Article “पुष्य (अयोध्या के सूर्यवंशी राजा)” in Hindi Wikipedia has 1.4 points for quality (as of July 1, 2025). The article also contains templates indicating quality issues, therefore its score was reduced by 0.08 points.
Since the creation of article “पुष्य (अयोध्या के सूर्यवंशी राजा)”, its content was written by 4 registered users of Hindi Wikipedia and edited by 4 registered Wikipedia users in all languages.
The article is cited 55 times in Hindi Wikipedia and cited 55 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 | Hindi: #46565 11.2015 |
Global: #9877373 12.2015 |
| Best Rank | Hindi: #5030 08.2014 |
Global: #1469753 07.2010 |
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(0.38+0+7.14+0+0)-0.08$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
