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

28 Citations (Scopus)

Abstract

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
Pages184-191
Number of pages8
ISBN (Electronic)978-1-4503-3357-3
DOIs
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
Volume1008

Conference

Conference16th International Conference on Computer Systems and Technologies, CompSysTech 2015
CountryIreland
CityDublin
Period25/06/1526/06/15

Keywords

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

Cite this

Knutas, A., Hajikhani, A., Salminen, J., Ikonen, J., & Porras, J. (2015). Cloud-based bibliometric analysis service for systematic mapping studies. In B. Rachev, & A. Smrikarov (Eds.), Computer Systems and Technologies: 16th International Conference, CompSysTech 2015 (pp. 184-191). Association for Computing Machinery ACM. ACM International Conference Proceeding Series, Vol.. 1008 https://doi.org/10.1145/2812428.2812442