Text mining techniques have become popular in many disciplines in the era of big data. Author profiling analysis, a method of text mining, is useful for identifying the intellectual structures of research fields and the latest research topics that did not appear from author co-citation analysis. This study analyzed the changing intellectual…

A bibliometric approach was employed to analyze the research productivity and performance of creativity studies between 1965 and 2012. A dataset was constructed using all publications and citations retrieved from four key journals that publish creativity research: "Journal of Creative Behavior" ("JCB"), "Gifted Child…

The purpose of this study was to analyze and compare recent research papers on foreign language education in Turkish context with those published in international context to shed light on researchers and policy makers for future studies. This study filled a gap in this field and also aimed to increase the rate of acceptance of research papers…

Veterinary medical research traditionally focuses on animal health and wellness; however, research activities at veterinary colleges extend beyond these traditional areas. In this study, we analyzed eleven years of Web of Knowledge-indexed peer-reviewed articles from researchers at the twenty-eight United States American Veterinary Medical…

This study investigated the longitudinal trends of e-learning research using text mining techniques. Six hundred and eighty-nine (689) refereed journal articles and proceedings were retrieved from the Science Citation Index/Social Science Citation Index database in the period from 2000 to 2008. All e-learning publications were grouped into two…