WikiRank has been updated! Quality and popularity scores for over 40 million Wikipedia articles based on dumps from October, 2020.
See example: wikirank.net/en/2020_United_States_presidential_election
Wikipedia currently has over 54 million articles in over 300 languages. Using open data on Wikipedia article views we can find out how many times a given article has been viewed on specific month. After collecting data for viewing all Wikipedia articles we create rankings for each month for different topics separately, such as: people, events, films, television series, books, video games, software, paintings, programming languages, universities, cryptocurrencies and others. More over, such rankngs are available for each language and each month from 2008 to 2020 (for example: the most popular on English Wikipedia in June 2020, the most popular films in April 2017)
Recently we observed that visitors number for some articles was “overclocked” in some periods of time. Therefore, we decide to provide additional modification of the pageview statistics for such cases and change this number (usually by reduction). Fairness of statistics for each article in selected language version in selected months can be assessed using such indicators as: number of the edits and authors, page protection, the rate of citation increasing of the article, popularity statistics of related keywords (phrases) in Google Trends and others.
Despite the impressive number of articles, each language version can describe the same topic in its own way – it all depends on the quantity and quality of the authors (Wikipedia users who edit articles). Therefore we took into the account number of the authors as separate measure (so-called “Authors’ Interest” or AI). This measure is used to create local AI rankings (for example English, German, French, Spanish, Russian, Polish) and global AI ranking. Additionally such rankings are created for each month from 2002 to 2020 (for example: English AI ranking for August 2020).
Citation Index shows how many Wikipedia articles have links to specific one. This measure is used to create local CI rankings (for example English, German, French, Spanish, Russian, Polish) and global CI ranking.