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“Singling out individual inventors from patent data”. (2011). Miguelez, Ernest ; Gomez-Miguelez, Ismael .
In: IREA Working Papers.
RePEc:ira:wpaper:201105.

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  1. Seeing the non-stars: (Some) sources of bias in past disambiguation approaches and a new public tool leveraging labeled records. (2015). Ventura, Samuel L ; Rica, E ; Nugent, Rebecca .
    In: Research Policy.
    RePEc:eee:respol:v:44:y:2015:i:9:p:1672-1701.

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References

References cited by this document

  1. Agrawal A, Cockburn I, McHale J (2006) Gone but not forgotten: labour flows, knowledge spillovers, and enduring social capital. Journal of Economic Geography 6: 571-591.

  2. Bottazzi L. and Peri G. (2003) Innovation and spillovers in regions: Evidence from European patent data, European Economic Review 47, 687 710.

  3. Branting LK (2003) A comparative evaluation of name-matching algorithms, International Conference on Artificial Intelligence and Law.
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  4. Carayol N., Cassi L. (2009) Who's Who in Patents. A Bayesian approach, Cahiers du GREThA 2009 07, Groupe de Recherche en Economie Théorique et Appliquée Université Bordeaux 4, Bordeaux.

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  8. Institut de Recerca en Economia Aplicada Regional i Pública Document de Treball 2011/05 pàg. 29 Research Institute of Applied Economics Working Paper 2011/05 pag. 29 Lissoni F, Sanditov B, Tarasconi G (2006) The Keins database on academic inventors: methodology and contents CESPRI Working Paper, 181.
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  9. Institut de Recerca en Economia Aplicada Regional i Pública Document de Treball 2011/05 pàg. 30 Research Institute of Applied Economics Working Paper 2011/05 pag. 30
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  10. Kim J, Lee SJ, Marschke G (2006) International knowledge flows: Evidence from an inventor-firm matched dataset. NBER Working Paper 12692.

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  13. Maraut S, Dernis H, Webb C, Spiezia V, Guellec D (2008) The OECD REGPAT Database: A presentation STI Working Paper 2008/2.

  14. Raffo J, Lhuillery S (2009) How to play the Names Game: Patent retrieval comparing different heuristics, Research Policy, In Press: doi:10.1016/j.respol.2009.08.001.

  15. Snae C (2007) A comparison and analysis of name matching algorithms. Proceedings of World Academy of Science, Engineering and Technology 21: 252-257.
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  16. Thoma G. and Torrisi S. (2007), Creating Powerful Indicators for Innovation Studies with Approximate Matching Algorithms. A test based on PATSTAT and Amadeus databases.

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Cocites

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  4. How do geographically mobile innovators influence network formation?. (2012). Miguelez, Ernest.
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  5. The Diffusion of Scientific Knowledge Across Time and Space: Evidence from Professional Transitions for the Superstars of Medicine. (2011). Graff Zivin, Joshua ; Sampat, Bhaven N. ; Azoulay, Pierre ; Joshua S. Graff Zivin, .
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  6. The Diffusion of Scientific Knowledge across Time and Space: Evidence from Professional Transitions for the Superstars of Medicine. (2011). Sampat, Bhaven N. ; Azoulay, Pierre ; Joshua S. Graff Zivin, .
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  7. “Singling out individual inventors from patent data”. (2011). Miguelez, Ernest ; Gomez-Miguelez, Ismael .
    In: IREA Working Papers.
    RePEc:ira:wpaper:201105.

    Full description at Econpapers || Download paper

  8. Value of invention, prolific inventor productivity and mobility: evidence from five countries, 1975-2002. (2011). Latham, William ; Lebas, Christian ; Volodin, Dmitry ; le Bas, Christian.
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  9. Value of invention, prolific inventor productivity and mobility : evidence from five countries, 1975-2002. (2011). Latham, William ; Lebas, Christian ; Volodin, Dmitry ; le Bas, Christian.
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  14. Inventor Mobility and Knowledge Transmission in Nanotechnology. (2010). Marschke, Gerald ; Kim, Jinyoung ; Lee, SangjoonJohn .
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  15. Impact of University Scientists on Innovations in Nanotechnology. (2010). Marschke, Gerald ; Kim, Jinyoung ; Lee, SangjoonJohn .
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  17. Geographic localisation of knowledge spillovers: evidence from high-tech patent citations in Europe. (2009). Scherngell, Thomas ; Fischer, Manfred ; Jansenberger, Eva .
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  23. Does mobility increase the productivity of inventors?. (2009). Hoisl, Karin.
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