F.C. Park

1.1k citations
16 papers · 881 · 1 hit paper · h-index 10

Impact in

Papers in

F.C. Park

16 papers receiving 840 citations

F.C. Park's Hit Papers

Robot sensor calibration: solving AX=XB on the Euclidean group 1994 · 447 citations
4470+10+21Years since publication100200300400

Peers

F.C. Park
Comparison fields: 5 of 68
  • Control and Systems Engineering 520
  • Computer Vision and Pattern Recognition 377
  • Aerospace Engineering 214
  • Human-Computer Interaction 47
  • Mechanical Engineering 245
Replace Takashi Yoshimi with:
Takashi Yoshimi Japan
Fadi Dornaika Spain
Jonathan Cacace Italy
B. Faverjon France
Wim Meeussen United States
Taku Senoo Japan
Justin Carpentier France
Matteo Fumagalli Denmark
Naoji Shiroma Japan
Max Schwarz Germany
F.C. Park relative to Takashi Yoshimi Japan Takashi Yoshimi's profile →
Citations per field
00.5×3.9×
Takashi Yoshimi · 1×
Citations per year

Countries citing papers authored by F.C. Park

Since Specialization
Citations

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

Fields of papers citing papers by F.C. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.C. 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 F.C. Park. The network helps show where F.C. Park may publish in the future.

Co-authors

The 16 scholars most cited alongside F.C. 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 F.C. Park Line = papers co-authored together F.C. Park links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Robot sensor calibration: solving AX=XB on the Euclidean group
Hit paper breakdown →
1994447
2 1994116
3 2005110
4 201356
5 200836
6 200227
7 200222
8 200214
9 200313
10 200713
11 20108
12 20105
13 20095
14 20074
15 20024
16 20131

About F.C. Park

F.C. Park is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Mechanical Engineering, having authored 16 papers that have together received 881 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (9 papers), Robotic Path Planning Algorithms (4 papers), Control and Dynamics of Mobile Robots (3 papers), Dynamics and Control of Mechanical Systems (3 papers), Robotic Locomotion and Control (2 papers), Soil Mechanics and Vehicle Dynamics (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Control and Systems Engineering (520 citations), Computer Vision and Pattern Recognition (377 citations), Aerospace Engineering (214 citations), Human-Computer Interaction (47 citations) and Mechanical Engineering (245 citations). F.C. Park has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include J.E. Bobrow, Munsang Kim, Jung-Gon Kim, Sung-Hee Lee, Kwon Junghyun, Jungyun Kim, Junhyoung Ha, Young Bum Kim, Jong Hyun Baek and A. Sideris. Their work appears in journals such as Automation in Construction, The International Journal of Robotics Research, IEEE Transactions on Automatic Control, Lecture notes in control and information sciences and IEEE Transactions on Robotics and Automation.

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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