Who Framed Roger Rabbit

Quality:

Who Framed Roger Rabbit - 1988 film directed by Robert Zemeckis. This film is the 679^th most popular in the global Wikipedia ranking of films and the 627^th most popular film in English Wikipedia. Article “Who Framed Roger Rabbit” in English Wikipedia has 88.9 points for quality (as of July 1, 2025). The article contains 190 references and 26 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.

Achievements in all the time:

English Wikipedia:

en

The 9251^st most popular in English Wikipedia.

en

The 3681^st most editable in English Wikipedia.

The 627^th most popular in films in English Wikipedia.

Global Wikipedia:

The 6586^th most popular in AI.

The 679^th most popular in films.

In June 2025 the article “Who Framed Roger Rabbit” was edited by 2 authors in English Wikipedia and written by 19 authors in all languages.

Since the creation of article “Who Framed Roger Rabbit”, its content was written by 1248 registered users of English Wikipedia (3681^st place) and edited by 3107 registered Wikipedia users in all languages (6586^th place).

Who Framed Roger Rabbit is on the 627^th place in local ranking of films in English Wikipedia and on the 679^th place in global ranking of films in all the time.

The article is cited 2648 times in English Wikipedia and cited 11378 times in all languages.

The highest Authors Interest rank from 2001:

• Local (English): #254 in September 2002
• Global: #665 in September 2002

The highest popularity rank from 2008:

• Local (English): #4476 in December 2011
• Global: #5756 in December 2010

There are 44 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.

#	Language	Quality grade	Quality score
1	English (en) Who Framed Roger Rabbit		88.9206
2	French (fr) Qui veut la peau de Roger Rabbit		85.2632
3	Portuguese (pt) Who Framed Roger Rabbit		83.8543
4	Chinese (zh) 谁陷害了兔子罗杰		82.4763
5	Serbo-Croatian (sh) Who Framed Roger Rabbit		65.8706
6	Italian (it) Chi ha incastrato Roger Rabbit		56.2666
7	Polish (pl) Kto wrobił królika Rogera?		49.9294
8	German (de) Falsches Spiel mit Roger Rabbit		46.7
9	Norwegian (Nynorsk) (nn) Who Framed Roger Rabbit		46.2099
10	Spanish (es) ¿Quién engañó a Roger Rabbit?		40.6219

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

#	Language	Popularity award	Relative popularity
1	English (en) Who Framed Roger Rabbit		14 443 190
2	Spanish (es) ¿Quién engañó a Roger Rabbit?		1 806 768
3	Russian (ru) Кто подставил кролика Роджера		1 626 070
4	Italian (it) Chi ha incastrato Roger Rabbit		1 591 305
5	French (fr) Qui veut la peau de Roger Rabbit		1 334 505
6	Japanese (ja) ロジャー・ラビット		1 007 623
7	German (de) Falsches Spiel mit Roger Rabbit		922 011
8	Portuguese (pt) Who Framed Roger Rabbit		495 456
9	Polish (pl) Kto wrobił królika Rogera?		158 911
10	Chinese (zh) 谁陷害了兔子罗杰		138 166

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

#	Language	Popularity award	Relative popularity
1	English (en) Who Framed Roger Rabbit		59 347
2	French (fr) Qui veut la peau de Roger Rabbit		11 738
3	Italian (it) Chi ha incastrato Roger Rabbit		11 464
4	Russian (ru) Кто подставил кролика Роджера		5 928
5	Japanese (ja) ロジャー・ラビット		4 909
6	Spanish (es) ¿Quién engañó a Roger Rabbit?		4 455
7	German (de) Falsches Spiel mit Roger Rabbit		2 184
8	Portuguese (pt) Who Framed Roger Rabbit		978
9	Chinese (zh) 谁陷害了兔子罗杰		786
10	Polish (pl) Kto wrobił królika Rogera?		520

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

#	Language	AI award	Relative AI
1	English (en) Who Framed Roger Rabbit		1 248
2	Italian (it) Chi ha incastrato Roger Rabbit		241
3	French (fr) Qui veut la peau de Roger Rabbit		224
4	Russian (ru) Кто подставил кролика Роджера		186
5	German (de) Falsches Spiel mit Roger Rabbit		138
6	Spanish (es) ¿Quién engañó a Roger Rabbit?		134
7	Japanese (ja) ロジャー・ラビット		124
8	Hebrew (he) מי הפליל את רוג'ר רביט		107
9	Dutch (nl) Who Framed Roger Rabbit		69
10	Portuguese (pt) Who Framed Roger Rabbit		65

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

#	Language	AI award	Relative AI
1	Russian (ru) Кто подставил кролика Роджера		3
2	Arabic (ar) من ورط الأرنب روجر		2
3	Catalan (ca) Qui ha enredat en Roger Rabbit?		2
4	English (en) Who Framed Roger Rabbit		2
5	French (fr) Qui veut la peau de Roger Rabbit		2
6	Italian (it) Chi ha incastrato Roger Rabbit		2
7	Spanish (es) ¿Quién engañó a Roger Rabbit?		1
8	Persian (fa) چه کسی برای راجر رابیت پاپوش دوخت؟		1
9	Korean (ko) 누가 로저 래빗을 모함했나		1
10	Norwegian (no) Hvem lurte Roger Rabbit?		1

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

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