Article “Vladimir Zaverchinsky” in French Wikipedia has 25.3 points for quality (as of July 1, 2025). The article contains 16 references and 13 sections.
Since the creation of article “Vladimir Zaverchinsky”, its content was written by 23 registered users of French Wikipedia and edited by 23 registered Wikipedia users in all languages.
The article is cited 3 times in French Wikipedia and cited 3 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 | French: #157329 09.2009 |
Global: #1768808 09.2009 |
| Best Rank | French: #26859 09.2009 |
Global: #497569 09.2009 |
On 28 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ali Khamenei, Iran, Ruhollah Khomeini, Jeffrey Epstein, Supreme Leader of Iran, Mohammad Reza I of Iran, 2026 Israeli–United States strikes on Iran, Neil Sedaka, Masoud Pezeshkian, Resident Evil Requiem.
In French Wikipedia the most popular articles on that day were: Ali Khamenei, Jim Carrey, Iran, Tayc, Benjamin Lavernhe, Rouhollah Khomeini, Jeffrey Epstein, Rebecca Marder, Mohammad Reza Pahlavi, Affaire Flactif.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(18.5+8.29+5.26+50+44.41)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
