Tomoyasu Higa - Japanese novelist. Article "比嘉智康" in Japanese Wikipedia has 7.8 points for quality (as of November 1, 2023). The article contains 1 references and 8 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "比嘉智康", its content was written by 15 registered users of Japanese Wikipedia and edited by 15 registered Wikipedia users in all languages.
The article is cited 13 times in Japanese Wikipedia and cited 13 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Japanese: #152954 09.2011 |
Global: #980345 09.2011 |
| Best Rank | Japanese: #14736 05.2020 |
Global: #510383 06.2011 |
On 11 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, ChatGPT, 2026 FIFA World Cup qualification (AFC), Cristiano Ronaldo, YouTube, UEFA European Championship, deaths in 2024, Malawi, 2024 European Athletics Championships, Hunter Biden.
In Japanese Wikipedia the most popular articles on that day were: ホテルニュージャパン火災, 池脇千鶴, 横井英樹, 神戸蘭子, 三浦宏規, 磯山晶, 吉田羊, 武尊, 若葉竜也, 日本航空350便墜落事故.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.14+0.37+0+25.81+11.82)-0.41$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
