Mathias Matz - Danish cyclist, born 1998. Article “Mathias Matz” in Danish Wikipedia has 11.4 points for quality (as of July 1, 2026). The article contains 3 references and 3 sections.
Since the creation of article “Mathias Matz”, its content was written by 1 registered users of Danish Wikipedia and edited by 1 registered Wikipedia users in all languages.
The article is cited 25 times in Danish Wikipedia and cited 25 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, 2026 (including revision history and pageviews for previous years).
| Best Rank | Danish: #79667 05.2023 |
Global: #7844328 05.2023 |
| Best Rank | Danish: #6279 09.2025 |
Global: #1097436 09.2025 |
On 1 July 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2026 FIFA World Cup, Kylian Mbappé, Erling Haaland, Democratic Republic of the Congo, FIFA World Cup, Harry Kane, Romelu Lukaku, Senegal, Michael Olise, Sadio Mané.
In Danish Wikipedia the most popular articles on that day were: Egeprocessionsspinder, Demokratiske Republik Congo, Senegal, Harry Kane, Erling Haaland, Sadio Mané, Novak Djokovic, Tour de France 2026, The Cure, Jesper Grønkjær.
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 50 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2026. When calculating current popularity and AI of articles data from June 2026 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2026... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.14+2.08+0+10.34+40.61)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
