Sungdae Sim

430 citations
16 papers · 320 indexed · h-index 7

Impact in

    • Advanced Optical Sensing Technologies
  • Geology top 5%
    • 3D Surveying and Cultural Heritage

Papers in

Sungdae Sim

16 papers receiving 298 citations

Peers

Sungdae Sim
Comparison fields: 5 of 34
  • Instrumentation 70
  • Geology 71
  • Computer Vision and Pattern Recognition 201
  • Aerospace Engineering 207
  • Environmental Engineering 99
Replace Kiho Kwak with:
Kiho Kwak South Korea
Levente Hajder Hungary
Carlos Guindel Spain
Jorge Beltrán Spain
Daiyi Peng United States
Tim Caselitz Germany
Yifeng Lu China
Ben Caine United States
Liang Xie China
J. Krishna Murthy India
Sungdae Sim relative to Kiho Kwak South Korea Kiho Kwak's profile →
Citations per field
00.5×1.5×
Kiho Kwak · 1×
Citations per year

Countries citing papers authored by Sungdae Sim

Since Specialization
Citations

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

Fields of papers citing papers by Sungdae Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Sungdae Sim, 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 Sungdae Sim Line = papers co-authored together Sungdae Sim links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2014165
2 201635
3 202333
4 201730
5 201411
6 201211
7 20148
8 20145
9 20185
10 20174
11 20124
12 20173
13 20222
14 20172
15 20121
16 20161

About Sungdae Sim

Sungdae Sim is a scholar working on Geology, Instrumentation, Environmental Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 16 papers that have together received 320 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Remote Sensing and LiDAR Applications (8 papers), 3D Surveying and Cultural Heritage (6 papers), Advanced Vision and Imaging (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Optical measurement and interference techniques (3 papers), Advanced Optical Sensing Technologies (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Instrumentation (70 citations), Geology (71 citations), Computer Vision and Pattern Recognition (201 citations), Aerospace Engineering (207 citations) and Environmental Engineering (99 citations). Sungdae Sim has collaborated with scholars based in South Korea and China. Frequent co-authors include Kyungeun Cho, Kyhyun Um, Chee Sun Won, Yoonsu Park, Kiho Kwak, Juil Sock, Inwook Shim, Wei Song, Jonghyun Kim and Young‐Sik Jeong. Their work appears in journals such as Sensors, IEEE Robotics and Automation Letters, Multimedia Tools and Applications, Symmetry and International Journal of Distributed Sensor Networks.

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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