List of people on stamps of Thailand - Wikimedia list article. Article “รายชื่อบุคคลในแสตมป์ไทย” in Thai Wikipedia has 35.7 points for quality (as of July 1, 2025). The article contains 0 references and 30 sections.
Since the creation of article “รายชื่อบุคคลในแสตมป์ไทย”, its content was written by 11 registered users of Thai Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 1 times in Thai Wikipedia and cited 1 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Thai: #37234 12.2017 |
Global: #3782039 08.2018 |
| Best Rank | Thai: #1307 01.2025 |
Global: #510676 01.2025 |
On 7 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ed Gein, Ilse Koch, Lizzie Borden, Anthony Perkins, Monster: The Ed Gein Story, Greta Thunberg, Richard Speck, Psycho, ChatGPT, Charlie Hunnam.
In Thai Wikipedia the most popular articles on that day were: องค์การกระจายเสียงและแพร่ภาพสาธารณะแห่งประเทศไทย, วันออกพรรษา, พิเศษ:ค้นหา, อสมท, กรรชัย กำเนิดพลอย, ทศพล หมายสุข, ตักบาตรเทโว, ธี่หยด 3, เอ็ด กีน, ศุภจี สุธรรมพันธุ์.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(18.32+0+60+100+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
