hr-online.de

Hessischer Rundfunk is the German federal state of Hesse's public broadcasting corporation. Headquartered in Frankfurt am Main, HR is a member of the national consortium of German public broadcasting corporations, ARD. More information...

Multilingual Wikipedia

In June 2020 the website hr-online.de was on the 11,099th 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 11,703rd place in June 2020. From Wikipedians' point of view, "hr-online.de" is the 7,996th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cinema.ne.jp and after hennepin.us in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
11,099th place
2,624,218
-250,461
AR-score:
7,996th place
545,193
-239
F-score:
11,703rd place
1,012
-3

German Wikipedia (de)

PR-score:
984th place
1,989,981
-144,815
AR-score:
813th place
417,251
-989
F-score:
1,191st place
584
-3

English Wikipedia (en)

PR-score:
25,137th place
489,191
-66,446
AR-score:
19,242nd place
79,888
+628
F-score:
19,005th place
180
0

Japanese Wikipedia (ja)

PR-score:
36,692nd place
26,729
-850
AR-score:
22,152nd place
4,447
+14
F-score:
13,564th place
29
0

Russian Wikipedia (ru)

PR-score:
52,790th place
23,289
-11,486
AR-score:
35,700th place
4,183
+39
F-score:
31,484th place
15
0

Chinese Wikipedia (zh)

PR-score:
27,229th place
21,472
-10,417
AR-score:
37,120th place
1,323
+7
F-score:
40,141st place
5
0

French Wikipedia (fr)

PR-score:
46,477th place
18,010
-6,855
AR-score:
28,296th place
6,668
+1
F-score:
20,523rd place
26
0

Italian Wikipedia (it)

PR-score:
60,695th place
5,891
+30
AR-score:
25,953rd place
5,138
0
F-score:
26,038th place
11
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...