Stephen Baek

60 papers receiving 852 citations

Peers

Stephen Baek
Comparison fields: 5 of 137
  • Computer Graphics and Computer-Aided Design 41
  • Health Informatics 11
  • Human-Computer Interaction 42
  • Computer Vision and Pattern Recognition 155
  • Computational Mechanics 121
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Cheng Yang China
Evgeni Magid Russia
Hajime Nagahara Japan
Peng Yuan China
Hélder Araújo Portugal
Seung-Hyun Lee South Korea
Wilhelm Stork Germany
Takayuki Matsuno Japan
YingLiang Ma United Kingdom
Zhenglong Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Baek

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019134
2 201092
3 201970
4 202253
5 202042
6 201336
7 202131
8 201724
9 202123
10 201219
11 202317
12 201417
13 201817
14 202316
15 202316
16 201716
17 202315
18 201315
19 202015
20 201613

About Stephen Baek

Stephen Baek is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry, having authored 65 papers that have together received 880 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (12 papers), Advanced Numerical Analysis Techniques (6 papers), Human Pose and Action Recognition (5 papers), Analog and Mixed-Signal Circuit Design (5 papers), Machine Learning in Materials Science (5 papers), Computer Graphics and Visualization Techniques (5 papers), Model Reduction and Neural Networks (5 papers) and Advancements in Semiconductor Devices and Circuit Design (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (41 citations), Health Informatics (11 citations), Human-Computer Interaction (42 citations), Computer Vision and Pattern Recognition (155 citations) and Computational Mechanics (121 citations). Stephen Baek has collaborated with scholars based in United States, South Korea and Finland. Frequent co-authors include Kunwoo Lee, Yusen He, Zhiyu Sun, Tinghui Ouyang, Huajin Li, Phong Nguyen, H. S. Udaykumar, Seung‐Tak Ryu, Nikolaos N. Vlassis and WaiChing Sun. Their work appears in journals such as Scientific Reports, Journal of Computational Design and Engineering, Computer-Aided Design, Journal of Applied Physics and Propellants Explosives Pyrotechnics.

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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