Yeni Dalga - Wikimedia disambiguation page. Article “Yeni Dalga” in Turkish Wikipedia has 0.1 points for quality (as of July 1, 2025).
Since the creation of article “Yeni Dalga”, its content was written by 3 registered users of Turkish Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 50 times in Turkish Wikipedia and cited 50 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: #11936 01.2010 |
Global: #1005318 01.2010 |
| Best Rank | Turkish: #9740 10.2016 |
Global: #997000 10.2016 |
On 21 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Alysa Liu, Eric Dane, 2026 Winter Olympics, Rebecca Gayheart, Johannes Høsflot Klæbo, Wuthering Heights, amyotrophic lateral sclerosis, Andrew Mountbatten-Windsor, John F. Kennedy Jr..
In Turkish Wikipedia the most popular articles on that day were: Abdest, Yeraltı (dizi, 2026), Masumiyet Müzesi, Sevdiğim Sensin, Helin Kandemir, Orhan Pamuk, Kübra Güran Yiğitbaşı, Fırat Çakıroğlu cinayeti, Nüfusuna göre Türkiye'nin illeri, Selahattin Paşalı.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(0.36+0+0+0+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
