Article "मागे पर्ब" in Hindi Wikipedia has 17.9 points for quality (as of August 1, 2024). The article contains 1 references and 2 sections.
In July 2024 the article "मागे पर्ब" was edited by 1 authors in Hindi Wikipedia and written by 1 authors in all languages.
Since the creation of article "मागे पर्ब", its content was written by 6 registered users of Hindi Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 5 times in Hindi Wikipedia and cited 5 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 August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | Hindi: #11268 08.2016 |
Global: #1459537 07.2022 |
On 26 June 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2025 FIFA Club World Cup, Jeff Bezos, Zohran Mamdani, Lauren Sánchez, Northrop B-2 Spirit, 2025 NBA draft, F1, FIFA Club World Cup, 28 Years Later, Ali Khamenei.
In Hindi Wikipedia the most popular articles on that day were: शुभांशु शुक्ला, संयुक्त राज्य के राष्ट्रपतियों की सूची, माँ (2025 फ़िल्म), सुरेंद्र दुबे, भारत के प्रधान मंत्रियों की सूची, रिंकू सिंह (क्रिकेटर), प्रशांत किशोर, खाटूश्यामजी, रथयात्रा, कबीर.
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 August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.15+2.17+0+12.5+71.71)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
