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Research infrastructures in the LHC era: a scientiometric approach

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Listed:
  • Stefano CARRAZZA
  • Alfio FERRARA
  • Silvia SALINI

Abstract

When a research infrastructure is funded and implemented, a new literature cycle is created. This new information is the measurable output of the discovery process. In this paper, we describe the impact of physics experiments in terms of publications and citations. In particular, we consider the Large Hadron Collider (LHC) experiments (ATLAS, CMS, ALICE, LHCb) and compare them to Large Electron Positron Collider (LEP) experiments (ALEPH, DELPHI, L3, OPAL), Tevatron experiments (CDF, D0). We provide an overview of the scientific output by projects over time and highlight the role played by remarkable project results in the publication-citation distribution trends. The methodological and technical contribution of this work provides a starting point for the development of a theoretical model to determine modern scientific knowledge propagation over time.

Suggested Citation

  • Stefano CARRAZZA & Alfio FERRARA & Silvia SALINI, 2014. "Research infrastructures in the LHC era: a scientiometric approach," Departmental Working Papers 2014-12, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2014-12
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    References listed on IDEAS

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    1. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    2. Emanuele Bacchiocchi & Fabio Montobbio, 2010. "International Knowledge Diffusion and Home‐bias Effect: Do USPTO and EPO Patent Citations Tell the Same Story?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(3), pages 441-470, September.
    3. Martin, Ben R. & Irvine, John, 1984. "CERN: Past performance and future prospects : III. CERN and the future of world high-energy physics," Research Policy, Elsevier, vol. 13(6), pages 311-342, December.
    4. Martin, Ben R. & Irvine, John, 1984. "CERN: Past performance and future prospects : I. CERN's position in world high-energy physics," Research Policy, Elsevier, vol. 13(4), pages 183-210, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Scientometrics; Research infrastructures; Knowledge; Large Hadron Collider;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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