Sungdae Sim

448 citations
17 papers · 349 · h-index 7

Impact in

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

Papers in

Sungdae Sim

17 papers receiving 331 citations

Peers

Sungdae Sim
Comparison fields: 5 of 34
  • Instrumentation 76
  • Geology 78
  • Computer Vision and Pattern Recognition 217
  • Aerospace Engineering 219
  • Environmental Engineering 109
Replace Levente Hajder with:
Levente Hajder Hungary
Yeong Sang Park South Korea
J. Krishna Murthy India
Tim Caselitz Germany
Liang Xie China
Lucas Nunes Germany
Rodrigo Marcuzzi Germany
Fanze Kong Hong Kong
Younghun Cho South Korea
Ahmad El Sallab Egypt
Sungdae Sim relative to Levente Hajder Hungary Levente Hajder's profile →
Citations per field
00.5×1.5×
Levente Hajder · 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 17 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

17 of 17 papers shown
#Work
1 2014177
2 201638
3 202338
4 201733
5 201213
6 201411
7 20148
8 20145
9 20185
10 20124
11 20154
12 20174
13 20173
14 20222
15 20172
16 20161
17 20121

About Sungdae Sim

Sungdae Sim is a scholar working on Environmental Engineering, Geology, Aerospace Engineering, Computer Vision and Pattern Recognition and Instrumentation, having authored 17 papers that have together received 349 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Remote Sensing and LiDAR Applications (9 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 (3 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Instrumentation (76 citations), Geology (78 citations), Computer Vision and Pattern Recognition (217 citations), Aerospace Engineering (219 citations) and Environmental Engineering (109 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, Symmetry, Multimedia Tools and Applications, IEEE Robotics and Automation Letters and International Journal of Advanced Robotic Systems.

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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