Robust analysis of bibliometric data
نویسندگان
چکیده
This work stems from the idea of describing the scientific productivity of Italian statisticians. There are several problems that must be addressed in achieving this goal:What data should be used? Have the data been cleaned?What techniques can be used?We propose the use ofmultiple sources andmultiplemetrics to get a complete information base. We check the correctness of the data using multivariate outlier identification techniques. We appropriately transform the data. We apply robust clustering to verify the existence of homogeneous groups. We suggest the use of forward search to establish a ranking among scholars. The proposed methodology, which, in this case, allowed us to group scholars into four homogeneous groups and sort them according to multidimensional data, can be applied to other similar applications in bibliometrics.
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عنوان ژورنال:
- Statistical Methods and Applications
دوره 22 شماره
صفحات -
تاریخ انتشار 2013