Tor Vaa - Norwegian sculptor. Article “Tor Vaa” in Norwegian Wikipedia has 23.8 points for quality (as of July 1, 2026). The article contains 7 references and 1 sections.
Since the creation of article “Tor Vaa”, its content was written by 17 registered users of Norwegian Wikipedia and edited by 17 registered Wikipedia users in all languages.
The article is cited 7 times in Norwegian Wikipedia and cited 7 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, 2026 (including revision history and pageviews for previous years).
| Best Rank | Norwegian: #49111 08.2024 |
Global: #3585634 01.2008 |
| Best Rank | Norwegian: #2166 02.2023 |
Global: #451451 06.2007 |
On 1 July 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2026 FIFA World Cup, Kylian Mbappé, Erling Haaland, Democratic Republic of the Congo, FIFA World Cup, Harry Kane, Romelu Lukaku, Senegal, Michael Olise, Sadio Mané.
In Norwegian Wikipedia the most popular articles on that day were: Forside, Antonio Nusa, VM i fotball 2026, Den demokratiske republikken Kongo, VM i fotball 1998, Erling Braut Haaland, Patrick Berg, Elfenbenskysten, Senegal, Oscar Bobb.
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 50 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2026. When calculating current popularity and AI of articles data from June 2026 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2026... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.26+5.69+5.88+4+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
