Kooktae Lee

601 citations
38 papers · 376 · h-index 10

Impact in

Papers in

Kooktae Lee

31 papers receiving 361 citations

Peers

Kooktae Lee
Comparison fields: 5 of 58
  • Aerospace Engineering 183
  • Computer Vision and Pattern Recognition 134
  • Control and Systems Engineering 130
  • Computer Networks and Communications 96
  • Automotive Engineering 41
Replace Alessandro Benini with:
Alessandro Benini Italy
Sherif A. S. Mohamed Finland
Daniel Gurdan United States
R. Sutton United Kingdom
Mohammadreza Radmanesh United States
Jan Stumpf United States
Mohamed Abdelkader Saudi Arabia
Widyawardana Adiprawita Indonesia
Tim Barfoot Canada
Yunfeng Wang United States
Kooktae Lee relative to Alessandro Benini Italy Alessandro Benini's profile →
Citations per field
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Alessandro Benini · 1×
Citations per year

Countries citing papers authored by Kooktae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kooktae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Kooktae Lee, 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 Kooktae Lee Line = papers co-authored together Kooktae Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 201039
3 201534
4 201133
5 200628
6 201925
7 200825
8 202116
9 201416
10 201916
11 20209
12 20218
13 20207
14 20157
15 20186
16 20196
17 20155
18 20205
19 20205
20 20185

About Kooktae Lee

Kooktae Lee is a scholar working on Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Astronomy and Astrophysics, having authored 38 papers that have together received 376 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (16 papers), Robotic Path Planning Algorithms (10 papers), UAV Applications and Optimization (8 papers), Stability and Control of Uncertain Systems (6 papers), Robotics and Sensor-Based Localization (5 papers), Control and Dynamics of Mobile Robots (4 papers), Advanced Control Systems Optimization (3 papers) and Smart Parking Systems Research (3 papers). The work is most often cited by research in Aerospace Engineering (183 citations), Computer Vision and Pattern Recognition (134 citations), Control and Systems Engineering (130 citations), Computer Networks and Communications (96 citations) and Automotive Engineering (41 citations). Kooktae Lee has collaborated with scholars based in United States, South Korea and Iran. Frequent co-authors include Raktim Bhattacharya, Woojin Chung, Mostafa Hassanalian, Abhishek Halder, Dal Hyung Kim, Michael Z. Lin, Vijay Gupta, Rabi Mahapatra, Jorge Cortés and Mark B. Milam. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Applied Sciences, International Journal of Systems Science, Mechatronics and Journal of Guidance Control and Dynamics.

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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