Article "Roger-Gabriel Lambert" in French Wikipedia has 3.9 points for quality (as of August 1, 2024). The article contains 0 references and 4 sections.
Since the creation of article "Roger-Gabriel Lambert", its content was written by 6 registered users of French Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 61 times in French Wikipedia and cited 61 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 | French: #800830 05.2017 |
Global: #6562097 01.2023 |
| Best Rank | French: #29205 04.2020 |
Global: #611042 04.2020 |
On 15 December 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Syria, Bashar al-Assad, One Hundred Years of Solitude, Ayrton Senna, Mayotte, Kraven the Hunter, Amad Diallo, Empress Elisabeth of Austria, Red One, deaths in 2024.
In French Wikipedia the most popular articles on that day were: Miss France 2025, Mayotte, Angélique Angarni-Filopon, François Bayrou, Émile Zola, François (pape), Miss France, Le Tourbillon de la vie (film), Robbie Williams, Miss France 2024.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.01+0+0+15.38+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
