Document co-citation analysis to enhance transdisciplinary research
By Caleb M. Trujillo, Tammy Long. Science Advances, 2018
324 citations recorded by the source corpus.
Strategic literature searches have the potential to connect disciplines. Specialized and emerging fields of research infrequently cross disciplinary boundaries and would benefit from frameworks, methods, and materials informed by other fields. Document co-citation analysis, a method developed by bibliometric research, is demonstrated as a way to help identify key literature for cross-disciplinary ideas. To illustrate the method in a useful context, we mapped peer-recognized scholarship related to systems thinking. In addition, three procedures for validation of co-citation networks are proposed and implemented. This method may be useful for strategically selecting information that can build consilience about ideas and constructs that are relevant across a range of disciplines.
Subfields: Information Systems and Management, Management of Technology and Innovation, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/dadd0f8faacc00defb376fe276fde56e5625dcb9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
In Management of Technology and Innovation
In Statistics and Probability
Citations in the corpus
- GORC: A large contextual citation graph of academic papers (2019, background): “…and Goharian, 2015; Mitrovic and M¨uller, 2015; Qazvinian and Radev, 2008; Teufel et al., 2006), citation analysis (Asa-tani et al., 2018; Jurgens et al., 2018, 2016; Ding et al., 2014), and more (Trujillo and Long, 2018; Valenzuela et al., 2015; Caragea et al., 2014; Athar and Teufel, 2012).”
- S2ORC: The Semantic Scholar Open Research Corpus (2020, methodology): “, 2018; Small, 1973) or bibliometric analysis (Ding et al., 2014; Trujillo and Long, 2018; Asatani et al., 2018).”