F.G. Pin

1.5k citations
68 papers · 985 · h-index 15

Impact in

Papers in

F.G. Pin

59 papers receiving 901 citations

Peers

F.G. Pin
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 659
  • Control and Systems Engineering 668
  • Energy Engineering and Power Technology 38
  • Biomedical Engineering 323
  • Human-Computer Interaction 35
Replace Haoxiang Lang with:
Haoxiang Lang Canada
So-Ryeok Oh United States
Chian‐Song Chiu Taiwan
Matthew W. Dunnigan United Kingdom
Max Suell Dutra Brazil
Michael L. McIntyre United States
Hồ Phạm Huy Ánh Vietnam
Asgar Bradaran Rahimi Iran
G. Honderd Netherlands
F.G. Pin relative to Haoxiang Lang Canada Haoxiang Lang's profile →
Citations per field
00.5×2.8×
Haoxiang Lang · 1×
Citations per year

Countries citing papers authored by F.G. Pin

Since Specialization
Citations

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

Fields of papers citing papers by F.G. Pin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994344
2 199472
3 200569
4 198939
5 199430
6 199428
7 200427
8 200326
9 198623
10 199623
11 200223
12 199920
13 200918
14 199316
15 199215
16 199012
17 198912
18 198911
19 200211
20 200210

About F.G. Pin

F.G. Pin is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering and Aerospace Engineering, having authored 68 papers that have together received 985 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (35 papers), AI-based Problem Solving and Planning (17 papers), Control and Dynamics of Mobile Robots (14 papers), Fuzzy Logic and Control Systems (12 papers), Robot Manipulation and Learning (12 papers), Robotic Mechanisms and Dynamics (11 papers), Robotics and Sensor-Based Localization (7 papers) and Teleoperation and Haptic Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (659 citations), Control and Systems Engineering (668 citations), Energy Engineering and Power Technology (38 citations), Biomedical Engineering (323 citations) and Human-Computer Interaction (35 citations). F.G. Pin has collaborated with scholars based in United States. Frequent co-authors include S.M. Killough, David B. Reister, Yutaka Watanabe, J.C. Culioli, J.F. Jansen, Randall F. Lind, C.R. Weisbin, Lonnie Love, Bradley Richardson and G. de Saussure. Their work appears in journals such as Robotica, IEEE Transactions on Robotics and Automation, Nuclear Science and Engineering, Robotics and Autonomous Systems and Knowledge-Based Systems.

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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