Pakorn Kaewtrakulpong

2.0k citations
30 papers · 363 indexed · h-index 9
Topics
Video Surveillance and Tracking Methods (7 papers)Non-Destructive Testing Techniques (5 papers)Industrial Vision Systems and Defect Detection (5 papers)

In The Last Decade

Pakorn Kaewtrakulpong

28 papers receiving 330 citations

Peers

Pakorn Kaewtrakulpong
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 136
  • Mechanical Engineering 126
  • Control and Systems Engineering 67
  • Civil and Structural Engineering 65
  • Mechanics of Materials 62
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Countries citing papers authored by Pakorn Kaewtrakulpong

Since Specialization
Citations

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

Fields of papers citing papers by Pakorn Kaewtrakulpong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pakorn Kaewtrakulpong

This figure shows the co-authorship network connecting the top 25 collaborators of Pakorn Kaewtrakulpong. A scholar is included among the top collaborators of Pakorn Kaewtrakulpong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pakorn Kaewtrakulpong. Pakorn Kaewtrakulpong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 0
3 2
4 4
5 0
6 8
7
Vessel Segmentation in Retinal Images using Graph-Theoretical Vessel Tracking
4
8 2
9
Ultrasonic inspection system for detecting small flaws at far surface of steel plate
2
10 69
11 6
12 63
13
In∞uence of Scanning Velocity and Gap Distance on Magnetic Flux Leakage Measurement
4
14 8
15 6
16
A Study on Correlation of AE Signals from Difierent AE Sensors in Valve Leakage Rate Detection
3
17 5
18 5
19 2
20 2

About Pakorn Kaewtrakulpong

Pakorn Kaewtrakulpong is a scholar working on Computer Vision and Pattern Recognition, Metals and Alloys and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 363 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Non-Destructive Testing Techniques (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). The work is most often cited by research in Metals and Alloys (25 citations), Computer Vision and Pattern Recognition (136 citations) and Mechanical Engineering (126 citations). Pakorn Kaewtrakulpong has collaborated with scholars based in Thailand, United Kingdom and Indonesia. Frequent co-authors include Asa Prateepasen, Richard Bowden, Bunyarit Uyyanonvara, Wuttipong Kumwilaisak and Chanjira Sinthanayothin. Their work appears in journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and Image and Vision Computing.

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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