Article "Éva Farkas-Tatár" in Esperanto Wikipedia has 16.2 points for quality (as of November 1, 2023). The article contains 3 references and 3 sections.
Since the creation of article "Éva Farkas-Tatár", its content was written by 8 registered users of Esperanto Wikipedia and edited by 8 registered Wikipedia users in all languages.
The article is cited 5 times in Esperanto 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Esperanto: #683 12.2018 |
Global: #4418079 12.2018 |
On 11 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, ChatGPT, 2026 FIFA World Cup qualification (AFC), Cristiano Ronaldo, YouTube, UEFA European Championship, deaths in 2024, Malawi, 2024 European Athletics Championships, Hunter Biden.
In Esperanto Wikipedia the most popular articles on that day were: Carles Puigdemont i Casamajó, Esperanto, Vikipedio, Stanisław Przybyszewski, Dua Mondmilito, Milena Velba, Ĝermolisto de populara kulturo, Serĉilo-optimumigo, Eŭropa Konvencio pri Homaj Rajtoj, Seksumado.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(27.22+7.69+0+15+31.13)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
