose and Action Recognition (8 papers), Computer Graphics and Visualization Techniques (7 papers), 3D Surveying and Cultural Heritage (5 papers), Human Motion and Animation (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Processing and 3D Reconstruction (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (637 citations), Computer Vision and Pattern Recognition (1.5k citations), Geology (234 citations), Computational Mechanics (722 citations) and Human-Computer Interaction (59 citations). Ersin Yumer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Duygu Ceylan, Kalyan Sunkavalli, Radomír Měch, Siddhartha Chaudhuri, Xinchen Yan, Vladimir G. Kim, Evangelos Kalogerakis, Leonidas Guibas, Jun Li and Hao Zhang. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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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