Fast approximate anti-aliasing

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Fast approximate anti-aliasing

Quality:

Fast approximate anti-aliasing - anti-aliasing algorithm created by Timothy Lottes. Article “Fast approximate anti-aliasing” in English Wikipedia has 30.5 points for quality (as of July 1, 2025). The article contains 17 references and 4 sections.

In this language version of Wikipedia the article has the best quality. Also, this article is the most popular in that (English) language version.

Since the creation of article “Fast approximate anti-aliasing”, its content was written by 32 registered users of English Wikipedia and edited by 52 registered Wikipedia users in all languages.

The article is cited 23 times in English Wikipedia and cited 53 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (English): #94125 in September 2012
  • Global: #203635 in March 2018

The highest popularity rank from 2008:

  • Local (English): #81645 in April 2015
  • Global: #141120 in April 2015

There are 4 language versions 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).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
Fast approximate anti-aliasing
30.49
2Catalan (ca)
FXAA
25.9055
3Chinese (zh)
快速近似抗鋸齒
22.1945
4French (fr)
Fast approximate anti-aliasing
8.5091
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "Fast approximate anti-aliasing" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Fast approximate anti-aliasing
657 429
2Chinese (zh)
快速近似抗鋸齒
33 660
3French (fr)
Fast approximate anti-aliasing
18 125
4Catalan (ca)
FXAA
541
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "Fast approximate anti-aliasing" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
Fast approximate anti-aliasing
1 875
2Chinese (zh)
快速近似抗鋸齒
105
3French (fr)
Fast approximate anti-aliasing
75
4Catalan (ca)
FXAA
12
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "Fast approximate anti-aliasing" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Fast approximate anti-aliasing
32
2French (fr)
Fast approximate anti-aliasing
9
3Chinese (zh)
快速近似抗鋸齒
8
4Catalan (ca)
FXAA
3
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in June 2025

Language versions of the article "Fast approximate anti-aliasing" with the highest AI in June 2025
#LanguageAI awardRelative AI
1Catalan (ca)
FXAA
0
2English (en)
Fast approximate anti-aliasing
0
3French (fr)
Fast approximate anti-aliasing
0
4Chinese (zh)
快速近似抗鋸齒
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "Fast approximate anti-aliasing" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Chinese (zh)
快速近似抗鋸齒
25
2English (en)
Fast approximate anti-aliasing
23
3French (fr)
Fast approximate anti-aliasing
3
4Catalan (ca)
FXAA
2
More...

Scores

Estimated value for Wikipedia:
English:
Global:
Popularity in June 2025:
English:
Global:
Popularity in all years:
English:
Global:
Authors in June 2025:
English:
Global:
Registered authors in all years:
English:
Global:
Citations:
English:
Global:

Quality measures

Interwikis

#LanguageValue
caCatalan
FXAA
enEnglish
Fast approximate anti-aliasing
frFrench
Fast approximate anti-aliasing
zhChinese
快速近似抗鋸齒

Popularity rank trends

Best Rank English:
#81645
04.2015
Global:
#141120
04.2015

AI rank trends

Best Rank English:
#94125
09.2012
Global:
#203635
03.2018

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Fast approximate anti-aliasing from Wikipedia articles about Antialiasing, Temporal anti-aliasing, Multisample anti-aliasing, Nvidia and Morphological antialiasing. Whereas reading the article about Fast approximate anti-aliasing people most often go to Wikipedia articles on Spatial anti-aliasing, Multisample anti-aliasing, Temporal anti-aliasing, Morphological antialiasing and Deep learning anti-aliasing.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

ca: FXAA

News from 15 February 2026

On 15 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Wuthering Heights, 2026 Winter Olympics, Epstein files, Ilia Malinin, Wuthering Heights, Ghislaine Maxwell, Lucas Pinheiro Braathen, 2026 Winter Olympics medal table, Valentine's Day.

In English Wikipedia the most popular articles on that day were: Jeffrey Epstein, Wuthering Heights, Wuthering Heights (2026 film), 2026 Winter Olympics, Lucas Pinheiro Braathen, Ice hockey at the 2026 Winter Olympics – Men's tournament, Epstein files, John F. Kennedy Jr., Anthony Kim, James Van Der Beek.

About WikiRank

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