Local government reorganization - change in the hierarchical structure of a local government. Article "Gebietsreform" in German Wikipedia has 49.5 points for quality (as of November 1, 2023). The article contains 19 references and 22 sections.
Since the creation of article "Gebietsreform", its content was written by 211 registered users of German Wikipedia and edited by 211 registered Wikipedia users in all languages.
The article is cited 2391 times in German Wikipedia (3641st place) and cited 2391 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | German: #23263 08.2008 |
Global: #224486 01.2008 |
On 16 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Yasuke, New Caledonia, Slovakia, Robert Fico, Bridgerton, YouTube, ChatGPT, deaths in 2024, Planet of the Apes, May 16.
In German Wikipedia the most popular articles on that day were: Robert Fico, Neukaledonien, Liste der größten Auslegerbrücken, Petr Bystron, Mohammed Hassan (Bergträger), Joan Collins, Zigeunerlager Auschwitz, Damian Hardung, Bridgerton, Netiporn Sanesangkhom.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(86.94+28.36+0+100+32.45)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
