基于文献计量的水资源学发展研究  被引量:6

Development Research of Water Resources Science Based on Bibliometric Method

在线阅读下载全文

作  者:韩宇平[1,2] 贾冬冬 王春颖[1] 

机构地区:[1]华北水利水电大学,河南郑州450045 [2]水资源高效利用与保障工程河南省协同创新中心,河南郑州450045

出  处:《华北水利水电大学学报(自然科学版)》2017年第5期54-62,共9页Journal of North China University of Water Resources and Electric Power:Natural Science Edition

基  金:国家自然科学基金项目(51279063);河南省科技创新人才计划(科技创新杰出青年)项目(144100510014);教育部新世纪优秀人才支持计划项目(NCET-13-0794)

摘  要:为及时了解国际学术热点,准确把握水资源学领域的学术研究动向,对寻求解决我国水资源学问题的途径具有重要的指导作用。基于Cite Space软件,采用定量化的文献计量方法对2000—2015年Web of Science核心合集数据库内标题中含有"water resources"的文献进行统计和共引分析,梳理与剖析16年来水资源学研究的发展趋势。结果表明:16年来,水资源学相关论文发表数量最多的国家为中国,发表文章最多的机构为中国科学院;聚类分析指出"区间参数多阶段随机线性规划(IMSLP)方法"和"非平稳数据的分析方法"为水资源学领域的研究基础,"水资源""气候变化"为当前水资源学的研究热点。Understanding international academic hotspot in time and accurately grasping the academic research trends in the field of water resources play an important role to actively seek solutions of water resources problems in our country. In this article,the development of water resources research was analyzed using bibliometric method based on quantitative analysis and using the software Cite Space. To clarify the development trend of water resources research from 2000 to 2015,the statistics and citation of the literatures which titles included " water resources" from the core collection database in Web of Science during the period from 2000 to 2015 were analyzed using quantitative bibliometric method and based on the software Cite Space. The results show that China has published the largest number of papers compared with other countries,and Chinese Academy of Science has published largest number of papers than other institutes around the world. The clustering analysis pointed out that " interval-parameter multi-stage stochastic programming model" and " non-stationary data analysis methods" were the study basics in the research field of water resources,and the water resources research mainly focus on the topics of " water resources" and " climate change".

关 键 词:水资源学 文献计量 引文网络 同被引分析 聚类分析 

分 类 号:TV213.4[水利工程—水文学及水资源] G350[文化科学—情报学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象