Bibliometric analysis of scientific communities: network aspects
More than ever in the history of science, research is a social game rather than an individual endeavor. The quantitative analysis and assessment of scientific actitvities, i.e. scientometrics, should therefore turn its focus from the individuals to the links among them. These links, manifesting themselves in form of co-authorship, cross-citations and various other forms of formal and informal connections, can be studied with a wide spectrum of tools from the simplest tallies to the most sophisticated techniques of network theory. An overview of these methods and some illustrative examples will be given in the presentation.
Curriculum vitae
András Schubert holds a PhD in chemistry from the Technical University of Budapest (Hungary). He switched from physical chemistry to library & information science in 1979, when he joined to the Information Science & Scientometrics Research Group (ISSRU) of the Hungarian Academy of Science (Budapest, Hungary). As the Head of the Bibliometrics Service, he lead dozens of research projects, published more than a hundred research papers and held numerous lectures on conferences and courses. His main research interest is the construction and analysis of scientometric indicators (particularly at macro-level) and the study of the network structure of scientific research communities. He is the Editor of the journal Scientometrics; won the Derek John de Solla Price Medal in 1993; is listed in the ISI Highly Cited Researchers database as the only representant of scientometrics.