Enn Tietenberg - American military personnel of Estonian origin. Article “Enn Tietenberg” in Estonian Wikipedia has 2.5 points for quality (as of July 1, 2025).
Since the creation of article “Enn Tietenberg”, its content was written by 5 registered users of Estonian Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 6 times in Estonian 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Estonian: #21625 06.2011 |
Global: #4662907 06.2011 |
| Best Rank | Estonian: #3141 09.2024 |
Global: #748169 02.2009 |
On 10 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Ghislaine Maxwell, Ilia Malinin, Bad Bunny, 2026 Winter Olympics, Epstein files, Jutta Leerdam, Jake Paul, Puerto Rico, Little Saint James.
In Estonian Wikipedia the most popular articles on that day were: Gröönimaa, Loometsad, Mu isamaa, mu õnn ja rõõm, Aleksandr Selevko, 2026. aasta taliolümpiamängud, Erika Salumäe, Jeffrey Epstein, Vastlapäev, Laanemetsad, Fabian Gottlieb von Bellingshausen.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(12.63+0+0+0+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
