websters-online-dictionary.org
Philip M. Parker holds the INSEAD Chair Professorship of Management Science at INSEAD. He has patented a method to automatically produce a set of similar books from a template which is filled with data from database and Internet searches. He claims that his programs have written more than 200,000 books. Parker publishes the automated books through Icon Group International, using several Icon group subheadings. Via EdgeMaven Media, he also provides applications for firms from different business domains to create their own computer-authored content material. More information...
Multilingual Wikipedia
In June 2020 the website websters-online-dictionary.org was on the 12,529th 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 23,778th place in June 2020. From Wikipedians' point of view, "websters-online-dictionary.org" is the 15,881st most reliable source in different language versions of Wikipedia (AR-score).
The website is placed before pressian.com and after mfc.co.uk in multilingual PR ranking of the most reliable sources in Wikipedia.
12,529th place
15,881st place 23,778th placeEnglish Wikipedia (en)
9,805th place 12,264th place 27,058th placeSpanish Wikipedia (es)
13,764th place 19,680th place 23,788th placeItalian Wikipedia (it)
5,779th place 14,278th place 17,573rd placeJapanese Wikipedia (ja)
14,683rd place 28,149th place 32,714th placeArabic Wikipedia (ar)
3,132nd place 5,727th place 10,493rd placeFrench Wikipedia (fr)
22,530th place 16,129th place 21,845th placeWikipedia Languages
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- az Azerbaijani
- be Belarusian
- bg Bulgarian
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- no Norwegian
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- simple Simple English
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- zh-min-nan Min Nan
- More 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...