
Indexed in
License and use

Grant support
This work was supported by Ministry of Economy and Competitiveness of Spain (research project MTM2015-63914-P).
Analysis of institutional authors
Galeano, JavierAuthorA stochastic generative model of the World Trade Network
Publicated to:Scientific Reports. 9 (18539): 18539- - 2019-12-06 9(18539), DOI: 10.1038/s41598-019-54979-1
Authors: Garcia-Algarra, Javier; Luz Mouronte-Lopez, Mary; Galeano, Javier
Affiliations
Abstract
The World Trade Network (WTN) is a network of exchange flows among countries whose topological and statistical properties are a valuable source of information. Degree and strength (weighted degree) are key magnitudes to understand its structure and generative mechanisms. In this work, we describe a stochastic model that yields synthetic networks that closely mimic the properties of annual empirical data. The model combines two popular mechanisms of network generation: preferential attachment and multiplicative process. Agreement between empirical and synthetic networks is checked using the available series from 1962 to 2017.
Keywords
Quality index
Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Scientific Reports due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position 17/71, thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary Sciences.
From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 2.2, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)
Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-24, the following number of citations:
- WoS: 8
- Scopus: 7
- Google Scholar: 14
Impact and social visibility
Leadership analysis of institutional authors
There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (GALEANO PRIETO, JAVIER RICARDO).