Creating an academic landscape of sustainability science

An analysis of the citation network

Bibliographic Data

ID12950801
AuthorsYuya Kajikawa (0000-0003-3577-5167, The University of Tokyo, corresponding author), Junko Ohno (The University of Tokyo), Yoshiyuki Takeda (The University of Tokyo), Katsumori Matsushima (The University of Tokyo), Hiroshi Komiyama (The University of Tokyo)
Year2007
Volume2
Issue2
Publication date2007-07-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainability Science (JOURNAL)
Journal identifiersISSN: 1862-4057 • E-ISSN: 1862-4065
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11625-007-0027-8
OpenAlexW2021379602
LanguageEN
Citations received56
References cited29

Sustainability is an important concept for society, economics, and the environment, with thousands of research papers published on the subject annually. As sustainability science becomes a distinctive research field, it is important to define sustainability clearly and grasp the entire structure, current status, and future directions of sustainability science. This paper provides an academic landscape of sustainability science by analyzing the citation network of papers published in academic journals. A topological clustering method is used to detect the sub-domains of sustainability science. Results show the existence of 15 main research clusters: Agriculture, Fisheries, Ecological Economics, Forestry (agroforestry), Forestry (tropical rain forest), Business, Tourism, Water, Forestry (biodiversity), Urban Planning, Rural Sociology, Energy, Health, Soil, and Wildlife. Agriculture, Fisheries, Ecological Economics, and Forestry (agroforestry) clusters are predominant among these. The Energy cluster is currently developing, as indicated by the age of papers in the cluster, although it has a relatively small number of papers. These results are compared with those obtained by natural language processing. Education, Biotechnology, Medical, Livestock, Climate Change, Welfare, and Livelihood clusters are uniquely extracted by natural language processing, because they are common topics across clusters in the citation network

Agriculture · Citation · Economics · Environmental resource management · Geography · Landscape ecology · Livelihood · Political science · Sustainability · Sustainability organizations · Sustainability science · Complex Network Analysis Techniques · Energy, Environment, Economic Growth · Environmental Education and Sustainability · Ecology

Tools

Open DOISci-HubOpen Access