太阳成8722(中国)有限公司-GREEN NO.1

标题：Global trends in DEM-related research from 1994 to 2013: a bibliometric analysis

作者：彭玉玲、林爱文、王珂、刘凤莲、曾芳、杨莉

来源出版物：Scientometrics 卷：105 期：1 页：347–366 DOI: 10.1007/s11192-015-1666-7

摘要：Using the science citation index and the social sciences citation index databases, we performed a bibliometric analysis of the global studies on the digital evaluation model (DEM) that were conducted between 1994 and 2013. We identified the authorial, institutional, international, categorical, spatiotemporal patterns, and hotspots in DEM-related research. The number of DEM-related publications has been continuously increasing since 1994. Geology, engineering, and physical geography were the most frequently used subject categories in DEM-related studies, whereas Geomorphology, International Journal of Remote Sensing, and IEEE Transactions on Geoscience and Remote Sensing were the most active journals in the field. Toutin, T., Favalli, M., and Hancock, G. R. were the most prolific authors in DEM-related research. Authors of DEM-related research were mostly located in the USA, the European Union, and East Asia. The USA, China, and the UK were the top three most productive countries. The Chinese Academy of Sciences, the largest contributor of single-institution and collaborative publications on DEM, has a key position in collaboration networks. Both the number of articles that are internationally and inter-institutionally collaborative is increasing, with the former being more prevalent than the latter. Through keyword analysis, we observed several interesting terminology preferences, revealed the adoption of advanced technologies, and examined the patterns and underlying processes of geoscience. In summary, our study identified the quantitative, qualitative, temporal, and spatial characteristics, academic collaborations, as well as hotspots in scientific outputs and provided an innovative method of revealing global trends in DEM-related research to guide future studies.

文献类型：Article

语种：English

作者关键词：DEM, Bibliometrics, Correlation analysis, Research trend, Scientific

outputs

通讯作者地址：Aiwen Lin; School of Resource and Environmental Science, Wuhan University, Wuhan 430079, Hubei, China

电子邮件地址：awlin@263.net

ISSN: 0138-9130

eISSN: 1588-2861

影响因子（2014）：2.183