Analysis of co-authorship patterns at the individual level

Publication activity, citation impact and communication patterns, in general, change in the course of a scientist's career. Mobility and radical changes in a scientist's research environment or profile are among the most spectacular factors that have effect on individual collaboration patterns. Although bibliometrics at this level should be applied with the utmost care, characteristic patterns of an individual scientist's research collaboration and changes in these in the course of a career can be well depicted using bibliometric methods. A wide variety of indicators and network tools are chosen to follow up the evolution and to visualise and to quantify collaboration and performance profiles of individual researchers. These methods are, however, designed to supplement expert-opinion based assessment and other qualitative assessments, and should not be used as stand-alone evaluation tools. This study presents part of the results published in an earlier study by Zhang and Glänzel (2012)4 as well as new applications of these methods.

通常而言，科学家在学术生涯中的科研产出活跃度、引文影响力与学术交流模式均会发生动态演变。科学家的职业流动，以及研究环境、研究概况的剧烈变动，是影响个体学术合作模式的最显著因素之一。尽管此类场景下的文献计量学（bibliometrics）研究需秉持极致审慎的态度开展，但借助文献计量方法，仍可清晰刻画个体科学家的学术合作特征模式及其在学术生涯中的演变轨迹。本研究选用了多样化的指标与网络分析工具，用以追踪学术合作的演化进程，并实现对个体研究者合作特征与绩效画像的可视化与量化分析。但此类方法仅用于辅助基于专家评议与其他质性评估的研究工作，不可作为独立的评价工具单独使用。本研究既呈现了Zhang与Glänzel于2012年发表的前期研究（Zhang and Glänzel, 2012）⁴中的部分成果，也展示了上述方法的全新应用。