Mapping (<scp>USPTO</scp>) patent data using overlays to <scp>G</scp>oogle <scp>M</scp>aps

Leydesdorff, Loet; Bornmann, Lutz

doi:10.1002/asi.22666

Cited by 56 publications

(12 citation statements)

References 69 publications

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“…Indeed, overlay maps soon proved useful for research policy and library management (Rafols et al, 2010), to build interactive overlays (Leydesdorff and Rafols, 2012), to map patent data (Leydesdorff and Bornman, 2012), to gauge interdisciplinarity (Leydesdorff et al, 2013a,b), and to appraise strategic intelligence in emerging technologies (Rotolo et al, 2017).…”

Section: Related Workmentioning

confidence: 99%

Identification and Visualization of the Intellectual Structure in Graphene Research

Vargas-Quesada

Chinchilla‐Rodríguez

Rodríguez

2017

Front. Res. Metr. Anal.

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Since the discovery of the promising properties of graphene, research in the field has attracted numerous grants and sponsors, leading to an exponential rise in the number of papers and applications. This article presents a global map of graphene research and its intellectual structure, drawn using the terms of more than 50,000 documents extracted from Scopus database, years 1998-2015. The unit of analysis consisted of descriptors (including Author Keywords and Indexed Keywords), with the co-occurrence of descriptor as the unit of measure, using fractional counting. The main research lines identified are: Fundamental Research, Functionalization and Biomedical Applications, Technology and Devices, Materials Science, Energy Storage, Optics and Chemical Properties and Sensors. Using overlay maps, we depict the graphene research efforts of the United States, the European Union (Europe-28), and China, and project their evolution through longitudinal maps to facilitate comparison. The United States was initially at the head of world output in graphene research, but was surpassed by China in 2011 and by Europe in 2014, as a result of their respective scientific policies and financial support. The output of China has since been so intense that it can be said to mark graphene research trends. We believe this information may be valuable for the core community involved in this scientific field, as it offers a large-scale analysis showing how research has changed over time. It is therefore also helpful for policy makers and research planners. The resulting maps are a useful and attractive tool for the graphene research community, as they reveal the main lines of exploration at a glance. The methodology described here could be re-created in any other field of science to uncover and display its intellectual structure and evolution over time.

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Section: Related Workmentioning

confidence: 99%

Identification and Visualization of the Intellectual Structure in Graphene Research

Vargas-Quesada

Chinchilla‐Rodríguez

Rodríguez

2017

Front. Res. Metr. Anal.

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“…Building on previous works (e.g. Bornmann and Leydesdorff, 2011;Bornmann and Waltman, 2011;Hu et al, 2012;Leydesdorff and Bornmann, 2012), one can, for example, identify sites for a given emerging technology where highly cited scientific articles were published more frequently than expected. This is depicted in terms of the sizes and colours of nodes.…”

Section: Tracing Emergence In the Geographical Spacementioning

confidence: 99%

“…Methodologically, we rely on previous works some of the authors of this paper have conducted. We specifically build on (i) Leydesdorff and Persson (2010) for mapping co-authorship relations in publications as overlay to Google Maps, (ii) Rafols et al (2010) for mapping publications in terms of Web of Science (WoS) Categories, (iii) Bornmann and Leydesdorff (2011) for the mapping of excellence in publications, (iv) Leydesdorff and Bornmann (2012) for the equivalent mapping of patents, and (v) for mapping medical innovations in terms of Medical Subject Headings (MeSH). 1…”

Section: Emerging Technologies and Overlay Mappingmentioning

confidence: 99%

Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies.

et al. 2014

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How can scientometric mapping function as a tool of 'strategic intelligence' to aid the governance of emerging technologies? The present paper aims to address this question by focusing on a set of recently developed scientometric techniques, namely overlay mapping. We examine the potential these techniques have to inform, in a timely manner, analysts and decision-makers about relevant dynamics of technical emergence. We investigate the capability of overlay mapping in generating informed perspectives about emergence across three spaces: geographical, social, and cognitive. Our analysis relies on three empirical studies of emerging technologies in the biomedical domain: RNA interference (RNAi), Human Papilloma Virus (HPV) testing technologies for cervical cancer, and Thiopurine Methyltransferase (TPMT) genetic testing. The case-studies are analysed and mapped longitudinally by using publication and patent data. Results show the variety of 'intelligence' inputs overlay mapping can produce for the governance of emerging technologies. Overlay mapping also confers to the investigation of emergence flexibility and granularity in terms of adaptability to different sources of data and selection of the levels of the analysis, respectively. These features make possible the integration and comparison of results from different contexts and cases, thus providing possibilities for a potentially more 'distributed' strategic intelligence. The generated perspectives allow triangulation of findings, which is important given the complexity featuring in technical emergence and the limitations associated with the use of single scientometric approaches.

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“…The structural aspects of the Einhoven region favour such a role, whereas this synergy has been absent in Twente . Using patent analysis-perhaps, to be considered as a proxy for commercialization- Leydesdorff and Bornmann (2012), for example, found Enschede only in the top-25 % of Dutch cities, whereas Eindhoven had by far the largest score among the cities in the top-1 %.…”

Section: The Formal Triple Helix Modelmentioning

confidence: 99%

Sociological and Communication-Theoretical Perspectives on the Commercialization of the Sciences

Leydesdorff

2012

Sci & Educ

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Both self-organization and organization are important for the further development of the sciences: the two dynamics condition and enable each other. Commercial and public considerations can interact and ''interpenetrate'' in historical organization; different codes of communication are then ''recombined''. However, self-organization in the symbolically generalized codes of communication can be expected to operate at the global level. The Triple Helix model allows for both a neo-institutional appreciation in terms of historical networks of university-industry-government relations and a neo-evolutionary interpretation in terms of three functions: (1) novelty production, (2) wealth generation, and (3) political control. Using this model, one can appreciate both subdynamics. The mutual information in three dimensions enables us to measure the trade-off between organization and self-organization as a possible synergy. The question of optimization between commercial and public interests in the different sciences can thus be made empirical.

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Mapping (USPTO) patent data using overlays to Google Maps

Cited by 56 publications

References 69 publications

Identification and Visualization of the Intellectual Structure in Graphene Research

Identification and Visualization of the Intellectual Structure in Graphene Research

Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies.

Sociological and Communication-Theoretical Perspectives on the Commercialization of the Sciences

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