nefaz.ru

Neftekamsk Automotive Plant is a Russian manufacturer of buses and machinery on KamAZ chassis located in Neftekamsk in Bashkortostan. More information...

Multilingual Wikipedia

In June 2020 the website nefaz.ru was on the 128,447th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 100,964th place in June 2020. From Wikipedians' point of view, "nefaz.ru" is the 204,785th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before zexy-kitchen.net and after worldinvisible.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
128,447th place
144,324
-8,698
AR-score:
204,785th place
11,598
+221
F-score:
100,964th place
72
0

Russian Wikipedia (ru)

PR-score:
13,955th place
126,925
-6,129
AR-score:
19,365th place
8,432
+83
F-score:
40,336th place
11
0

English Wikipedia (en)

PR-score:
363,543rd place
15,400
+334
AR-score:
444,676th place
1,800
+67
F-score:
748,718th place
2
0

German Wikipedia (de)

PR-score:
269,224th place
796
+136
AR-score:
349,090th place
156
0
F-score:
73,132nd place
6
0

Chinese Wikipedia (zh)

PR-score:
133,312th place
563
-127
AR-score:
161,061st place
54
0
F-score:
94,464th place
2
0

Latvian Wikipedia (lv)

PR-score:
10,572nd place
214
-214
AR-score:
13,172nd place
142
+71
F-score:
3,919th place
5
0

Azerbaijani Wikipedia (az)

PR-score:
14,171st place
133
-133
AR-score:
11,075th place
200
0
F-score:
13,059th place
2
0

Belarusian Wikipedia (be)

PR-score:
10,892nd place
90
-1,455
AR-score:
4,972nd place
454
0
F-score:
1,173rd place
20
0

Belarusian (Taraškievica) Wikipedia (be-x-old)

PR-score:
5,804th place
90
-819
AR-score:
5,983rd place
181
0
F-score:
488th place
20
0
Show all Wikipedia languages...

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...