Comparison of indicators to detect emerging researches using time transition in quasicrystals

Abstract

To survive worldwide competitions of research and development, decision-makers and researchers must detect the cutting-edge areas at the earlier stage. Now that computers enable us to process a large amount of data efficiently, bibliometric analysis can support decision-makers and researchers to invest into proper researches. We aim to find leading papers of the next generation with bibliometric approach. We analyzed time transitions of indicators, and found that in-degree centrality, communicability centrality and PageRank are useful as the indicators to detect emerging researches.