Article “Фёдар Мацвеевіч Іванчанка” in Belarusian Wikipedia has 32.2 points for quality (as of July 1, 2025). The article contains 13 references and 7 sections.
Since the creation of article “Фёдар Мацвеевіч Іванчанка”, its content was written by 3 registered users of Belarusian Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 9 times in Belarusian Wikipedia and cited 9 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 | Belarusian: #6485 06.2020 |
Global: #8219392 02.2021 |
On 13 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Diane Keaton, Ed Gein, 2026 FIFA World Cup qualification, 2026 FIFA World Cup, 2026 FIFA World Cup qualification (UEFA), Ian Watkins, 2026 FIFA World Cup qualification (CAF), Ilse Koch, Donald Trump, ChatGPT.
In Belarusian Wikipedia the most popular articles on that day were: Віталь Канстанцінавіч Цвірка, Мікола Гусоўскі, Францыск Скарына, Песня пра зубра, Ефрасіння Полацкая, Алаіза Пашкевіч, Францішак Багушэвіч, Ігар Іванавіч Бузоўскі, Андрэй Макаёнак, Кепска будзе!.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.8+6.16+21.05+28+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
