Article "Lukács László (barlangkutató)" in Hungarian Wikipedia has 4.2 points for quality (as of August 1, 2024). The article contains 0 references and 3 sections.
Since the creation of article "Lukács László (barlangkutató)", its content was written by 3 registered users of Hungarian Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 19 times in Hungarian Wikipedia and cited 19 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: #60597 05.2023 |
Global: #4201966 05.2023 |
| Best Rank | Hungarian: #4717 08.2017 |
Global: #811397 04.2012 |
On 12 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, 2024–25 UEFA Champions League, UEFA Champions League, Diego Simeone, Kim Sae-ron, Kim Soo-hyun, Greenland, Giuliano Simeone, Donald Trump, ChatGPT.
In Hungarian Wikipedia the most popular articles on that day were: Bényi Ildikó, Hunyadi (televíziós sorozat), Hunyadi János, Száj- és körömfájás, Tótfalusi István, Blága Tünde, 1848–49-es forradalom és szabadságharc, Törőcsik Franciska, I. Mátyás magyar király, Pokoli rokonok.
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
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
