Sebestyén Lilla - Hungarian journalist. Article "Sebestyén Lilla" in Hungarian Wikipedia has 24 points for quality (as of August 1, 2024). The article contains 5 references and 2 sections.
Since the creation of article "Sebestyén Lilla", its content was written by 2 registered users of Hungarian Wikipedia and edited by 2 registered Wikipedia users in all languages.
The article is cited 6 times in Hungarian Wikipedia and cited 6 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 | Hungarian: #89015 12.2017 |
Global: #6113133 12.2017 |
| Best Rank | Hungarian: #1511 12.2017 |
Global: #496176 12.2017 |
On 5 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Squid Game, season 2, Avicii, Nosferatu, Epiphany, human metapneumovirus, Jimmy Carter, Elon Musk, Jeff Baena, Aubrey Plaza.
In Hungarian Wikipedia the most popular articles on that day were: Vízkereszt, Pokoli rokonok, Avicii, Nagy Gábor (színművész), Venus Williams, Futni mentem, Nyerd meg az életed, A 44. gyermek (film), Cápák között (nyolcadik évad), Fábry Sándor.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.82+5.43+0+9.52+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
