Artículo

Specialization trends in economics research: A large‐scale study using natural language processing and citation analysis

Resumen

This article conducts a comprehensive analysis of specialization trends within and across fields of economics research. We collect data on 24,273 articles published between 1970 and 2016 in general research economics outlets and employ machine learning techniques to enrich the collected data. Results indicate that theory and econometric methods papers are becoming increasingly specialized, with a narrowing scope and steady or declining citations from outside economics and from other fields of economics research. Conversely, applied papers are covering a broader range of topics, receiving more extramural citations from fields like medicine, and psychology. Trends in applied theory articles are unclear.
Autores
Jacinto, AA; Spinace, MAD
Título
Mapping of the Brazilian Groups Studying Nanocellulose
Afiliaciones
Universidade Federal do ABC (UFABC)
Año
2019
DOI
10.32604/jrm.2019.04427
Tipo de acceso abierto
hybrid
Referencia
WOS:000469795600003
Artículo obtenido de:
WOS
Fuente
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