Analysis of academic productivity based on Complex Networks

Álvarez, R. (Universidad de Zaragoza) ; Cahué, E. ; Clemente-Gallardo, J. (Universidad de Zaragoza) ; Ferrer, A. ; Íñiguez, D. ; Mellado, X. ; Rivero, A. ; Ruiz, G. ; Sanz, F. ; Serrano, E. ; Tarancón, A. (Universidad de Zaragoza) ; Vergara, Y.

Resumen: We present a new tool, Kampal (http://kampal.unizar.es), developed to help to analyze the academic productivity of a research institution from the point of view of Complex Networks. We will focus on two main aspects: paper production and funding by research grants. Thus, we define a network of researchers and define suitable ways of describing their interaction, either by co-publication, project-collaboration, or a combination of both. From the corresponding complex networks, we extract maps which encode in graphical terms the relevant information and numerical parameters which encode the topological properties of the network. Thousands of these maps have been created and allow us to study the similarities and differences of the co-publications and the project-collaboration networks

Idioma: Inglés

DOI: 10.1007/s11192-015-1627-1

Año: 2015

Publicado en: SCIENTOMETRICS 104, 3 (2015), 651-672
ISSN: 0138-9130

Factor impacto JCR: 2.084 (2015)

Categ. JCR: INFORMATION SCIENCE & LIBRARY SCIENCE rank: 17 / 86 = 0.198 (2015) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 28 / 104 = 0.269 (2015) - Q2 - T1

Factor impacto SCIMAGO: 1.149 - Computer Science Applications (Q1) - Social Sciences (miscellaneous) (Q1) - Library and Information Sciences (Q1)

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Física Aplicada (Dpto. Física Aplicada)
Área (Departamento): Área Física Teórica (Dpto. Física Teórica)