computerworld.pl

Computerworld is an ongoing decades old professional publication which in 2014 "went digital." Its audience is information technology and business technology professionals, and is available via a publication website and as a digital magazine. More information...

Multilingual Wikipedia

In June 2020 the website computerworld.pl was on the 15,329th 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 31,630th place in June 2020. From Wikipedians' point of view, "computerworld.pl" is the 22,965th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before webislam.com and after nasbih.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
15,329th place
1,796,090
-348,912
AR-score:
22,965th place
156,991
+1,689
F-score:
31,630th place
305
+4

Polish Wikipedia (pl)

PR-score:
345th place
1,775,964
-344,720
AR-score:
719th place
151,722
+1,663
F-score:
1,541st place
271
+3

English Wikipedia (en)

PR-score:
336,519th place
17,545
-3,696
AR-score:
265,480th place
3,567
+13
F-score:
167,102nd place
12
+1

Ukrainian Wikipedia (uk)

PR-score:
46,084th place
771
+139
AR-score:
56,611th place
291
+11
F-score:
32,990th place
4
0

French Wikipedia (fr)

PR-score:
257,732nd place
518
-225
AR-score:
249,104th place
287
0
F-score:
258,129th place
1
0

German Wikipedia (de)

PR-score:
317,183rd place
400
-62
AR-score:
280,417th place
337
0
F-score:
320,360th place
1
0

Russian Wikipedia (ru)

PR-score:
276,554th place
274
-265
AR-score:
247,801st place
125
0
F-score:
80,276th place
5
0

Armenian Wikipedia (hy)

PR-score:
57,522nd place
15
-31
AR-score:
61,443rd place
15
0
F-score:
29,654th place
2
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...