Sustainability science is, per se, a topic that is inherently interdisciplinarity and oriented towards the resolution of societal problems. In this paper, we propose a classification of scientific journals that composes the journal category “Green and Sustainable Science and Technology” in the period 2014–2018 through the entropy-based disciplinarity indicator (EBDI). This indicator allows the classification of scientific journals in four types based on the citing and cited dimensions: knowledge importer, knowledge exporter, disciplinary and interdisciplinarity. Moreover, the relationship between this taxonomy and the JCR bibliometric indicators and its predictive capacity of the taxonomy is explored through a CHAID tree. As well, relations between the Web of Science categories, journals and taxonomy are explored by the co-occurrence of categories and correspondence analysis. Results suggest that the great majority of journals in this field are specialized or interdisciplinary. However, over the 5-year period proposed in this study, interdisciplinary journals tend to be far more stable than specialized ones. The decision tree has shown that the number of citations is the variable with the greatest discriminating capacity.

本质上，可持续性科学是一个固有的跨学科主题，旨在解决社会问题。在本文中，我们提出了一种科学期刊分类，通过基于熵的学科指标（EBDI）将其分类为2014-2018年的“绿色与可持续科学与技术”期刊类别。该指标允许根据引用和引用的维度将科学期刊分类为四种类型：知识导入者，知识导出者，学科和跨学科性。此外，通过CHAID树探索了该分类法与JCR文献计量指标及其对分类法的预测能力之间的关系。同样，“ Web of Science”类别之间的关系 通过类别和对应分析的共现来探索期刊和分类学。结果表明，该领域的绝大部分期刊是专业的或跨学科的。但是，在本研究建议的5年期间，跨学科期刊往往比专业期刊要稳定得多。决策树表明，引用次数是具有最大区分能力的变量。