Jae‐Bok Song

106 papers and 1.2k indexed citations i.

About

Jae‐Bok Song is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jae‐Bok Song has authored 106 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Aerospace Engineering, 45 papers in Computer Vision and Pattern Recognition and 45 papers in Control and Systems Engineering. Recurrent topics in Jae‐Bok Song’s work include Robotics and Sensor-Based Localization (42 papers), Robotic Path Planning Algorithms (32 papers) and Robot Manipulation and Learning (23 papers). Jae‐Bok Song is often cited by papers focused on Robotics and Sensor-Based Localization (42 papers), Robotic Path Planning Algorithms (32 papers) and Robot Manipulation and Learning (23 papers). Jae‐Bok Song collaborates with scholars based in South Korea, United States and Canada. Jae‐Bok Song's co-authors include Se-Han Lee, David E. Hardt, Hong Seok Kim, Jung-Jun Park, Min Cheol Kim, Sami Haddadin, Alin Albu‐Schäffer, Soo‐Yong Lee, Byeong-Sang Kim and Keum‐Shik Hong and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Smart Materials and Structures and IEEE/ASME Transactions on Mechatronics.

In The Last Decade

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

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.

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).

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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