Article “邦題を複数持つ作品一覧” in Japanese Wikipedia has 9.1 points for quality (as of July 1, 2025). The article contains 0 references and 3 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 0.48 points.
Since the creation of article “邦題を複数持つ作品一覧”, its content was written by 43 registered users of Japanese Wikipedia and edited by 43 registered Wikipedia users in all languages.
The article is cited 10 times in Japanese Wikipedia and cited 10 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 | Japanese: #112652 02.2012 |
Global: #738928 01.2008 |
| Best Rank | Japanese: #7476 05.2007 |
Global: #214777 05.2007 |
On 13 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Diane Keaton, Ed Gein, 2026 FIFA World Cup qualification, 2026 FIFA World Cup, 2026 FIFA World Cup qualification (UEFA), Ian Watkins, 2026 FIFA World Cup qualification (CAF), Ilse Koch, Donald Trump, ChatGPT.
In Japanese Wikipedia the most popular articles on that day were: 玉木雄一郎, 精液, 小泉八雲, 小泉節子, 浜木綿子, 船田元, 山田外美代, 長野久義, 高市早苗, 桐谷広人.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(38.29+0+0+9.68+0)-0.48$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
