Cloud-based bibliometric analysis service for systematic mapping studies

Antti Knutas, Arash Hajikhani, Juho Salminen, Jouni Ikonen, Jari Porras

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

38 Citations (Scopus)


There is an increasing number of scientific articles being published, which makes tracking the state of the art more time-consuming. There are software tools available to help with systematic mapping studies in a field of science, but most of these tools are closed source and involve several manual timeconsuming steps that could be automated further. We present an open solution as a cloud-based design for bibliographic analysis that makes the research method available for a wider audience.

Original languageEnglish
Title of host publicationComputer Systems and Technologies
Subtitle of host publication16th International Conference, CompSysTech 2015
EditorsBoris Rachev, Angel Smrikarov
PublisherAssociation for Computing Machinery ACM
Number of pages8
ISBN (Electronic)978-1-4503-3357-3
Publication statusPublished - 25 Jun 2015
MoE publication typeA4 Article in a conference publication
Event16th International Conference on Computer Systems and Technologies, CompSysTech 2015 - Dublin, Ireland
Duration: 25 Jun 201526 Jun 2015

Publication series

SeriesACM International Conference Proceeding Series


Conference16th International Conference on Computer Systems and Technologies, CompSysTech 2015


  • Bibliometric analysis
  • Citation analysis
  • Cloud computing
  • Literature review
  • R
  • Saas
  • Social network analysis
  • Systematic mapping study

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