Article "สมพล รุ่งพาณิชย์" in Thai Wikipedia has 12.1 points for quality (as of August 1, 2024). The article contains 2 references and 6 sections.
In July 2024 the article "สมพล รุ่งพาณิชย์" was edited by 1 authors in Thai Wikipedia (7419th place) and written by 1 authors in all languages.
Since the creation of article "สมพล รุ่งพาณิชย์", its content was written by 21 registered users of Thai Wikipedia and edited by 21 registered Wikipedia users in all languages.
The article is cited 21 times in Thai Wikipedia and cited 21 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 August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | Thai: #39 12.2023 |
Global: #67081 12.2023 |
On 12 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, 2024–25 UEFA Champions League, UEFA Champions League, Diego Simeone, Kim Sae-ron, Kim Soo-hyun, Greenland, Giuliano Simeone, Donald Trump, ChatGPT.
In Thai Wikipedia the most popular articles on that day were: คิม แซ-รน, คิม ซู-ฮย็อน, องค์การกระจายเสียงและแพร่ภาพสาธารณะแห่งประเทศไทย, วอน บิน, สมยศ พุ่มพันธุ์ม่วง, คุณพี่เจ้าขาดิฉันเป็นห่านมิใช่หงส์, พิเศษ:ค้นหา, อสมท, ยูฟ่าแชมเปียนส์ลีก, นวลพรรณ ล่ำซำ.
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 August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
