Ram Belnikov - Israeli economist and CEO. Article "רם בלינקוב" in Hebrew Wikipedia has 31.2 points for quality (as of November 1, 2023). The article contains 9 references and 4 sections.
In October 2023 the article "רם בלינקוב" was edited by 4 authors in Hebrew Wikipedia (2547th place) and written by 4 authors in all languages.
Since the creation of article "רם בלינקוב", its content was written by 28 registered users of Hebrew Wikipedia and edited by 28 registered Wikipedia users in all languages.
The article is cited 66 times in Hebrew Wikipedia and cited 66 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 | Hebrew: #447 06.2021 |
Global: #269853 06.2021 |
On 23 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Serie A, Shōgun, Fallout, Facebook, Fallout, Saint George, Saint George Day, Inter Milan, ChatGPT.
In Hebrew Wikipedia the most popular articles on that day were: אבנר נתניהו, אהרון חליוה, אלק בולדווין, שבט אבו רביעה, בנימין נתניהו, יוסי כהן, מלחמת חרבות ברזל, ספירת העומר, יהודה פוקס (קצין), קערת ליל הסדר.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(12.32+15.79+7.69+20+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
