
In this paper, we present a framework for reverse engineering allowing the integration and interaction of different analysis and visualization tools. The framework architecture that we propose uses a dynamic type system to guarantee the proper exchange of data between the tools and a set of wrapper classes to handle their communication. This allows for an easy and secure integration of tools that have originally not been designed to work together. In this sense, existing tools can be (re-)used and integrated. As a proof of concept we also present our own instantiation of the proposed framework architecture.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
