Article “Lars Stensgaard Mørch” in Danish Wikipedia has 22.6 points for quality (as of July 1, 2025). The article contains 9 references and 1 sections.
Since the creation of article “Lars Stensgaard Mørch”, 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 2 times in Danish Wikipedia and cited 2 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 | Danish: #35686 04.2025 |
Global: #5660616 04.2025 |
| Best Rank | Danish: #6836 04.2025 |
Global: #1178800 03.2025 |
On 16 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 98th Academy Awards, Michael B. Jordan, Sinners, Jessie Buckley, Paul Thomas Anderson, Sean Penn, One Battle After Another, Amy Madigan, Hamnet, Timothée Chalamet.
In Danish Wikipedia the most popular articles on that day were: Alex Vanopslagh, Sinners (film fra 2025), Helle Faber, Joachim Trier, May Lifschitz, Troels Lund Poulsen, The Homesman, Affektionsværdi, Meningsmålinger forud for folketingsvalget 2026, Hamnet (film).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.07+6.25+0+3.45+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
