In this presentation, a new algorithm for bibliographic analysis is proposed. Bibliographic coupling and co-citation analysis methodologies are used to study the structure and production of scientific communities, but until now these two methodologies have been considered separately. The proposed algorithm considers together these two methodologies using bicluster method. Indeed, it groups together the paired bibliographic papers and the co-cited references but keeping them divided, such that the references grouped together represent the roots from which was born the trend to which the citing papers, grouped together, adhere.