Rostov State University is the former Russian university (1915-2006).

Multilingual Wikipedia

In June 2020 the website rsu.ru was on the 14,953rd 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 26,801st place in June 2020. From Wikipedians' point of view, "rsu.ru" is the 21,837th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before caracteristicas.co and after indiansuperleague.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
14,953rd place
1,852,482
-1,109,090
AR-score:
21,837th place
166,800
-1
F-score:
26,801st place
372
+2

Russian Wikipedia (ru)

PR-score:
1,269th place
1,689,766
-979,502
AR-score:
1,857th place
111,116
-44
F-score:
3,907th place
184
0

English Wikipedia (en)

PR-score:
108,585th place
84,790
-12,096
AR-score:
60,381st place
20,542
-11
F-score:
63,252nd place
41
0

Ukrainian Wikipedia (uk)

PR-score:
2,582nd place
45,983
-102,303
AR-score:
2,518th place
13,027
+5
F-score:
5,299th place
35
0

Italian Wikipedia (it)

PR-score:
68,199th place
4,777
-1,911
AR-score:
114,592nd place
666
0
F-score:
160,012th place
1
0

Azerbaijani Wikipedia (az)

PR-score:
1,601st place
4,549
-1,965
AR-score:
1,960th place
2,103
+15
F-score:
2,788th place
11
+2

German Wikipedia (de)

PR-score:
146,240th place
4,263
-970
AR-score:
75,627th place
3,039
0
F-score:
88,645th place
5
0

Armenian Wikipedia (hy)

PR-score:
1,952nd place
3,584
-3,844
AR-score:
2,898th place
1,889
+36
F-score:
3,010th place
24
0

Belarusian Wikipedia (be)

PR-score:
1,369th place
1,707
-577
AR-score:
525th place
4,865
0
F-score:
3,182nd place
7
0

Bashkir Wikipedia (ba)

PR-score:
1,005th place
939
-433
AR-score:
581st place
985
0
F-score:
448th place
21
0
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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...