I Run to You

it

WikiRank.net
ver. 1.6.2

I Run to You

Quality:

I Run to You - song written and composed by Hillary Scott, Charles Kelley, Dave Haywood and Tom Douglas, originally recorded by Lady Antebellum and released in 2008. Article “I Run to You” in Italian Wikipedia has 27.2 points for quality (as of July 1, 2025). The article contains 8 references and 5 sections.

This article has the best quality in English Wikipedia. Also, this article is the most popular in that (Italian) language version.

Since the creation of article “I Run to You”, its content was written by 17 registered users of Italian Wikipedia and edited by 119 registered Wikipedia users in all languages.

The article is cited 27 times in Italian Wikipedia and cited 283 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (Italian): #22040 in April 2012
  • Global: #85814 in August 2017

The highest popularity rank from 2008:

  • Local (Italian): #550947 in May 2011
  • Global: #202793 in February 2010

There are 6 language versions 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).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
I Run to You
53.3437
2Chinese (zh)
唯有妳
50.8978
3Portuguese (pt)
I Run to You
39.3906
4Russian (ru)
I Run to You
36.189
5Vietnamese (vi)
I Run to You
31.2949
6Italian (it)
I Run to You
27.1785
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "I Run to You" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
I Run to You
278 817
2Russian (ru)
I Run to You
6 007
3Portuguese (pt)
I Run to You
4 353
4Italian (it)
I Run to You
2 256
5Vietnamese (vi)
I Run to You
2 132
6Chinese (zh)
唯有妳
1 348
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "I Run to You" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
I Run to You
507
2Portuguese (pt)
I Run to You
16
3Chinese (zh)
唯有妳
15
4Russian (ru)
I Run to You
7
5Vietnamese (vi)
I Run to You
7
6Italian (it)
I Run to You
3
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "I Run to You" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
I Run to You
70
2Italian (it)
I Run to You
17
3Vietnamese (vi)
I Run to You
11
4Portuguese (pt)
I Run to You
9
5Russian (ru)
I Run to You
6
6Chinese (zh)
唯有妳
6
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in June 2025

Language versions of the article "I Run to You" with the highest AI in June 2025
#LanguageAI awardRelative AI
1English (en)
I Run to You
0
2Italian (it)
I Run to You
0
3Portuguese (pt)
I Run to You
0
4Russian (ru)
I Run to You
0
5Vietnamese (vi)
I Run to You
0
6Chinese (zh)
唯有妳
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "I Run to You" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1English (en)
I Run to You
169
2Russian (ru)
I Run to You
45
3Italian (it)
I Run to You
27
4Portuguese (pt)
I Run to You
27
5Vietnamese (vi)
I Run to You
13
6Chinese (zh)
唯有妳
2
More...

Scores

Estimated value for Wikipedia:
Italian:
Global:
Popularity in June 2025:
Italian:
Global:
Popularity in all years:
Italian:
Global:
Authors in June 2025:
Italian:
Global:
Registered authors in all years:
Italian:
Global:
Citations:
Italian:
Global:

Quality measures

Interwikis

#LanguageValue
enEnglish
I Run to You
itItalian
I Run to You
ptPortuguese
I Run to You
ruRussian
I Run to You
viVietnamese
I Run to You
zhChinese
唯有妳

Popularity rank trends

Best Rank Italian:
#550947
05.2011
Global:
#202793
02.2010

AI rank trends

Best Rank Italian:
#22040
04.2012
Global:
#85814
08.2017

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on I Run to You from Wikipedia articles about Lady Antebellum, Need You Now, Billboard Year-End Hot 100 singles of 2009, Lady A discography and Lookin for a Good Time. Whereas reading the article about I Run to You people most often go to Wikipedia articles on Lady Antebellum, Need You Now, Lady A, Need You Now and Hillary Scott.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 16 March 2026

On 16 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 98th Academy Awards, Michael B. Jordan, Sinners, Jessie Buckley, Paul Thomas Anderson, Sean Penn, One Battle After Another, Amy Madigan, Hamnet, Timothée Chalamet.

In Italian Wikipedia the most popular articles on that day were: Premi Oscar 2026, Una battaglia dopo l'altra, Michael B. Jordan, I peccatori, Andrea Kimi Antonelli, Jessie Buckley, Sean Penn, Paul Thomas Anderson, Amy Madigan, Hamnet - Nel nome del figlio.

About WikiRank

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