Abstract | ||
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Assessing the influence of a scholaru0027s work is an important task for funding organizations, academic departments, and researchers. Common methods, such as measures of citation counts, can ignore much of the nuance and multidimensionality of scholarly influence. We present an approach for generating dynamic visualizations of scholarsu0027 careers. This approach uses an animated node-link diagram showing the citation network accumulated around the researcher over the course of the career in concert with key indicators, highlighting influence both within and across fields. We developed our design in collaboration with one funding organization---the Pew Biomedical Scholars program---but the methods are generalizable to visualizations of scholarly influence. We applied the design method to the Microsoft Academic Graph, which includes more than 120 million publications. We validate our abstractions throughout the process through collaboration with the Pew Biomedical Scholars program officers and summative evaluations with their scholars. |
Year | DOI | Venue |
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2016 | 10.3389/frma.2017.00008 | Frontiers in Research Metrics and Analytics |
Field | DocType | Volume |
Graph drawing,Data science,Graph,Data mining,World Wide Web,Information visualization,Summative assessment,Computer science,Citation,Citation network,Bibliometrics,Scientometrics | Journal | abs/1611.07135 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jason Portenoy | 1 | 2 | 1.04 |
Jessica Hullman | 2 | 477 | 26.51 |
Jevin D. West | 3 | 302 | 27.78 |