中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > Measuring and Visualizing Research Collaboration and Productivity 数据与情报科学学报(英文) 2018,3 (1)
Position: Home > Articles > Measuring and Visualizing Research Collaboration and Productivity Journal of Data and Information Science 2018,3 (1)

Measuring and Visualizing Research Collaboration and Productivity

作  者：
Jon Garner;Alan L. Porter;Andreas Leidolf;Michelle A. Bake
单  位：
Ecology Center , Utah State University , Logan , UT , USA;Search Technology, Inc. , Norcross , GA , USA;School of Public Policy, Georgia Institute of Technology , Atlanta , USA;Ecology Center , Utah State University , Logan , UT , US
关键词：
bibliometrics;interdisciplinarity;multidisciplinarity;research evaluation;research collaboration mapping;science visualization;scientometrics;social network analysi
摘  要：
Abstract Purpose This paper presents findings of a quasi-experimental assessment to gauge the research productivity and degree of interdisciplinarity of research center outputs. Of special interest, we share an enriched visualization of research co-authoring patterns. Design/methodology/approach We compile publications by 45 researchers in each of 1) the iUTAH project, which we consider here to be analogous to a “research center,” 2) CG1— a comparison group of participants in two other Utah environmental research centers, and 3) CG2—a comparison group of Utah university environmental researchers not associated with a research center. We draw bibliometric data from Web of Science and from Google Scholar. We gather publications for a period before iUTAH had been established (2010–2012) and a period after (2014–2016). We compare these research outputs in terms of publications and citations thereto. We also measure interdisciplinarity using Integration scoring and generate science overlay maps to locate the research publications across disciplines. Findings We find that participation in the iUTAH project appears to increase research outputs (publications in the After period) and increase research citation rates relative to the comparison group researchers (although CG1 research remains most cited, as it was in the Before period). Most notably, participation in iUTAH markedly increases co-authoring among researchers—in general; and for junior, as well as senior, faculty; for men and women: across organizations; and across disciplines. Research limitations The quasi-experimental design necessarily generates suggestive, not definitively causal, findings because of the imperfect controls. Practical implications This study demonstrates a viable approach for research assessment of a center or program for which random assignment of control groups is not possible. It illustrates use of bibliometric indicators to inform R&D program management. Originality/value New visualizations of researcher collaboration provide compelling comparisons of the extent and nature of social networking among target cohorts.

相似文章

导出引用
计量
文章访问数: 3
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46