In the last decades, there is an emerging interest in finding novel methods to automatically (or semi-automatically) evaluate the work of research groups (or single researchers) to quantify their impact and the quality of their work on the surrounding research community. Such interest is due to important needs related to promotions, allocation of funds, and employment in general. In light of this, instead of focusing on a pure quantitative/qualitative evaluation of research outcomes (set of publications), we propose a novel hybrid temporal model for estimating the impact of a research group by focusing on their centrality within the scientific network formed by the contributors of a scientific conference. With this approach we aim at analyzing how each scientific group interacts with the others and detect those who result more crucial for the publishing high quality papers in the considered community. We the implemented and evaluated our model with a set of experiments on real case scenarios.