veszprem.hu

Veszprém is one of the oldest urban areas in Hungary, and a city with county rights. It lies approximately north of the Lake Balaton. It is the administrative center of the county of the same name. More information...

Multilingual Wikipedia

In June 2020 the website veszprem.hu was on the 246,186th 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 115,023rd place in June 2020. From Wikipedians' point of view, "veszprem.hu" is the 112,443rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before norwid24.waw.pl and after eh.com.my in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
246,186th place
63,391
-5,582
AR-score:
112,443rd place
23,630
+1,052
F-score:
115,023rd place
61
+1

Hungarian Wikipedia (hu)

PR-score:
2,422nd place
45,923
-1,594
AR-score:
1,753rd place
14,873
+1,044
F-score:
2,006th place
51
+1

French Wikipedia (fr)

PR-score:
67,945th place
10,600
-2,000
AR-score:
28,571st place
6,600
0
F-score:
166,544th place
2
0

English Wikipedia (en)

PR-score:
670,446th place
4,203
-1,607
AR-score:
712,375th place
812
+8
F-score:
465,623rd place
3
0

Russian Wikipedia (ru)

PR-score:
176,759th place
1,800
-300
AR-score:
137,643rd place
600
0
F-score:
219,433rd place
1
0

Chinese Wikipedia (zh)

PR-score:
138,046th place
480
-40
AR-score:
68,841st place
500
0
F-score:
123,106th place
1
0

Turkish Wikipedia (tr)

PR-score:
53,584th place
340
-40
AR-score:
55,211th place
160
0
F-score:
75,236th place
1
0

Belarusian Wikipedia (be)

PR-score:
17,597th place
25
0
AR-score:
19,412th place
25
0
F-score:
17,136th place
1
0

Balinese Wikipedia (ban)

PR-score:
744th place
20
0
AR-score:
459th place
60
0
F-score:
460th place
1
0

Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).