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Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature
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Mapping the backbone of science
TLDR
A new map representing the structure of all of science, based on journal articles, is presented, including both the natural and social sciences, including biochemistry, which appears as the most interdisciplinary discipline in science.
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Visualizing knowledge domains
L'A. passe en revue les techniques de visualisation utilisees pour representer de facon cartographique la structure de domaine des disciplines scientifiques, et pour soutenir la recherche…
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OpenOrd: an open-source toolbox for large graph layout
TLDR
An open-source toolbox for drawing large-scale undirected graphs based on a previously implemented closed-source algorithm known as VxOrd, which is extended by incorporating edge-cutting, a multi-level approach, average-link clustering, and a parallel implementation.
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Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?
TLDR
Of the three pure citation-based approaches, bibliographic coupling slightly outperforms co-citation analysis using both accuracy measures; direct citation is the least accurate mapping approach by far.
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Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches
TLDR
PubMed Related Articles' own related article approach (PMRA) generated the most coherent and most concentrated cluster solution of the nine text-based similarity approaches tested, followed closely by the BM25 approach using titles and abstracts.
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Toward a consensus map of science
TLDR
The circular map of science is found to have a high level of correspondence with the 20 existing maps, and has a variety of advantages over hierarchical and centric forms.
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Identifying emerging topics in science and technology
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Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?
TLDR
Direct citation provides a more accurate representation of the taxonomy of scientific and technical knowledge than either bibliographic coupling or co‐citation, and it is found that discipline‐level taxonomies based on journal schema are highly inaccurate compared to topic‐levelTaxonomies, and recommend against their use.
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Mapping knowledge domains: Characterizing PNAS
  • K. Boyack
  • Economics
    Proceedings of the National Academy of Sciences…
  • 6 April 2004
TLDR
By using funding source information and citation counts, it is shown that, on an aggregate basis, papers funded jointly by the U.S. Public Health Service and non-U.s. government sources outperform papers funded by other sources.
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