F.C. Park

1.1k citations
16 papers · 904 · 1 hit paper · h-index 10

Impact in

Papers in

F.C. Park

16 papers receiving 870 citations

F.C. Park's Hit Papers

Robot sensor calibration: solving AX=XB on the Euclidean group 1994 · 462 citations
4620+10+21Years since publication100200300400

Peers

F.C. Park
Comparison fields: 5 of 45
  • Control and Systems Engineering 588
  • Computer Vision and Pattern Recognition 248
  • Aerospace Engineering 158
  • Biomedical Engineering 106
  • Mechanical Engineering 87
Replace Federico Augugliaro with:
Federico Augugliaro Switzerland
Taku Senoo Japan
Hanxu Sun China
Nobuyuki Kita Japan
Enrico Simetti Italy
Alper Aydemir Sweden
Zvi S. Roth United States
Àngel Santamaria‐Navarro Spain
Jianqing Peng China
Roi Poranne Israel
F.C. Park relative to Federico Augugliaro Switzerland Federico Augugliaro's profile →
Citations per field
00.5×2×2.6×
Federico Augugliaro · 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 13 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 →
1994462
2 1994117
3 2005115
4 201358
5 200835
6 200226
7 200222
8 200215
9 200714
10 200313
11 20108
12 20095
13 20105
14 20024
15 20073
16 19992

About F.C. Park

F.C. Park is a scholar working on Control and Systems Engineering, Numerical Analysis, Computer Vision and Pattern Recognition, Automotive Engineering and Applied Mathematics, having authored 16 papers that have together received 904 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (8 papers), Control and Dynamics of Mobile Robots (2 papers), Dynamics and Control of Mechanical Systems (2 papers), Hydraulic and Pneumatic Systems (1 paper), Inertial Sensor and Navigation (1 paper), Human Motion and Animation (1 paper), Statistical and numerical algorithms (1 paper) and Robotic Locomotion and Control (1 paper). The work is most often cited by research in Control and Systems Engineering (588 citations), Computer Vision and Pattern Recognition (248 citations), Aerospace Engineering (158 citations), Biomedical Engineering (106 citations) and Mechanical Engineering (87 citations). F.C. Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include James E. Bobrow, Munsang Kim, Jung-Gon Kim, Sung-Hee Lee, Junhyoung Ha, Young Bum Kim, Jungyun Kim, A. Sideris, Kyoung Mu Lee and Seung‐Jin Yoo. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Automatic Control, IEEE Transactions on Robotics, IEEE Transactions on Robotics and Automation and Journal of Vibration and Control.

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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