Jae‐Bok Song

2.2k citations
119 papers · 1.6k indexed · h-index 23
Topics
Robotics and Sensor-Based Localization (49 papers)Robotic Path Planning Algorithms (36 papers)Robot Manipulation and Learning (26 papers)

In The Last Decade

Jae‐Bok Song

105 papers receiving 1.5k citations

Peers

Jae‐Bok Song
Comparison fields: 5 of 80
  • Control and Systems Engineering 865
  • Biomedical Engineering 529
  • Computer Vision and Pattern Recognition 475
  • Mechanical Engineering 459
  • Aerospace Engineering 403
Replace Jae-Bok Song with:
Jae-Bok Song South Korea
Alessandro Gasparetto Italy
Josep Tornero Spain
Roger Bostelman United States
Tin Lun Lam China
Zhijiang Du China
Chang-Soo Han South Korea
Torsten Kröger Germany
Keyu Wu Singapore
Luca Bascetta Italy
Jae‐Bok Song relative to Jae-Bok Song South Korea Jae-Bok Song's profile →
Citations per field
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Jae-Bok Song · 1×
Citations per year

Countries citing papers authored by Jae‐Bok Song

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Bok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Bok Song. 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 Jae‐Bok Song. The network helps show where Jae‐Bok Song may publish in the future.

Co-authorship network of co-authors of Jae‐Bok Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Bok Song. A scholar is included among the top collaborators of Jae‐Bok Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jae‐Bok Song. Jae‐Bok Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 5
4 6
5 1
6 1
7
Three-dimensional outdoor SLAM Using rotation invariant descriptors of salient regions
0
8 3
9 5
10
Development of SMA-based Wireframe Structure for 2D Shape Display
0
11 1
12 6
13
Coordinated Inventory Model for the Joint Replenishment Supply Chain
1
14 25
15
Improved Exploration Algorithm Using Reliability Index of Thinning Based Topological Nodes
5
16
EXPERIMENT OF CONCRETE FLOOR FINISHING ROBOT
2
17
Tele-Manipulation of ROBHAZ-DT2 for Hazard Environment Applications
5
18
Topological SLAM Based on Voronoi Diagram and Extended Kalman Filter
0
19
Global Topological Map Building Using Local Grid Maps
2
20
Error Model and Accuracy Analysis of a Cubic Parallel Device
7

About Jae‐Bok Song

Jae‐Bok Song is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 119 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (49 papers), Robotic Path Planning Algorithms (36 papers) and Robot Manipulation and Learning (26 papers). The work is most often cited by research in Control and Systems Engineering (865 citations), Computer Vision and Pattern Recognition (475 citations) and Aerospace Engineering (403 citations). Jae‐Bok Song has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Ji-Hoon Kim, Se-Han Lee, David E. Hardt, Munsang Kim, Hong Seok Kim, Min Cheol Kim, Jung-Jun Park, Sungchul Kang, Dongseok Ryu and Alin Albu‐Schäffer. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Smart Materials and Structures and Applied Sciences.

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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