The number of research papers published in scientific journals is exponentially increased during the last years. In a recent study by Van Noorden, based on publications in Web of Science, it is demonstrated that the growth rate of publications, was 1% in the 18th century, to 2 to 3% in the period between the two world wars, and 8 to 9% up to 2010. This evolution of scientific output is equivalent to a doubling every nine years. Thus, when writing a review paper, a research project proposal or the significant part of any research paper regarding the related literature, a researcher is called to analyze a vast amount of research papers.
Accordingly, new terminology, as well as techniques, appear, like bibliometric analysis, bibliometrics, scientometrics, scientific mapping etc., where with the aid of computer algorithms, it is possible to analyze a vast amount of research papers, strengthening the elementary reviews made by individual researchers. The main purpose of this numerical elaboration is to construct bibliometric maps of the studied field. Bibliometric maps reveal associations of keywords, authors, journals as well as references, though their distances on a two-dimensional map, exhibiting significant information about how the studied papers are interrelated, by their simultaneous appearance in research works. Thus, the conclusions regarding the scientific field studied, are based on an extended database of papers, and through a rigor computational procedure, the outcome is precisely documented.
Utilization of the bibliometric maps: In-depth analysis of some hundreds, thousands, or even tens of thousands of papers. Reveal the significant research topics in each subject area. Identify associations among thematic areas, authors, references, institutions etc. Handle the exponential growth rate of scientific output. Document literature review thoroughly. Avoid focusing on topics of minor interest. Detect interdisciplinary associations. Similarities between research objects. Colored Similarity Matrix of keywords. Co-occurrences of keywords. Databases regarding the studied topic. Time-series for historical evolution of the thematic area.
Bibliometric Maps – Objects and Keywords: Positioning in an (x,y) point. Co-occurrences and linear connections. Line attributes and similarities (co-occurrences) between the objects. Distances between the objects and dissimilarities. Textual size of objects and number of occurrences. Representation of dis-similarities though distances. Authors: Bibliometric maps of co-occurrences of authors’ names in a paper. Research groups and co-authors. References: major and minor clusters of papers.
Who Should Attend
- researchers who wish to analyze the literature of a specific thematic area
- researchers who deal with literature reviews
- industrial professionals who wish to retrieve information of current research on a product, material or method
- theory of clustering and bibliometric mapping
- hands-on experience with software to analyze scopus databases
- attendees will receive free software for bibliometric mapping for their own utilization
Course Instructor: Dr. Nikolaos Bakas