WikiRank (or WikiRank) is a Web service for automatic relative evaluation and comparison of the articles in the various language versions of Wikipedia.

The first mention of the service in scientific works was in 2015.[1] One of the researches that describes the results of the quality assessment using the WikiRank service was recognized as one of the most important findings of Wikipedia and other Wikimedia projects in 2017–2018.[2]

The distinctive feature of the service is that it allows assess quality and popularity of Wikipedia articles by a scale from 0 to 100 as a result of synthetic measure calculation. This simplifies the comparison of the articles language versions, which can have various grading schemes and assessment standards.[3] To obtain quality and popularity grades, WikiRank uses different important normalized measures, such as:

Profile of the Wikipedia article on WikiRank

In the beginning, the service allowed to compare the quality of articles in 7 language versions. Now the service can evaluate articles in more than 50 major language editions of Wikipedia.

WikiRank is used also for didactic purposes in various higher educational institutions (such as the University of Warsaw[17]).

Scores provided by WikiRank used in quality assessment of infoboxes.[18] It is possible to download data sets with WikiRank scores for over 37 million Wikipedia articles.[19]

In November 2018 service started using data from DBpedia and Wikidata to show information from various thematic ratings.[20] In May 2019 WikiRank provided new measures (such as local and global popularity) with historical values and published open data sets with quality, popularity and AI measures for over 39 million Wikipedia articles.[21]

In May 2020 WikiRank was upgraded to version 1.01 with new features: fair popularity, citation index, improved quality score and others.[22] For instance, visitors number for some articles was “overclocked” in some periods of time, therefore for such cases the popularity was modified based on different indicators: number of the edits and authors, page protection, the rate of citation increasing of the article, popularity statistics of related keywords (phrases) in Google Trends and others.


  1. Węcel, Krzysztof; Lewoniewski, Włodzimierz (2015-12-02). Modelling the Quality of Attributes in Wikipedia Infoboxes. Lecture Notes in Business Information Processing 228. pp. 308–320. ISBN 978-3-319-26761-6. doi:10.1007/978-3-319-26762-3_27. Retrieved 2018-07-07. 
  2. Wikimania 2018 — the most important findings of the year — Department of Information Systems
  3. Lewoniewski, Włodzimierz; Węcel, Krzysztof; Abramowicz, Witold (2017-12-08). "Relative Quality and Popularity Evaluation of Multilingual Wikipedia Articles". Informatics 4 (4): 43. doi:10.3390/informatics4040043. 
  4. Blumenstock, J.E.: Size Matters: Word Count as a Measure of Quality on Wikipedia. In: WWW. pp. 1095-1096 (2008).
  5. Yaari, E., Baruchson-Arbib, S., JuBar-Ilan, J.: Information Quality Assessment of Community Generated Content: A User Study of Wikipedia. Journal of Information Science 37(5), 487-498 (2011)
  6. Warncke-Wang, M., Ayukaev, V. R., Hecht, B., & Terveen, L. G. (2015). The Success and Failure of Quality Improvement Projects in Peer Production Communities. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 743-756). ACM.
  7. Soonthornphisaj, N., & Paengporn, P. (2017). Thai Wikipedia Article Quality Filtering Algorithm. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 1).
  8. Dalip, D.H., Gonçalves, M.A., Cristo, M., Calado, P.: Automatic Quality Assessment of Content Created Collaboratively by Web Communities: A Case Study of Wikipedia. In: Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries. pp. 295-304 (2009).
  9. Dang, Q.V., Ignat, C.L.: Measuring Quality of Collaboratively Edited Documents: The Case of Wikipedia. In: Collaboration and Internet Computing (CIC), 2016 IEEE 2nd International Conference on. pp. 266-275. IEEE (2016)
  10. Wu, K., Zhu, Q., Zhao, Y., Zheng, H.: Mining the Factors Affecting the Quality of Wikipedia Articles. In: Information Science and Management Engineering (ISME), 2010 International Conference of. vol. 1, pp. 343-346. IEEE (2010)
  11. Liu, J., Ram, S.: Using Big Data and Network Analysis to Understand Wikipedia Article Quality. Data & Knowledge Engineering (2018)
  12. Lewoniewski, Włodzimierz; Węcel, Krzysztof; Abramowicz, Witold (2016-09-22). Quality and Importance of Wikipedia Articles in Different Languages. Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science. Communications in Computer and Information Science 639. pp. 613–624. ISBN 978-3-319-46253-0. doi:10.1007/978-3-319-46254-7_50. Retrieved 2018-07-07. 
  13. Lerner, J., Lomi, A.: Knowledge Categorization Affects Popularity and Quality of Wikipedia Articles. PLOS One 13(1), e0190674 (2018)
  14. Warncke-Wang, Morten, Dan Cosley, and John Riedl. Tell Me More: An Actionable Quality Model for Wikipedia. Proceedings of the 9th International Symposium on Open Collaboration. ACM, 2013.
  15. Zhang, S., Hu, Z., Zhang, C., Yu, K.: History-based article quality assessment on wikipedia. In: Big Data and Smart Computing (BigComp), 2018 IEEE International Conference on. pp. 1-8. IEEE (2018)
  16. Shen, A., Qi, J., Baldwin, T.: A hybrid model for quality assessment of wikipedia articles. In: Proceedings of the Australasian Language Technology Association Workshop 2017. pp. 43-52 (2017)
  17. Wikipedia jako źródło informacji - USOSweb UW
  19. Wiki Rank (2018). "Quality scores for Wikipedia articles (July 2018)". Figshare. doi:10.6084/m9.figshare.7272713. 
  20. November 2018 update & upgrade - WikiRank blog
  21. Wiki Rank (2019). "WikiRank 05.2019 - quality, popularity and AI for Wikipedia articles". Figshare. doi:10.6084/m9.figshare.8231273.v2. 
  22. WikiRank upgrade: fair popularity and new features