English Wikipedia

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Popular articles in February 2019 (101-200)

# Changes Title Quality
101-94You (TV series)
73.612
102-19Jeff Bezos
95.0
103-76Spider-Man: Into the Spider-Verse
93.4981
104-10New York City
96.9704
105+13Russia
94.1101
106+13List of countries by GDP (nominal)
60.4408
107+849Elizabeth Holmes
84.6606
108-92020 United States presidential election
80.1694
109+100Muhammad Ali
97.2078
110-15Library Genesis
36.5103
111+33Education
92.2986
112+1506Dirty John
47.8245
113-5Japan
97.0203
114+16Renaissance
91.1645
115+142LeBron James
100.0
116+395Gully Boy
52.5679
117-1Singapore
97.3698
118+4719Fighting with My Family
38.0214
119+266Venezuela
91.3595
120-23XXXTentacion
100.0
121-35HTTP cookie
76.0622
122-62Uri: The Surgical Strike
61.8018
123+528Malcolm X
100.0
124+2519Elimination Chamber (2019)
64.9668
125+382020 Democratic Party presidential primaries
100.0
126+36The Beatles
100.0
127+26Firefox
98.4966
128-692018 in film
73.0455
129+144Don Shirley
39.3142
130-5Mahatma Gandhi
98.7308
131+21Albert Einstein
91.2057
132+74552019 Venezuelan presidential crisis
100.0
133-2The Big Bang Theory
95.2864
134+5425Demographics of India
86.2875
135+20Mahershala Ali
50.0722
136-38Marvel Cinematic Universe
100.0
137-49Netflix
94.8789
138+262Andrew Cunanan
66.4072
139+42John F. Kennedy
97.4456
140+2303Jackie Robinson
100.0
141+452Anthem (video game)
70.8582
142+1767Thank U, Next
82.0638
143+1435Doom Patrol (TV series)
50.0421
144+2172019 Indian general election
82.2545
145+80List of UFC events
81.7948
146+20List of TCP and UDP port numbers
72.58
147+828Rosa Salazar
25.2991
148+50Israel
98.0914
149+21Amazon (company)
96.7118
150-74Vice (2018 film)
55.1557
151+34Vietnam War
96.6363
152+2Netherlands
90.1323
153-17William Shakespeare
100.0
154-39The Orville
86.1538
155+1926ix9ine
81.7582
156-15Elvis Presley
100.0
157+12Steve Jobs
97.3368
158-41Brooklyn Nine-Nine
68.5073
159-16ISO 8601
60.0493
160+14Beppe Grillo
70.296
161+292The Walking Dead (TV series)
93.5246
162+5European Union
92.4708
163+80Franklin D. Roosevelt
91.749
164-54The Rising of the Shield Hero
55.2773
165+38Lionel Messi
100.0
166-38Apple Inc.
99.3966
167-9France
93.3953
168+11Bill Gates
93.3969
169-158Bird Box (film)
52.2891
170-80Avengers: Infinity War
100.0
171-60London
96.0501
172+9693Kingdom (South Korean TV series)
46.9147
173-53Tulsi Gabbard
100.0
174+14Winston Churchill
100.0
175+12List of countries by cement production
24.2857
176+3555Paige (wrestler)
94.3304
177+697PewDiePie vs T-Series
64.7115
178+52Eminem
100.0
179-23Star Trek: Discovery
95.3846
180+83America's Got Talent: The Champions
70.5789
181+43The Masked Singer (U.S. TV series)
58.7115
182+641UFC 235
33.4896
183+576The Walking Dead (season 9)
96.4274
184-35Game of Thrones (season 8)
80.1556
185+59September 11 attacks
96.7715
186+14List of The Big Bang Theory episodes
44.8461
187+17Google Maps
93.4133
188+115BlacKkKlansman
62.4304
189+132Kingdom Hearts III
100.0
190+41American Civil War
96.3292
191+99809The Wandering Earth
51.2693
192+27Brian May
97.6833
193+99807List of The Umbrella Academy characters
31.2885
194-14Thailand
91.526
195+40062019 NBA All-Star Game
62.9938
196+177Pakistan
97.3299
197-3Riverdale (2017 TV series)
88.542
198+7Joseph Stalin
100.0
199-108Dick Cheney
94.0832
200-100Tom Brady
94.0292
<< < 1-100 | 101-200 | 201-300 | 301-400 > >>

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About WikiRank

The project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 38 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from March, 2019. When calculating popularity, view statistics of articles for last month (February 2019) were taken into account.

You can also visit WikiRank.Live (previous version of the main tool), which can calculate quality and popularity based on current versions of Wikipedia articles in 7 languages.

It's planned to add different improvements to the project (such as adding to the analysis not only new quantitative characteristics, but also qualitative). In addition, it is planned to add estimates using machine learning algorithms and artificial intelligence, as well as based on the results of user comparison of specific multilingual information (for example, the WikiBest project). Please leave your comments and suggestions

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