Libor Vávra - judge. Article “Libor Vávra” in Czech Wikipedia has 28.3 points for quality (as of July 1, 2025). The article contains 27 references and 3 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 1.49 points.
Since the creation of article “Libor Vávra”, its content was written by 17 registered users of Czech Wikipedia and edited by 17 registered Wikipedia users in all languages.
The article is cited 12 times in Czech Wikipedia and cited 12 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 | Czech: #15245 09.2020 |
Global: #1502097 09.2020 |
On 7 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ed Gein, Ilse Koch, Lizzie Borden, Anthony Perkins, Monster: The Ed Gein Story, Greta Thunberg, Richard Speck, Psycho, ChatGPT, Charlie Hunnam.
In Czech Wikipedia the most popular articles on that day were: Dana Drábová, Ed Gein, Filip Turek, Petr Macinka, Lizzie Bordenová, Oto Klempíř, Volby do Poslanecké sněmovny Parlamentu České republiky 2025, Petr Fiala, Anna Polívková, Andrej Babiš.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(16.19+18.49+0+14.29+100)-1.49$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
