Taisuke Seki - Japanese scholar of German literature and educator. Article “関泰祐” in Japanese Wikipedia has 4.2 points for quality (as of July 1, 2025). The article contains 0 references and 5 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 0.22 points.
Since the creation of article “関泰祐”, its content was written by 16 registered users of Japanese Wikipedia and edited by 16 registered Wikipedia users in all languages.
The article is cited 30 times in Japanese Wikipedia and cited 30 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: #436781 01.2009 |
Global: #3203650 05.2009 |
| Best Rank | Japanese: #24158 01.2009 |
Global: #524980 01.2009 |
On 21 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Alysa Liu, Eric Dane, 2026 Winter Olympics, Rebecca Gayheart, Johannes Høsflot Klæbo, Wuthering Heights, amyotrophic lateral sclerosis, Andrew Mountbatten-Windsor, John F. Kennedy Jr..
In Japanese Wikipedia the most popular articles on that day were: 髙木美帆, アリサ・リュウ, 中井亜美, 三浦璃来, 髙木菜那, 高橋成美, M!LK, HERO (2015年の映画), 坂本花織, 木原龍一.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.92+0+0+16.13+0)-0.22$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
