Article "Stefan Voigt (Höhlenforscher)" in German Wikipedia has 30.2 points for quality (as of August 1, 2024). The article contains 14 references and 7 sections.
Since the creation of article "Stefan Voigt (Höhlenforscher)", its content was written by 34 registered users of German Wikipedia and edited by 34 registered Wikipedia users in all languages.
The article is cited 18 times in German Wikipedia and cited 18 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 August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | German: #44510 05.2022 |
Global: #590497 05.2022 |
On 26 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ilia Topuria, Lyle and Erik Menendez, Hansi Flick, Venom: The Last Dance, El Clásico, 2024 United States presidential election, Khamzat Chimaev, BRICS, Max Holloway, Shohei Ohtani.
In German Wikipedia the most popular articles on that day were: Nationalfeiertag (Österreich), Sommerzeit, Liste der größten Auslegerbrücken, Désirée Nosbusch, Interstellar, Ghostbusters: Legacy, Katrin Bauerfeind, Das Geisterschloss, Hundswut (Film), Helga Feddersen.
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 August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(49.49+20.29+7.14+33.33+40.94)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
