Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature
By Caroline S. Wagner, J. Roessner, Kamau Bobb, J. Klein, Kevin W. Boyack, Joann Keyton, Ismael Rafols, Katy Börner. J. Informetrics, 2011
326 citations recorded by the source corpus.
Subfields: Information Systems and Management, Molecular Biology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/da61ece574336d34b8da79cb728a86fc7e11de13
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 Molecular Biology
In Statistics and Probability
- John C. Mingers
- Loet Leydesdorff
- Nancy J. Cooke
- L. Klerkx
- Chaomei Chen
- Ismael Rafols
- Judit Bar-Ilan
- Saif M. Mohammad
Citations in the corpus
- A review of theory and practice in scientometrics (2015, methodology): “isciplinary research in the field of business and management. Indeed, bibliometrics is still at the stage of establishing reliable and feasible methods for defining and measuring interdisciplinarity (Wagner et al., 2011). Huutoniemi et al. (2010) developed a typology and indicators to be applied to ”
- Systemic perspectives on scaling agricultural innovations. A review (2016, background): “2014a, b), interdisciplinary (e.g. Frodeman et al. 2010; Wagner et al. 2011) and transdisciplinary (e.”
- Enhancing the Effectiveness of Team Science (2015, methodology): “Particularly challenging is the measurement of deep interdisciplinary knowledge integration (Wagner et al., 2011), but there are new methods and measures that appear promising as discussed in Chapter 9.”