लुटेरा (२०१३ फ़िल्म)

Quality:

Lootera - 2013 film by Vikramaditya Motwane. This film is the 5200^th most popular in the global Wikipedia ranking of films. Article “लुटेरा (२०१३ फ़िल्म)” in Hindi Wikipedia has 37 points for quality (as of July 1, 2025). The article contains 7 references and 8 sections.

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

Achievements in all the time:

Global Wikipedia:

The 5200^th most popular in films.

Since the creation of article “लुटेरा (२०१३ फ़िल्म)”, its content was written by 10 registered users of Hindi Wikipedia and edited by 226 registered Wikipedia users in all languages.

Lootera is on the 5200^th place in global ranking of films on Wikipedia in all the time.

The article is cited 18 times in Hindi Wikipedia and cited 394 times in all languages.

The highest Authors Interest rank from 2001:

• Local (Hindi): #578 in November 2013
• Global: #350 in July 2013

The highest popularity rank from 2008:

• Local (Hindi): #2402 in July 2013
• Global: #427 in July 2013

There are 6 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) Lootera		61.6259
2	Hindi (hi) लुटेरा (२०१३ फ़िल्म)		37.0062
3	Finnish (fi) Lootera		20.4376
4	Indonesian (id) Lootera		19.7677
5	Arabic (ar) لوتيرا		15.3963
6	Persian (fa) سارق (فیلم ۲۰۱۳)		5.473

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

#	Language	Popularity award	Relative popularity
1	English (en) Lootera		4 568 257
2	Arabic (ar) لوتيرا		36 793
3	Persian (fa) سارق (فیلم ۲۰۱۳)		26 032
4	Hindi (hi) लुटेरा (२०१३ फ़िल्म)		17 857
5	Finnish (fi) Lootera		1 278
6	Indonesian (id) Lootera		1 030

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) Lootera		10 770
2	Persian (fa) سارق (فیلم ۲۰۱۳)		118
3	Arabic (ar) لوتيرا		116
4	Hindi (hi) लुटेरा (२०१३ फ़िल्म)		22
5	Indonesian (id) Lootera		17
6	Finnish (fi) Lootera		5

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

#	Language	AI award	Relative AI
1	English (en) Lootera		194
2	Hindi (hi) लुटेरा (२०१३ फ़िल्म)		10
3	Arabic (ar) لوتيرا		9
4	Persian (fa) سارق (فیلم ۲۰۱۳)		6
5	Finnish (fi) Lootera		5
6	Indonesian (id) Lootera		2

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	Arabic (ar) لوتيرا		0
2	English (en) Lootera		0
3	Persian (fa) سارق (فیلم ۲۰۱۳)		0
4	Finnish (fi) Lootera		0
5	Hindi (hi) लुटेरा (२०१३ फ़िल्म)		0
6	Indonesian (id) Lootera		0

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 Hindi Wikipedia the most popular articles on that day were: बिहार विधानसभा चुनाव, 2025, सोनम वांगचुक, स्कंदमाता, जुबिन गर्ग, नवरात्र, भगत सिंह, भारत के प्रधान मंत्रियों की सूची, ब्लू (2009 फ़िल्म), कूष्माण्डा, अभिषेक शर्मा.

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