特性曲線法

Method of characteristics - technique for solving hyperbolic partial differential equations. Article "特性曲線法" in Japanese Wikipedia has 10.5 points for quality (as of August 1, 2024). The article contains 2 references and 10 sections.

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

Since the creation of article "特性曲線法", its content was written by 10 registered users of Japanese Wikipedia and edited by 184 registered Wikipedia users in all languages.

The article is cited 53 times in Japanese Wikipedia and cited 467 times in all languages.

The highest Authors Interest rank from 2001:

• Local (Japanese): #29684 in April 2015
• Global: #99136 in April 2015

The highest popularity rank from 2008:

• Local (Japanese): #213217 in January 2018
• Global: #168042 in January 2015

There are 11 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 August 1, 2024 (including revision history and pageviews for previous years).

下表顯示了最高品質的文章的語言版本。

#	Language	Quality grade	Quality score
1	English (en) Method of characteristics		25.0914
2	German (de) Methode der Charakteristiken		19.9163
3	Ukrainian (uk) Метод характеристик		19.3952
4	Spanish (es) Método de las características		17.2814
5	Dutch (nl) Methode van karakteristieken		14.1002
6	Chinese (zh) 特征线法		12.8713
7	Italian (it) Metodo delle caratteristiche		12.8202
8	Russian (ru) Метод характеристик		11.285
9	Japanese (ja) 特性曲線法		10.45
10	French (fr) Méthode des caractéristiques		5.7449

More...

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

The most popular language versions of the article "特性曲線法" in all the time

#	Language	Popularity award	Relative popularity
1	English (en) Method of characteristics		974 085
2	German (de) Methode der Charakteristiken		133 442
3	French (fr) Méthode des caractéristiques		124 460
4	Russian (ru) Метод характеристик		90 322
5	Italian (it) Metodo delle caratteristiche		71 575
6	Chinese (zh) 特征线法		38 138
7	Japanese (ja) 特性曲線法		36 594
8	Ukrainian (uk) Метод характеристик		7 834
9	Korean (ko) 특성곡선법		6 961
10	Dutch (nl) Methode van karakteristieken		5 438

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

The most popular language versions of the article "特性曲線法" in July 2024

#	Language	Popularity award	Relative popularity
1	English (en) Method of characteristics		3 945
2	German (de) Methode der Charakteristiken		437
3	French (fr) Méthode des caractéristiques		377
4	Japanese (ja) 特性曲線法		374
5	Chinese (zh) 特征线法		324
6	Russian (ru) Метод характеристик		260
7	Italian (it) Metodo delle caratteristiche		259
8	Spanish (es) Método de las características		243
9	Korean (ko) 특성곡선법		29
10	Dutch (nl) Methode van karakteristieken		12

More...

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

Language versions of the article "特性曲線法" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.

#	Language	AI award	Relative AI
1	English (en) Method of characteristics		61
2	German (de) Methode der Charakteristiken		27
3	Chinese (zh) 特征线法		20
4	Italian (it) Metodo delle caratteristiche		18
5	French (fr) Méthode des caractéristiques		17
6	Russian (ru) Метод характеристик		12
7	Japanese (ja) 特性曲線法		10
8	Dutch (nl) Methode van karakteristieken		7
9	Ukrainian (uk) Метод характеристик		6
10	Spanish (es) Método de las características		4

More...

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

Language versions of the article "特性曲線法" with the highest AI in July 2024

#	Language	AI award	Relative AI
1	Ukrainian (uk) Метод характеристик		1
2	German (de) Methode der Charakteristiken		0
3	English (en) Method of characteristics		0
4	Spanish (es) Método de las características		0
5	French (fr) Méthode des caractéristiques		0
6	Italian (it) Metodo delle caratteristiche		0
7	Japanese (ja) 特性曲線法		0
8	Korean (ko) 특성곡선법		0
9	Dutch (nl) Methode van karakteristieken		0
10	Russian (ru) Метод характеристик		0

More...

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

Language versions of the article "特性曲線法" with the highest Citation Index (CI)

#	Language	CI award	Relative CI
1	English (en) Method of characteristics		168
2	Chinese (zh) 特征线法		115
3	Japanese (ja) 特性曲線法		53
4	Ukrainian (uk) Метод характеристик		48
5	French (fr) Méthode des caractéristiques		34
6	German (de) Methode der Charakteristiken		14
7	Korean (ko) 특성곡선법		12
8	Italian (it) Metodo delle caratteristiche		9
9	Russian (ru) Метод характеристик		6
10	Spanish (es) Método de las características		5

More...

#	Language	Value
de	German Methode der Charakteristiken
en	English Method of characteristics
es	Spanish Método de las características
fr	French Méthode des caractéristiques
it	Italian Metodo delle caratteristiche
ja	Japanese 特性曲線法
ko	Korean 특성곡선법
nl	Dutch Methode van karakteristieken
ru	Russian Метод характеристик
uk	Ukrainian Метод характеристик
zh	Chinese 特征线法

Best Rank

Japanese: #213217 01.2018

Global: #168042 01.2015

Best Rank

Japanese: #29684 04.2015

Global: #99136 04.2015

On 27 August 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Oasis, Sven-Göran Eriksson, Pavel Durov, Liam Gallagher, Noel Gallagher, Franco Colapinto, Mariah Carey, Wojciech Szczęsny, Lyle and Erik Menéndez, Cristiano Ronaldo.

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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