oszk.hu

The National Széchényi Library is a library in Budapest, Hungary. It is one of two Hungarian national libraries, the other being University of Debrecen Library. More information...

Multilingual Wikipedia

In June 2020 the website oszk.hu was on the 1,202nd 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 856th place in June 2020. From Wikipedians' point of view, "oszk.hu" is the 732nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before vg.no and after e-gov.go.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
1,202nd place
30,534,337
-24,882,213
AR-score:
732nd place
6,728,956
+50,003
F-score:
856th place
17,574
+160

Hungarian Wikipedia (hu)

PR-score:
3rd place
23,384,887
-23,407,382
AR-score:
3rd place
5,257,417
+33,422
F-score:
5th place
10,847
+115

English Wikipedia (en)

PR-score:
3,809th place
4,399,968
-463,452
AR-score:
2,947th place
666,624
+10,557
F-score:
2,019th place
2,353
+5

German Wikipedia (de)

PR-score:
3,249th place
551,230
-118,582
AR-score:
1,797th place
174,903
+386
F-score:
2,020th place
337
+8

Spanish Wikipedia (es)

PR-score:
6,422nd place
325,779
-192,630
AR-score:
5,422nd place
44,253
+242
F-score:
2,348th place
280
+1

Polish Wikipedia (pl)

PR-score:
2,207th place
246,036
-64,663
AR-score:
2,141st place
43,537
+662
F-score:
2,686th place
143
+4

French Wikipedia (fr)

PR-score:
5,158th place
231,800
-74,023
AR-score:
2,406th place
114,592
+475
F-score:
1,868th place
457
0

Romanian Wikipedia (ro)

PR-score:
295th place
184,631
-94,498
AR-score:
273rd place
46,186
+523
F-score:
183rd place
498
+2
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...