Gwi-Tae Park

1.4k citations
139 papers · 1.1k · h-index 15

Impact in

Papers in

Gwi-Tae Park

120 papers receiving 983 citations

Peers

Gwi-Tae Park
Comparison fields: 5 of 81
  • Control and Systems Engineering 589
  • Artificial Intelligence 274
  • Computer Vision and Pattern Recognition 157
  • Electrical and Electronic Engineering 327
  • Computer Networks and Communications 110
Replace Anjan Rakshit with:
Anjan Rakshit India
Jin S. Lee South Korea
Jaime Pacheco Mexico
Ching‐Chang Wong Taiwan
Ju-Jang Lee South Korea
Sohrab Khanmohammadi Iran
Jesús Alberto Meda-Campaña Mexico
Ching‐Cheng Teng Taiwan
Chih‐Min Lin Taiwan
Joni Pajarinen Finland
Gwi-Tae Park relative to Anjan Rakshit India Anjan Rakshit's profile →
Citations per field
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Anjan Rakshit · 1×
Citations per year

Countries citing papers authored by Gwi-Tae Park

Since Specialization
Citations

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

Fields of papers citing papers by Gwi-Tae Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwi-Tae Park. 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 Gwi-Tae Park. The network helps show where Gwi-Tae Park may publish in the future.

Co-authors

The 25 scholars most cited alongside Gwi-Tae Park, 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 Gwi-Tae Park Line = papers co-authored together Gwi-Tae Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001131
2 2002118
3 2005108
4 200469
5 201237
6 200635
7 200931
8 200523
9 199922
10 201120
11
Study on the Mobility of Service Robots
201218
12 200416
13 200416
14 200915
15
Sensorless Speed Control System Using a Neural Network
200514
16 200414
17 201214
18 200913
19 200912
20 200712

About Gwi-Tae Park

Gwi-Tae Park is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 139 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (27 papers), Fuzzy Logic and Control Systems (26 papers), Robotic Locomotion and Control (16 papers), Robotic Path Planning Algorithms (15 papers), Adaptive Control of Nonlinear Systems (14 papers), Robotics and Sensor-Based Localization (12 papers), Energy Efficient Wireless Sensor Networks (11 papers) and Robotics and Automated Systems (11 papers). The work is most often cited by research in Control and Systems Engineering (589 citations), Artificial Intelligence (274 citations), Computer Vision and Pattern Recognition (157 citations), Electrical and Electronic Engineering (327 citations) and Computer Networks and Communications (110 citations). Gwi-Tae Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jang‐Hyun Park, Dong-Won Kim, Seong-Hwan Kim, Chae-Joo Moon, Ji-Yoon Yoo, Tae‐Sik Park, Seong-Hwan Kim, Sung-Hoe Huh, Younggoo Kwon and Yong-Guk Kim. Their work appears in journals such as Fuzzy Sets and Systems, Lecture notes in computer science, Lecture notes in control and information sciences, IEEE Transactions on Consumer Electronics and ETRI Journal.

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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