Article “Benli Hasan Ağa” in Turkish Wikipedia has 23.1 points for quality (as of July 1, 2025). The article contains 7 references and 3 sections.
Since the creation of article “Benli Hasan Ağa”, its content was written by 14 registered users of Turkish Wikipedia and edited by 14 registered Wikipedia users in all languages.
The article is cited 105 times in Turkish Wikipedia and cited 105 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 | Turkish: #54154 05.2009 |
Global: #3199155 04.2013 |
| Best Rank | Turkish: #2286 02.2013 |
Global: #499807 08.2011 |
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 Turkish Wikipedia the most popular articles on that day were: Masumiyet Müzesi, Sevdiğim Sensin, Türkan Şoray, Yeraltı (dizi, 2026), 2026 Kış Olimpiyatları'nda alp disiplini, Jeffrey Epstein, Orhan Pamuk, Osmanlı padişahları listesi, Aynı Yağmur Altında, İzzet Yıldızhan.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.89+6.73+0+23.08+76.87)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
