35 citations · 73 across the 5 of their papers we have counts for
5 papers
Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score
Peter Sjögårde, Per Ahlgren
In this contribution, we deal with seed-based information retrieval in networks of research publications. Using systematic reviews as a baseline, and publication data from the NIH…
Normalization of direct citations in publication-level networks: Evaluation of six approaches
Peter Sjögårde, Per Ahlgren
Clustering of publication networks is an efficient way to obtain classifications of large collections of research publications. Such classifications can be used to, e.g., detect re…
Algorithmic labeling in hierarchical classifications of publications: Evaluation of bibliographic fields and term weighting approaches
Peter Sjögårde, Per Ahlgren, Ludo Waltman
Algorithmic classifications of research publications can be used to study many different aspects of the science system, such as the organization of science into fields, the growth…
Granularity of algorithmically constructed publication-level classifications of research publications: Identification of specialties
Peter Sjögårde, Per Ahlgren
In this work, in which we build on, and use the outcome of, an earlier study on topic identification in an algorithmically constructed publication-level classification (ACPLC), we…
Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics
Peter Sjögårde, Per Ahlgren
The purpose of this study is to find a theoretically grounded, practically applicable and useful granularity level of an algorithmically constructed publication-level classificatio…