The Budapest University of Technology and Economics, official abbreviation BME, is the most significant University of Technology in Hungary and is considered the world's oldest Institute of Technology which has university rank and structure. It was the first institute in Europe to train engineers at university level. It was founded in 1782. More information...

Multilingual Wikipedia

In June 2020 the website bme.hu was on the 5,548th 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 7,617th place in June 2020. From Wikipedians' point of view, "bme.hu" is the 6,228th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before futabasha.co.jp and after lovecosmetic.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,548th place
5,749,395
-3,065,199
AR-score:
6,228th place
720,760
+6,116
F-score:
7,617th place
1,662
+13

Hungarian Wikipedia (hu)

PR-score:
49th place
2,364,486
-2,453,981
AR-score:
59th place
428,914
+976
F-score:
131st place
867
+4

English Wikipedia (en)

PR-score:
6,817th place
2,249,333
-396,039
AR-score:
10,208th place
164,052
+3,846
F-score:
17,336th place
202
+4

German Wikipedia (de)

PR-score:
7,133rd place
231,345
-11,507
AR-score:
9,809th place
26,527
+33
F-score:
11,122nd place
47
0

Japanese Wikipedia (ja)

PR-score:
7,933rd place
185,115
+13,643
AR-score:
18,814th place
5,409
+262
F-score:
20,054th place
19
0

French Wikipedia (fr)

PR-score:
7,682nd place
150,103
-50,498
AR-score:
8,922nd place
24,257
+56
F-score:
8,112th place
81
+2

Russian Wikipedia (ru)

PR-score:
14,968th place
116,952
-22,835
AR-score:
18,044th place
9,137
+319
F-score:
16,991st place
33
0

Romanian Wikipedia (ro)

PR-score:
2,825th place
17,294
-19,227
AR-score:
6,972nd place
1,660
+21
F-score:
1,453rd place
53
+1
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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...