Kolmar Korea Co., Ltd. - company in Sejong, South Korea. This company is the 433rd most popular in Korean Wikipedia. Article “한국콜마” in Korean Wikipedia has 16.8 points for quality (as of July 1, 2025). The article contains 4 references and 8 sections.
Since the creation of article “한국콜마”, its content was written by 17 registered users of Korean Wikipedia and edited by 17 registered Wikipedia users in all languages.
Kolmar Korea Co., Ltd. is on the 433rd place in local ranking of business on Korean Wikipedia in all the time.
The article is cited 363 times in Korean Wikipedia and cited 363 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: #20 08.2019 |
Global: #47312 08.2019 |
On 12 August 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Cristiano Ronaldo, Wednesday, Georgina Rodríguez, ChatGPT, Weapons, Jenna Ortega, deaths in 2025, Taylor Swift, Miguel Uribe Turbay, 2025–26 UEFA Champions League.
In Korean Wikipedia the most popular articles on that day were: 문화방송, 김건희, 한국방송공사, 한국교육방송공사, 케이팝 데몬 헌터스, 윤미향, 유경촌, 노란봉투법, 윤석열, 강미정.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.88+2.65+0+36.36+38.21)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
