- -

Interactive Overlay Maps for US Patent (USPTO) Data Based on International Patent Classifications (IPC)

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Interactive Overlay Maps for US Patent (USPTO) Data Based on International Patent Classifications (IPC)

Mostrar el registro completo del ítem

Leydesdorff, L.; Kushnir, D.; Rafols García, I. (2014). Interactive Overlay Maps for US Patent (USPTO) Data Based on International Patent Classifications (IPC). Scientometrics. 98(3):1583-1599. https://doi.org/10.1007/s11192-012-0923-2

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/86315

Ficheros en el ítem

Metadatos del ítem

Título: Interactive Overlay Maps for US Patent (USPTO) Data Based on International Patent Classifications (IPC)
Autor: Leydesdorff, L. Kushnir, Duncan Rafols García, Ismael
Entidad UPV: Universitat Politècnica de València. Instituto de Gestión de la Innovación y del Conocimiento - Institut de Gestió de la Innovació i del Coneixement
Fecha difusión:
Resumen:
[EN] We report on the development of an interface to the US Patent and Trademark Office (USPTO) that allows for the mapping of patent portfolios as overlays to basemaps constructed from citation relations among all patents ...[+]
Palabras clave: Map , USPTO , IPC , Patent , Classification , Overlay
Derechos de uso: Reserva de todos los derechos
Fuente:
Scientometrics. (issn: 0138-9130 ) (eissn: 1588-2861 )
DOI: 10.1007/s11192-012-0923-2
Editorial:
Springer
Versión del editor: http://doi.org/10.1007/s11192-012-0923-2
Código del Proyecto:
info:eu-repo/grantAgreement/ESRC//RES-360-25-0076/GB/Mapping the Dynamics of Emergent Technologies/
Agradecimientos:
We acknowledge support by the ESRC project 'Mapping the Dynamics of Emergent Technologies' (RES-360-25-0076). We are grateful to Nils Newman and Antoine Schoen for previous comments and communications.
Tipo: Artículo

References

Ahlgren, P., Jarneving, B., & Rousseau, R. (2003). Requirements for a cocitation similarity measure, with special reference to Pearson’s correlation coefficient. Journal of the American Society for Information Science and Technology, 54(6), 550–560.

Alcácer, J., Gittelman, M., & Sampat, B. (2009). Applicant and examiner citations in U.S. patents: an overview and analysis. Research Policy, 38(2), 415–427.

Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 8(10), 10008. [+]
Ahlgren, P., Jarneving, B., & Rousseau, R. (2003). Requirements for a cocitation similarity measure, with special reference to Pearson’s correlation coefficient. Journal of the American Society for Information Science and Technology, 54(6), 550–560.

Alcácer, J., Gittelman, M., & Sampat, B. (2009). Applicant and examiner citations in U.S. patents: an overview and analysis. Research Policy, 38(2), 415–427.

Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 8(10), 10008.

Bornmann, L., & Leydesdorff, L. (2011). Which cities produce excellent papers worldwide more than can be expected? A new mapping approach–using Google Maps–based on statistical significance testing. Journal of the American Society for Information Science and Technology, 62(10), 1954–1962.

Boyack, K. W., Börner, K., & Klavans, R. (2009). Mapping the structure and evolution of chemistry research. Scientometrics, 79(1), 45–60.

Boyack, K. W., & Klavans, R. (2008). Measuring science–technology interaction using rare inventor–author names. Journal of Informetrics, 2(3), 173–182.

Breschi, S., Lissoni, F., & Malerba, F. (2003). Knowledge-relatedness in firm technological diversification. Research Policy, 32(1), 69–87.

Criscuolo, P. (2006). The ‘home advantage’ effect and patent families: a comparison of OECD triadic patents, the USTPTO and EPO. Scientometrics, 66(1), 23–41.

Criscuolo, P., & Verspagen, B. (2008). Does it matter where patent citations come from? Inventor versus examiner citations in European patents. Research Policy, 37(10), 1892–1908.

de Nooy, W., Mrvar, A., & Batgelj, V. (2011). Exploratory Social Network Analysis with Pajek (2nd ed.). New York: Cambridge University Press.

