2014
DOI: 10.1016/j.respol.2014.02.005
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Identifying emerging topics in science and technology

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Cited by 313 publications
(226 citation statements)
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References 35 publications
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“…Specific research areas include text analytics, knowledge discovery, big data, social network analysis, natural language processing, forecasting, and machine learning. According to [Smalla et al, 2014] the programme has a clear link with competitive technical intelligence. The techniques referenced and the automated analysis intent fall within the domain of business analytics but the intent is to create foresight-based conclusions.…”
Section: The Combined Approachmentioning
confidence: 99%
“…Specific research areas include text analytics, knowledge discovery, big data, social network analysis, natural language processing, forecasting, and machine learning. According to [Smalla et al, 2014] the programme has a clear link with competitive technical intelligence. The techniques referenced and the automated analysis intent fall within the domain of business analytics but the intent is to create foresight-based conclusions.…”
Section: The Combined Approachmentioning
confidence: 99%
“…Within the framework of carbonbased materials, however, this 2-D material suddenly aroused the attention of scientists (Lv et al, 2011). With the experimental discovery of graphene by Novoselov et al (2004), a rapidly growing stream of scientific literature became fertile land for bibliometric studies: Barth and Marx (2008), Wan and Pan (2010), Shapira et al (2010), Lv et al (2011), Munoz-Sandoval (2014), Small et al (2014), Terekhov (2015), Klincewicz (2016), and Shapira et al (2016).…”
mentioning
confidence: 99%
“…The reviewed methodologies rely on different models, data, thresholds, clustering algorithms and parameters, the selection of which may bias the detection of emergence towards certain patterns. Small et al (2014), for example, found that topics identified as emerging by the combined 'direct citation-co-citation' approach are in areas that are more likely to offer practical outcomes than non-emerging topics. This may suggest that such areas attract more resources, which, in turn, may favour the recruitment of researchers ).…”
Section: Discussionmentioning
confidence: 99%