Suphakant Phimoltares

630 total citations
52 papers, 424 citations indexed

About

Suphakant Phimoltares is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Suphakant Phimoltares has authored 52 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Suphakant Phimoltares's work include Biometric Identification and Security (8 papers), Face and Expression Recognition (7 papers) and Image Retrieval and Classification Techniques (6 papers). Suphakant Phimoltares is often cited by papers focused on Biometric Identification and Security (8 papers), Face and Expression Recognition (7 papers) and Image Retrieval and Classification Techniques (6 papers). Suphakant Phimoltares collaborates with scholars based in Thailand and China. Suphakant Phimoltares's co-authors include Chidchanok Lursinsap, Saichon Jaiyen, Nagul Cooharojananone, Kosin Chamnongthai, Aran Hansuebsai, Suthat Fucharoen and Sissades Tongsima and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Suphakant Phimoltares

46 papers receiving 391 citations

Peers

Suphakant Phimoltares
Comparison fields: 5 of 88
  • Artificial Intelligence 150
  • Computer Vision and Pattern Recognition 132
  • Information Systems 90
  • Signal Processing 64
  • Human-Computer Interaction 38
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Alceu de Souza Britto Brazil
V. M. Thakare India
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Meiyi Ma United States
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Citations per field, relative to Suphakant Phimoltares
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Citations per year, relative to Suphakant Phimoltares
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Countries citing papers authored by Suphakant Phimoltares

Since Specialization
Citations

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

Fields of papers citing papers by Suphakant Phimoltares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suphakant Phimoltares

This figure shows the co-authorship network connecting the top 25 collaborators of Suphakant Phimoltares. A scholar is included among the top collaborators of Suphakant Phimoltares 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 Suphakant Phimoltares. Suphakant Phimoltares 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
# Work Indexed citations
1 0
2 0
3 2
4 0
5 5
6 9
7 1
8 5
9 1
10 5
11 5
12 8
13 1
14 41
15 10
16 3
17 0
18 21
19 15
20 29

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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