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Bibliometrics/Theory, Practice and Problems

Author

Listed:
  • Francis Narin

    (CHI Research, Inc.)

  • Dominic Olivastro

    (CHI Research, Inc.)

  • Kimberly A. Stevens

    (CHI Research, Inc.)

Abstract

This article presents the theory behind modern evaluative bibliometric techniques at three levels. Policy applications, which characterizes the scientific and technological output of nations or regions; strategic analyses, which deals with articles and patents at the level of a university or company; and tactical analyses, which addresses questions concerning a single subject. The article explains the newer techniques that have been developed at each level, as well as the more important limitations.

Suggested Citation

  • Francis Narin & Dominic Olivastro & Kimberly A. Stevens, 1994. "Bibliometrics/Theory, Practice and Problems," Evaluation Review, , vol. 18(1), pages 65-76, February.
    • Handle: RePEc:sae:evarev:v:18:y:1994:i:1:p:65-76
    DOI: 10.1177/0193841X9401800107
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    Citations

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    Cited by:

    1. Szu-chia Lo, 2007. "Patent analysis of genetic engineering research in Japan, Korea and Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 183-200, January.
    2. Luis Obregon & Cristhian Orozco & Josu Camargo & Jorge Duarte & Guillermo Valencia, 2019. "Research trend on Nuclear Energy from 2008 to 2018: A Bibliometric Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 542-551.
    3. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
    4. Xianwen Wang & Xi Zhang & Shenmeng Xu, 2011. "Patent co-citation networks of Fortune 500 companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 761-770, September.
    5. Momeni, Abdolreza & Rost, Katja, 2016. "Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 16-29.
    6. Ronald N. Kostoff & Stephen A. Morse, 2011. "Structure and infrastructure of infectious agent research literature: SARS," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 195-209, January.
    7. Seyedghorban, Zahra & Matanda, Margaret Jekanyika & LaPlaca, Peter, 2016. "Advancing theory and knowledge in the business-to-business branding literature," Journal of Business Research, Elsevier, vol. 69(8), pages 2664-2677.
    8. Lee, Mushin & Son, Byoungho & Om, Kiyong, 1996. "Evaluation of national R&D projects in Korea," Research Policy, Elsevier, vol. 25(5), pages 805-818, August.
    9. Maria Cláudia Cabrini Gracio & Ely Francina Tannuri Oliveira & Júlio Araujo Gurgel & Maria Isabel Escalona & Antonio Pulgarin Guerrero, 2013. "Dentistry scientometric analysis: a comparative study between Brazil and other most productive countries in the area," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 753-769, May.
    10. Jiancheng Guan & Nan Ma, 2009. "Structural equation model with PLS path modeling for an integrated system of publicly funded basic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 683-698, December.
    11. Wang, Qiang & Li, Rongrong & He, Gang, 2018. "Research status of nuclear power: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 90-96.
    12. Smith, K. & Marinova, D., 2005. "Use of bibliometric modelling for policy making," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 177-187.
    13. Andrea Bonaccorsi & Cinzia Daraio, 2003. "Age effects in scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 49-90, September.
    14. Anna Sandström & Ingrid Pettersson & Anna Nilsson, 2000. "Knowledge Production and Knowledge Flows in the Swedish Biotechnology Innovation System," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(2), pages 179-201, September.
    15. de Paulo, Alex Fabianne & Porto, Geciane Silveira, 2017. "Solar energy technologies and open innovation: A study based on bibliometric and social network analysis," Energy Policy, Elsevier, vol. 108(C), pages 228-238.
    16. Diana Lorena Pineda Ospina, 2015. "Análisis bibliométrico para la identificación de factores de innovación en la industria alimenticia," Revista Ad-Minister, Universidad EAFIT, issue 27, pages 95-126, October.

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