Dolfsma, W., & Leydesdorff, L. (2011). Innovation systems as patent networks: the Netherlands, India and nanotech. Innovation Management, Policy and Practice, 13(3), 311–326.

Griliches, Z. (Ed.). (1984). R&D, Patents, and Productivity. Chicago, IL: University of Chicago Press.

Griliches, Z. (1994). Productivity, R&D and the Data constraint. American Economic Review, 84(1), 1–23.

Helbing, D., & Balietti, S. (2011). How to create an innovation accelerator. The European Physical Journal-Special Topics, 195(1), 101–136.

Henderson, R., Jaffe, A., & Trajtenberg, M. (2005). Patent citations and the geography of knowledge spillovers: a reassessment—comment. The American Economic Review, 95(1), 461–464.

Hinze, S., Reiss, T., & Schmoch, U. (1997). Statistical Analysis on the Distance Between Fields of Technology. Innovation Systems and European Integration (ISE), Targeted Socio-Economic Research Program, 4th Framework Program of the European Commission (DG XII). Karlsruhe: Fraunhofer Institute for Systems and Innovation Research (ISI).

Izsák, J., & Papp, L. (1995). Application of the quadratic entropy indices for diversity studies of drosophilid assemblages. Environmental and Ecological Statistics, 2(3), 213–224.

Jaffe, A. B. (1986). Technological Opportunity and Spillovers of R&D: evidence from Firm’s Patents, Profits, and Market Value. American Economic Review, 76(5), 984–1001.

Jaffe, A. B. (1989). Real effects of academic research. The American Economic Review, 957–970.

Jaffe, A. B., & Trajtenberg, M. (2002). Patents, Citations, and Innovations: A Window on the Knowledge Economy. Cambridge: MIT Press.

Kamada, T., & Kawai, S. (1989). An algorithm for drawing general undirected graphs. Information Processing Letters, 31(1), 7–15.

Kay, L., Newman, N., Youtie, J., Porter, A. L., & Rafols, I. (2012). Patent Overlay Mapping: Visualizing Technological Distance. Arxiv preprint arXiv:1208.4380.

Klavans, R., & Boyack, K. (2009). Towards a consensus map of science. Journal of the American Society for Information Science and Technology, 60(3), 455–476.

Kline, S., & Rosenberg, N. (1986). An overview of innovation. In R. Landau & N. Rosenberg (Eds.), The Positive Sum Strategy: Harnessing Technology for Economic Growth (pp. 275–306). Washington, DC: National Academy Press.

Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1), 1–27.

Leydesdorff, L. (2004). The university-industry knowledge relationship: analyzing patents and the science base of technologies. Journal of the American Society for Information Science and Technology, 55(11), 991–1001.

Leydesdorff, L. (2008). Patent classifications as indicators of intellectual organization. Journal of the American Society for Information Science and Technology, 59(10), 1582–1597.

Leydesdorff, L., & Bornmann, L. (2012). Mapping (USPTO) patent data using overlays to Google Maps. Journal of the American Society for Information Science and Technology, 63(7), 1442–1458.

Leydesdorff, L., Hammarfelt, B., & Salah, A. A. A. (2011). The structure of the arts and humanities citation index: a mapping on the basis of aggregated citations among 1,157 journals. Journal of the American Society for Information Science and Technology, 62(12), 2414–2426.

Leydesdorff, L., & Meyer, M. (2010). The Decline of University Patenting and the End of the Bayh-Dole Effect. Scientometrics, 83(2), 355–362.

Leydesdorff, L., & Opthof, T. (2012). Citation analysis with medical subject headings (MeSH) using the web of knowledge: a new routine. Journal of the American Society for Information Science and Technology (in press).

Leydesdorff, L., & Persson, O. (2010). Mapping the geography of science: distribution patterns and networks of relations among cities and institutes. Journal of the American Society of Information Science and Technology, 61(8), 1622–1634.

