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Christopher L Magee

Datos Biográficos

ID119892
NOMBREChristopher L Magee
NOMBRESChristopher L
APELLIDOMagee
FIRMAMAGEE C L
AFILIACIONESEngineering Systems (United States)
ORCID0000-0001-5316-8358
VERIFICADOSí
TOTAL DE OBRAS6
TOTAL DE CITAS0
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2007
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Quantifying the progress of artificial intelligence subdomains using the patent citation network

    Open Access•Reza Rezazadegan, Mahdi Sharifzadeh et al.•ARTICLE•Scientometrics•2024

  • Tracing the emergence of new technology

    Open Access•Inchae Park, Giorgio Triulzi et al.•ARTICLE•Technological Forecasting and…•2022

  • Estimating technology performance improvement rates by mining patent data

    Open Access•Giorgio Triulzi, Jeff Alstott et al.•ARTICLE•Technological Forecasting and…•2020

    The future direction of technology development depends on the relative yearly rate of functional performance improvement of different technologies. We use patent data to identify accurate and reliable predictors of this rate for 30 technologies. We illustrate how patent-based predictors should be normalized to correct for possible confounding factors introduced by changing patenting dynamics. We test the accuracy and reliability of various predic…

  • Technology-based design and sustainable economic growth

    Open Access•Jianxi Luo, Alison Olechowski et al.•ARTICLE•Technovation•2014

  • A new method for finding hierarchical subgroups from networks

    Open Access•Mo-Han Hsieh, Christopher L Magee•ARTICLE•Social Networks•2010

  • An algorithm and metric for network decomposition from similarity matrices

    Open Access•Mo-Han Hsieh, Christopher L Magee•ARTICLE•Social Networks•2007

Sin obras prominentes en esta página.

  • An algorithm and metric for network decomposition from similarity matrices

    Open Access•Mo-Han Hsieh, Christopher L Magee•ARTICLE•Social Networks•2007

  • A new method for finding hierarchical subgroups from networks

    Open Access•Mo-Han Hsieh, Christopher L Magee•ARTICLE•Social Networks•2010

  • Technology-based design and sustainable economic growth

    Open Access•Jianxi Luo, Alison Olechowski et al.•ARTICLE•Technovation•2014

  • Estimating technology performance improvement rates by mining patent data

    Open Access•Giorgio Triulzi, Jeff Alstott et al.•ARTICLE•Technological Forecasting and…•2020

    The future direction of technology development depends on the relative yearly rate of functional performance improvement of different technologies. We use patent data to identify accurate and reliable predictors of this rate for 30 technologies. We illustrate how patent-based predictors should be normalized to correct for possible confounding factors introduced by changing patenting dynamics. We test the accuracy and reliability of various predic…

  • Tracing the emergence of new technology

    Open Access•Inchae Park, Giorgio Triulzi et al.•ARTICLE•Technological Forecasting and…•2022

  • Quantifying the progress of artificial intelligence subdomains using the patent citation network

    Open Access•Reza Rezazadegan, Mahdi Sharifzadeh et al.•ARTICLE•Scientometrics•2024

Computer Science (6 obras) · Artificial Intelligence (4 obras) · Mathematics (4 obras) · Data science (3 obras) · Innovation and Knowledge Management (3 obras) · Intellectual Property and Patents (3 obras) · Artificial Intelligence (2 obras) · Business (2 obras) · Centrality (2 obras) · Complex Network Analysis Techniques (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae