Wavegen - UK business. Article "Wavegen" in English Wikipedia has 18.8 points for quality (as of August 1, 2024). The article contains 7 references and 3 sections.
Since the creation of article "Wavegen", its content was written by 17 registered users of English Wikipedia and edited by 17 registered Wikipedia users in all languages.
The article is cited 353 times in English Wikipedia and cited 353 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 | English: #544327 09.2019 |
Global: #927133 09.2019 |
| Best Rank | English: #160393 07.2011 |
Global: #469287 07.2011 |
On 6 April 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Adolescence, Val Kilmer, A Minecraft Movie, Alexander Ovechkin, Donald Trump, 2025 Formula One World Championship, Wayne Gretzky, deaths in 2025, The White Lotus, 1923.
In English Wikipedia the most popular articles on that day were: Minecraft (film), Alexander Ovechkin, Kelvin Sampson, Cooper Flagg, Adolescence (TV series), Val Kilmer, Geno Auriemma, Wayne Gretzky, Sikandar (2025 film), Paige Bueckers.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(10.45+5.74+0+21.43+56.53)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
