Selecting publication keywords for domain analysis in bibliometrics: A comparison of three methods

By Guo Chen, Lu Xiao. J. Informetrics, 2016

296 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/09fb5a67cbfab2f889cec9ae9cd5130fff152c11

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

1. Dario Placencio-Hidalgo
2. Alejandro Álvarez-Marín
3. Mauricio Castillo-Vergara

In Information Systems

1. Dario Placencio-Hidalgo
2. Alejandro Álvarez-Marín
3. Mauricio Castillo-Vergara

In Statistics and Probability

1. Dario Placencio-Hidalgo
2. Alejandro Álvarez-Marín
3. Mauricio Castillo-Vergara

Citations in the corpus

• A bibliometric analysis of creativity in the field of business economics (2018, methodology): “…that proves useful in organizing information within a specific field (Albort-Morant & Ribeiro-Soriano, 2016); hence, a bibliometric analysis using key words allows the analysis of details in the main topics of research within a domain and relationships at the micro level (Chen & Xiao, 2016).”