Minister of Justice - cabinet position in South Korea. Article “대한민국의 법무부 장관” in Korean Wikipedia has 21.6 points for quality (as of July 1, 2025). The article contains 8 references and 7 sections.
In June 2025 the article “대한민국의 법무부 장관” was edited by 4 authors in Korean Wikipedia (1269th place) and written by 4 authors in all languages.
Since the creation of article “대한민국의 법무부 장관”, its content was written by 43 registered users of Korean Wikipedia and edited by 43 registered Wikipedia users in all languages.
The article is cited 530 times in Korean Wikipedia and cited 530 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 | Korean: #21 09.2019 |
Global: #43650 09.2019 |
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 Korean Wikipedia the most popular articles on that day were: 문화방송, 한국방송공사, 전유성, 진미령, 한국교육방송공사, 일베저장소, 국가정보자원관리원, 신승훈, 카카오톡, 마이 유스.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(16.97+5.3+23.08+31.82+30.98)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
