Article “รายชื่อโบราณสถานในกรุงเทพมหานคร (เขตพระนคร)” in Thai Wikipedia has 49.3 points for quality (as of July 1, 2025). The article contains 33 references and 2 sections.
Since the creation of article “รายชื่อโบราณสถานในกรุงเทพมหานคร (เขตพระนคร)”, its content was written by 14 registered users of Thai Wikipedia and edited by 14 registered Wikipedia users in all languages.
The article is cited 249 times in Thai Wikipedia (8200th place) and cited 249 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: #11774 03.2023 |
Global: #1495401 03.2023 |
On 26 September 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Claudia Cardinale, One Battle After Another, ChatGPT, Alice in Borderland, Guinness, deaths in 2025, Benjamin Netanyahu, Assata Shakur, Charlie Kirk, Arthur Guinness.
In Thai Wikipedia the most popular articles on that day were: องค์การกระจายเสียงและแพร่ภาพสาธารณะแห่งประเทศไทย, พิเศษ:ค้นหา, อนุทิน ชาญวีรกูล, วอลเลย์บอลชายชิงแชมป์โลก 2025, อสมท, อัษฎา พานิชกุล, ศุภจี สุธรรมพันธุ์, มัลลิกา มหาสุข, นรสิงห์, ซาบีดา ไทยเศรษฐ์.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(69.17+28.95+100+9.52+38.76)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