Leydesdorff, L., & Rafols, I. (2011a). Indicators of the interdisciplinarity of journals: diversity, centrality, and citations. Journal of Informetrics, 5(1), 87–100.

Leydesdorff, L., & Rafols, I. (2011b). How do emerging technologies conquer the world? an exploration of patterns of diffusion and network formation. Journal of the American Society for Information Science and Technology, 62(5), 846–860.

Leydesdorff, L., & Rafols, I. (2012). Interactive overlays: a new method for generating global journal maps from web-of-science data. Journal of Informetrics, 6(3), 318–332.

Leydesdorff, L., Rotolo, D., & de Nooy, W. (in press). Innovation as a nonlinear process, the scientometric perspective, and the specification of an “innovation opportunities explorer”. Technology Analysis and Strategic Management. http://arxiv.org/abs/1202.6235 .

Leydesdorff, L., Rotolo, D., & Rafols, I. (2012). Bibliometric perspectives on medical innovation using the medical subject headings (MeSH) of PubMed. Journal of the American Society for Information Science and Technology, 63(11), 2239–2253.

Narin, F. (2012). Tracing the Paths from Basic Research to Economic Impact. F&M Scientist (under submission).

Narin, F., Hamilton, K. S., & Olivastro, D. (1997). The increasing link between US technology and public science. Research Policy, 26(3), 317–330.

Newman, M. E. J. (2004). Fast algorithm for detecting community structure in networks. Physical Review E, 69(6), 066133.

Patel, P., & Pavitt, K. (1997). The technological competencies of the world’s largest firms: complex and path-dependent, but not much variety. Research Policy, 26(2), 141–156.

Price, D. J. S. (1984). The science/technology relationship, the craft of experimental science, and policy for the improvement of high technology innovation. Research Policy, 13, 3–20.

Rafols, I., Leydesdorff, L., O’Hare, A., Nightingale, P., & Stirling, A. (2012). How journal rankings can suppress interdisciplinary research: a comparison between innovation studies and business and management. Research Policy, 41(7), 1262–1282.

Rafols, I., & Meyer, M. (2010). Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics, 82(2), 263–287.

Rafols, I., Porter, A., & Leydesdorff, L. (2010). Science overlay maps: a new tool for research policy and library management. Journal of the American Society for Information Science and Technology, 61(9), 1871–1887.

Rao, C. R. (1982). Diversity: Its measurement, decomposition, apportionment and analysis. Sankhy : The Indian Journal of Statistics, Series A, 44(1), 1–22.

Rosenberg, N., & Nelson, R. R. (1994). American universities and technical advance in industry. Research Policy, 23, 323–348.

Schmoch, U., Laville, F., Patel, P., & Frietsch, R. (2003). Linking technology areas to industrial sectors. Final Report to the European Commission, DG Research. ftp://ftp.cordis.europa.eu/pub/indicators/docs/ind_report_isi_ost_spru.pdf .

Schoen, A. (2011). A Global Map of Technology. Paper presented at the IPTS Patent Workshop, Seville, Spain, June 13–14.

Schoen, A., Villard, L., Laurens, P., Cointet, J.-P., Heimeriks, G., & Alkemade, F. (2012). The Network Structure of Technological Developments; Technological Distance as a Walk on the Technology Map. Paper presented at the Science & Technology Inidicators (STI) 2012 Montreal.

Shelton, R. D., & Leydesdorff, L. (2012). Publish or Patent: bibliometric evidence for empirical trade-offs in national funding strategies. Journal of the American Society for Information Science and Technology, 63(3), 498–511.

Stirling, A. (2007). A general framework for analysing diversity in science, technology and society. Journal of the Royal Society, Interface, 4(15), 707–719.

Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.

van Eck, N. J., Waltman, L., Dekker, R., & van den Berg, J. (2010). A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology, 61(12), 2405–2416.

Von Hippel, E. (1988). The Sources of Innovation. New York/Oxford: Oxford University Press.

Waltman, L., van Eck, N. J., & Noyons, E. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635.

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem