bis.org

The Bank for International Settlements is an international financial institution owned by central banks that "fosters international monetary and financial cooperation and serves as a bank for central banks". More information...

Multilingual Wikipedia

In June 2020 the website bis.org was on the 2,707th 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 8,702nd place in June 2020. From Wikipedians' point of view, "bis.org" is the 5,191st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before tropicalglen.com and after worldwildlife.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
2,707th place
12,839,403
-2,810,620
AR-score:
5,191st place
889,870
-6,151
F-score:
8,702nd place
1,429
+20

English Wikipedia (en)

PR-score:
2,331st place
7,613,087
-1,644,837
AR-score:
4,573rd place
414,798
-9,256
F-score:
8,114th place
501
+10

Spanish Wikipedia (es)

PR-score:
2,566th place
908,376
-193,448
AR-score:
5,234th place
46,390
+195
F-score:
7,327th place
70
0

German Wikipedia (de)

PR-score:
2,466th place
734,407
-138,716
AR-score:
4,012th place
71,674
+607
F-score:
5,165th place
114
+1

French Wikipedia (fr)

PR-score:
2,081st place
647,322
-179,745
AR-score:
4,789th place
50,700
+557
F-score:
8,127th place
80
+3

Japanese Wikipedia (ja)

PR-score:
3,672nd place
442,550
-7,909
AR-score:
5,865th place
20,647
-143
F-score:
13,961st place
28
0

Italian Wikipedia (it)

PR-score:
1,908th place
364,461
-85,061
AR-score:
4,898th place
31,925
+34
F-score:
8,816th place
38
0

Arabic Wikipedia (ar)

PR-score:
2,585th place
77,641
-4,351
AR-score:
4,296th place
12,540
+124
F-score:
4,640th place
50
+1
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...