Mary Reklev - Norwegian private investigator. Article “Mary Reklev” in Norwegian Wikipedia has 25.3 points for quality (as of July 1, 2025). The article contains 16 references and 2 sections.
Since the creation of article “Mary Reklev”, its content was written by 15 registered users of Norwegian Wikipedia and edited by 15 registered Wikipedia users in all languages.
The article is cited 5 times in Norwegian Wikipedia and cited 5 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 | Norwegian: #19096 01.2010 |
Global: #2135243 01.2010 |
On 15 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Wuthering Heights, 2026 Winter Olympics, Epstein files, Ilia Malinin, Wuthering Heights, Ghislaine Maxwell, Lucas Pinheiro Braathen, 2026 Winter Olympics medal table, Valentine's Day.
In Norwegian Wikipedia the most popular articles on that day were: Forside, Emil Iversen, Johannes Høsflot Klæbo, Einar Hedegart, Norge under Vinter-OL 2026, Jake Paul, Maren Kirkeeide, Fastelavn, Thea Louise Stjernesund, Anna Odine Strøm.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.5+13.11+0+8+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
