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Efficient Planarity Testing

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Multilingual Wikipedia

In June 2020 the work Efficient Planarity Testing was on the 1,370th 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 27,863rd place in June 2020. From Wikipedians' point of view, "Efficient Planarity Testing" is the 7,007th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
1,370th place
431,143
-110,271
AR-score:
7,007th place
12,490
-444
F-score:
27,863rd place
18
+1

English Wikipedia (en)

PR-score:
2,551st place
232,210
-91,340
AR-score:
25,332nd place
4,380
-491
F-score:
132,125th place
3
0

Russian Wikipedia (ru)

PR-score:
178th place
148,025
-18,285
AR-score:
332nd place
4,295
+50
F-score:
13,543rd place
2
0

German Wikipedia (de)

PR-score:
2,491st place
43,814
+3,286
AR-score:
7,641st place
1,828
0
F-score:
36,706th place
1
0

French Wikipedia (fr)

PR-score:
12,095th place
5,052
-3,586
AR-score:
6,462nd place
1,151
-13
F-score:
5,651st place
4
+1

Romanian Wikipedia (ro)

PR-score:
1,621st place
1,466
+58
AR-score:
7,616th place
25
0
F-score:
9,155th place
1
0

Catalan Wikipedia (ca)

PR-score:
6,561st place
375
-158
AR-score:
3,742nd place
401
+10
F-score:
3,519th place
2
0

Hungarian Wikipedia (hu)

PR-score:
10,779th place
115
-192
AR-score:
11,061st place
31
0
F-score:
3,186th place
2
0

Persian Wikipedia (fa)

PR-score:
17,885th place
36
+26
AR-score:
15,077th place
31
0
F-score:
10,841st place
1
0

Arabic Wikipedia (ar)

PR-score:
74,916th place
33
-67
AR-score:
13,398th place
266
0
F-score:
30,228th place
1
0

Serbian Wikipedia (sr)

PR-score:
21,229th place
14
-14
AR-score:
9,690th place
78
0
F-score:
16,159th place
1
0

Wikipedia Languages

About the project

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...

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