Article “Optimistic knowledge gradient” in English Wikipedia has 22.3 points for quality (as of July 1, 2025). The article contains 5 references and 9 sections.
Since the creation of article “Optimistic knowledge gradient”, its content was written by 12 registered users of English Wikipedia and edited by 12 registered Wikipedia users in all languages.
The article is cited 1 times in English Wikipedia and cited 1 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 | English: #1855126 06.2015 |
Global: #3208295 06.2015 |
| Best Rank | English: #146600 06.2015 |
Global: #374602 06.2015 |
On 21 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Anthony Joshua, James Ransone, Avatar: Fire and Ash, Jake Paul, Wake Up Dead Man, Stranger Things, Ghislaine Maxwell, Avatar, Avatar: The Way of Water.
In English Wikipedia the most popular articles on that day were: James Ransone, Avatar: Fire and Ash, Dhurandhar, Anthony Joshua, Jeffrey Epstein, .xxx, Jake Paul, Google Chrome, Epstein files, Chase DeMoor.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(28.29+4.07+0+64.29+14.77)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
