The anatomy of a large-scale hypertextual Web search engine

Multilingual Wikipedia

In June 2020 the work The anatomy of a large-scale hypertextual Web search engine was on the 50th place in the ranking of the most reliable and popular publications with DOI number 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 work was on the 821st place in June 2020. From Wikipedians' point of view, "The anatomy of a large-scale hypertextual Web search engine" is the 68th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
50th place
1,908,535
-372,990
AR-score:
68th place
165,860
-857
F-score:
821st place
147
-1

English Wikipedia (en)

PR-score:
413th place
541,668
-84,987
AR-score:
430th place
32,139
-69
F-score:
6,420th place
19
0

Korean Wikipedia (ko)

PR-score:
4th place
226,704
-3,910
AR-score:
299th place
2,114
+24
F-score:
6,754th place
1
0

Spanish Wikipedia (es)

PR-score:
485th place
165,251
-35,330
AR-score:
537th place
7,136
+27
F-score:
24,747th place
1
0

Danish Wikipedia (da)

PR-score:
2nd place
62,950
+39,234
AR-score:
11th place
5,600
0
F-score:
1,348th place
1
0

Slovenian Wikipedia (sl)

PR-score:
3rd place
58,952
+8,019
AR-score:
10th place
5,364
0
F-score:
906th place
2
0

Chinese Wikipedia (zh)

PR-score:
1,278th place
29,219
-6,334
AR-score:
1,344th place
1,453
+2
F-score:
5,359th place
3
0

Tagalog Wikipedia (tl)

PR-score:
4th place
12,100
-8,000
AR-score:
3rd place
4,250
0
F-score:
730th place
1
0

Arabic Wikipedia (ar)

PR-score:
2,866th place
4,821
+1,056
AR-score:
3,879th place
743
0
F-score:
2,102nd place
5
0

Ukrainian Wikipedia (uk)

PR-score:
1,931st place
2,107
-662
AR-score:
1,276th place
584
0
F-score:
1,488th place
4
0

Italian Wikipedia (it)

PR-score:
28,118th place
665
-727
AR-score:
46,562nd place
36
0
F-score:
6,049th place
3
0
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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...