Prediction of emerging technologies based on analysis of the US patent citation network

Érdi, Péter; Makovi, Kinga; Somogyvári, Zoltán; Strandburg, Katherine J.; Tobochnik, Jan; Volf, Péter; Zalányi, László

doi:10.1007/s11192-012-0796-4

Cited by 205 publications

(77 citation statements)

References 63 publications

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“…Recently, investigations of patenting activities specified the current status, discovered the technological position, determined technical landmarks and forecast technology development tendency in a sector, technology domain or company, which had proved effective in previous studies. [7][8][9][10][11][12] Our study aims to identify patent activities relevant to DCs, to capture a profile of technologies related to DCs and further provide researchers, policy-makers and investors with data for making sound decisions. Facilitating R&D of DC-related products and therapeutic tactics is important.…”

Section: Introductionmentioning

confidence: 99%

Dendritic-cell-based technology landscape: Insights from patents and citation networks

Kong

Cai

et al. 2015

Human Vaccines & Immunotherapeutics

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Section: Introductionmentioning

confidence: 99%

Dendritic-cell-based technology landscape: Insights from patents and citation networks

Kong

Cai

et al. 2015

Human Vaccines & Immunotherapeutics

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“…10 We regress the knowledge space centrality measure of each patent on its PageRank and Alpha centrality scores as well as its inward citations, controlling for important patent characteristics that may influence the number 9 Erdi et al (2013) propose an alternative similarity indicator based on a distance measure obtained from an inward citation vector for each patent across 36 technological subcategories. This measure is less granular and focuses on "long jumps" in the knowledge space, whereas the indicator used here is able to capture also local recombinant developments.…”

Section: Pagerank and The Clustering In Knowledge Spacementioning

confidence: 99%

Using PageRank in the analysis of technological progress through patents: an illustration for biotechnological inventions

Reinstaller

Reschenhofer

2017

Scientometrics

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This paper examines whether PageRank algorithms are a valid instrument for the analysis of technical progress in specific technological fields by means of patent citation data. It provides evidence for patent data in biotechnology. Recent literature has been critical with regard to the use of PageRank for the analysis of scientific citation networks. The results reported in this paper indicate, however, that with some minor adaptations and careful interpretation of the results the algorithm can be used to capture some important stylised facts of technical progress and the importance of single patents relatively well especially if compared to indicators based on direct inward citations only. The results reported in this paper indicate, however, that with some minor adaptations and careful interpretation of the results the algorithm can be used to capture some important stylised facts of technical progress and the importance of single patents relatively well especially if compared to indicators based on direct inward citations only.

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“…In addition, some papers have focused on antibiotic advances through analyses of patent claims due to the important role of patents in innovations [22][23][24]. However, few studies to date have comprehensively analyzed the R&D of antibiotics from not only scientific but commercial angles, with reference to patents and citation networks, which have been successfully used to investigate the technology landscape and flows in other technological fields [25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Research and development of antibiotics: insights from patents and citation network

Zhang

Kong

Zheng

et al. 2016

Expert Opinion on Therapeutic Patents

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The current dry pipeline of antibiotic development requires substantial awareness and political support. It is essential to build an attractive and supportive environment for investment. Thus, a new antibiotic business model is needed to chase the balance between the market-oriented investment and public health goals. Additionally, drug development targeting Gram-negative bacteria, especially resistant Gram-negative bacteria, demands attentions from stakeholders because of their unmet medical needs.

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Prediction of emerging technologies based on analysis of the US patent citation network

Cited by 205 publications

References 63 publications

Dendritic-cell-based technology landscape: Insights from patents and citation networks

Dendritic-cell-based technology landscape: Insights from patents and citation networks

Using PageRank in the analysis of technological progress through patents: an illustration for biotechnological inventions

Research and development of antibiotics: insights from patents and citation network

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