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@article{Shen2021,

title = {Research landscape and hot topics of rooftop PV: A bibliometric and network analysis},

author = {Yuanfei Shen and Ling Ji and Yulei Xie and Guohe Huang and Xin Li and Lucheng Huang},

url = {https://www.sciencedirect.com/science/article/pii/S0378778821006174},

doi = {https://doi.org/10.1016/j.enbuild.2021.111333},

issn = {0378-7788},

year  = {2021},

date = {2021-11-15},

urldate = {2021-11-15},

journal = {Energy and Buildings},

volume = {251},

pages = {111333},

abstract = {Rooftop photovoltaic (PV) system, as part of the renewable energy development strategy to guarantee energy security and reduce greenhouse gas emissions in urban areas, has received a lot of attention during the last decade. To provide an up-to-date and systematic research landscape of the rooftop PV field, this study conducted the bibliometric analysis, collaboration network analysis, co-citation analysis, and hotspots detection based on 595 articles collected from the core collection database of Web of Science. The results showed that the number of publications per year in this field has increased steadily since 2015. The USA was the most important contributor in this research field in terms of quantity (number of publications) and impact (number of citations). The co-authorship communities were obtained by collaboration network analysis, and the international collaboration is expected to be further strengthened according to the research focuses of each community. The key knowledge base and the main hot topics of the rooftop PV research field were identified from co-citation analysis and keywords co-occurrence network. Furthermore, based on the literature review, a detailed analysis of the main topics was provided for a better understanding of the current research trends and opportunities. This study can be served as a strategic review of the rooftop PV field to help relevant researchers carry out in-depth research in the future.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Fabo2019,

title = {Mapping the Bentham Corpus: Concept-based Navigation},

author = {Pablo Ruiz and Thierry Poibeau },

url = {https://hal.archives-ouvertes.fr/hal-01915730v2},

year  = {2019},

date = {2019-03-06},

journal = {Journal of data mining and digital humanities },

abstract = {British philosopher and reformer Jeremy Bentham (1748-1832) left over 60,000 folios of unpublished manuscripts. The Bentham Project, at University College London, is creating a TEI version of the manuscripts, via crowdsourced transcription verified by experts. We present here an interface to navigate these largely unedited manuscripts, and the language technologies the corpus was enriched with to facilitate navigation, i.e Entity Linking against the DBpedia knowledge base and keyphrase extraction. The challenges of tagging a historical domain-specific corpus with a contemporary knowledge base are discussed. The concepts extracted were used to create interactive co-occurrence networks, that serve as a map for the corpus and help navigate it, along with a search index. These corpus representations were integrated in a user interface. The interface was evaluated by domain experts with satisfactory results , e.g. they found the distributional semantics methods exploited here applicable in order to assist in retrieving related passages for scholarly editing of the corpus. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{leydesdorff2014interdisciplinarity,

title = {Interdisciplinarity at the journal and specialty level: The changing knowledge bases of the journal Cognitive Science},

author = {Loet Leydesdorff and Robert L Goldstone},

url = {http://dx.doi.org/10.1002/asi.22953},

year  = {2014},

date = {2014-01-01},

journal = {Journal of the Association for Information Science and Technology},

volume = {65},

number = {1},

pages = {164-177},

publisher = {Wiley Online Library},

abstract = {Using the referencing patterns in articles in Cognitive Science over three decades, we analyze the knowledge base of this literature in terms of its changing disciplinary composition. Three periods are distinguished: (A) construction of the interdisciplinary space in the 1980s, (B) development of an interdisciplinary orientation in the 1990s, and (C) reintegration into “cognitive psychology” in the 2000s. The fluidity and fuzziness of the interdisciplinary delineations in the different visualizations can be reduced and clarified using factor analysis. We also explore newly available routines (“CorText”) to analyze this development in terms of “tubes” using an alluvial map and compare the results with an animation (using “Visone”). The historical specificity of this development can be compared with the development of “artificial intelligence” into an integrated specialty during this same period. Interdisciplinarity should be defined differently at the level of journals and of specialties.},

note = {https://doi.org/10.1002/asi.22953},

keywords = {},

pubstate = {published},

tppubtype = {article}

}