Loop dependence analysis - Process to determine relationships among statements. Article “Loop dependence analysis” in English Wikipedia has 44.5 points for quality (as of July 1, 2025). The article contains 24 references and 11 sections.
Since the creation of article “Loop dependence analysis”, its content was written by 35 registered users of English Wikipedia and edited by 35 registered Wikipedia users in all languages.
The article is cited 8 times in English Wikipedia and cited 8 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: #683206 03.2012 |
Global: #1155949 04.2010 |
| Best Rank | English: #36261 09.2016 |
Global: #93825 05.2005 |
On 26 September 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Claudia Cardinale, One Battle After Another, ChatGPT, Alice in Borderland, Guinness, deaths in 2025, Benjamin Netanyahu, Assata Shakur, Charlie Kirk, Arthur Guinness.
In English Wikipedia the most popular articles on that day were: Google Chrome, Assata Shakur, James Comey, Voddie Baucham, They Call Him OG, Wounded Knee Massacre, Deaths in 2025, Ryder Cup, House of Guinness, Snake Eyes (1998 film).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(31.08+19.51+28.57+78.57+64.53)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
