Bibliometric Mapping of the Computational Intelligence Field
By Nees Jan van Eck, Ludo Waltman. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007
311 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/320d5ed0dee262c7351bb433e1b9983ee4eb00fd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Enrique Herrera-Viedma
- Nees Jan van Eck
- Ludo Waltman
- F. Cabrerizo
- Francisco Herrera
- Manuel Jesus Cobo
- Antonio Gabriel López-Herrera
- Rommert Dekker
Citations in the corpus
- Visualizing the structure and bridges of the intellectual property management and strategy literature: a document co-citation analysis (2014, unknown): “Most likely, the areas therefore point to important research topics (van Eck and Waltman 2007).”
- Virtual and remote labs in education: A bibliometric analysis (2016, background): “In bibliometrics, equivalence index is also known as proximity index [106], probabilistic affinity index [107], and association strength [14, 108].”
- Systematic literature review and bibliometric analysis on virtual reality and education (2022, methodology): “A similarity measure known as the strength of association was used to construct the bibliometric maps (Cobo et al., 2011; Van Eck & Waltman, 2007).”
- A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS (2010, methodology): “We argued that the most appropriate measure for normalizing co-occurrence frequencies is the so-called association strength (e.g., Van Eck & Waltman, 2007b; Van Eck et al., 2006).”
- How to normalize cooccurrence data? An analysis of some well-known similarity measures (2009, unknown): “For a more detailed description of the term data set, we refer to an earlier paper (Van Eck and Waltman, 2007).”
- Science mapping software tools: Review, analysis, and cooperative study among tools (2011, methodology): “This technique builds a similarity matrix from a co-occurrence matrix using a similarity measure known as the association strength (van Eck & Waltman, 2007, 2009).”
- SciMAT: A new science mapping analysis software tool (2012, methodology): “…have been used in the literature to normalize a bibliometric network: Salton's cosine (Salton & McGill, 1983), Jaccard Index (Peters & van Raan, 1993), Equivalence Index (Callon, Courtial, & Laville, 1991), and association strength (Coulter, Monarch, & Konda, 1998; van Eck & Waltman, 2007).”
- Software survey: VOSviewer, a computer program for bibliometric mapping (2009, methodology): “Instead, it uses a similarity measure known as the association strength ( Van Eck and Waltman 2007b; Van Eck et al. 2006).”
- Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight (2010, methodology): “The algorithm used in this study is proposed by Van Eck and Waltman (2007).”
- VOSviewer: A Computer Program for Bibliometric Mapping (2009, methodology): “The viewer component of VOSviewer is based on the viewer software used by Van Eck and Waltman (2007b) and Van Eck et al. (2006, 2008b).”