Current issue: Volume 20, No. 1 (2020)
Research topics and trends over the past decade (2001-2013) of Baltic Coleopterology using text mining methods
Do Y., Skłodowski J. 2014. Research topics and trends over the past decade (2001-2013) of Baltic Coleopterology using text mining methods. Baltic J. Coleopterol., 14(1): 1 - 6.
The Baltic Journal of Coleopterology (BJC) is one of the most important and respected literature sources in the field of coleopterology. Over the past decade (2001-2013), 270 articles in 13 volumes of BJC were published on all aspects of beetles (Coleoptera) including faunistics, taxonomy, biogeography, and ecology. For improving our understanding of coleopterology and in guiding the future of BJC, we reviewed the articles in BJC using bibliometric analysis methods of text mining to summarise the research reported in the scientific literature by a set of indicators. Text mining analysis has shown a clear reduction of journal terms and concepts to two knowledge domains dealing with taxonomy and ecology. In addition, carabid community and distribution subjects were continuously contributed to the journal while relatively new topics such as landscape preference and modeling arose significantly since 2009.
KeyWords : bibliometrics, text mining, topic modeling, VOSviewer
Volume 20, No. 1 (2020)
Volume 19, No. 2 (2019)