Keisuke Hatsuta - Japanese announcer. Article "初田啓介" in Japanese Wikipedia has 28.1 points for quality (as of August 1, 2024). The article contains 35 references and 16 sections. The article also contains quality flaw template, which reduce quality score.
In July 2024 the article "初田啓介" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "初田啓介", its content was written by 69 registered users of Japanese Wikipedia and edited by 69 registered Wikipedia users in all languages.
The article is cited 656 times in Japanese Wikipedia and cited 656 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 | Japanese: #1603 10.2016 |
Global: #48428 10.2016 |
| Best Rank | Japanese: #3034 03.2017 |
Global: #159856 01.2005 |
On 13 April 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Palm Sunday, Black Mirror, Rory McIlroy, ChatGPT, Alexander Volkanovski, A Minecraft Movie, Paddy Pimblett, Adolescence, list of Black Mirror episodes, Diego Lopes.
In Japanese Wikipedia the most popular articles on that day were: 徳川家基, 平賀源内, 田沼意次, 鄭大世, やなせたかし, 国際博覧会, 徳川家治, 広末涼子, ローリー・マキロイ, 仲里依紗.
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
