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Advanced bibliometric methods to assess research performance and scientific development: basic principles and recent practical applications

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  • Anthony F J van Raan

Abstract

A broad overview is presented of quantitative methods, based on bibliometric data. Specific indicators for important aspects of scientific research can be constructed, the main types being characteristics of scientific output; characteristics of scientific impact; and maps of science. Copyright , Beech Tree Publishing.

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  • Anthony F J van Raan, 1993. "Advanced bibliometric methods to assess research performance and scientific development: basic principles and recent practical applications," Research Evaluation, Oxford University Press, vol. 3(3), pages 151-166, December.
    • Handle: RePEc:oup:rseval:v:3:y:1993:i:3:p:151-166
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    File URL: http://hdl.handle.net/10.1093/rev/3.3.151
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    Citations

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    Cited by:

    1. Cozzens, Susan E., 1997. "The knowledge pool: Measurement challenges in evaluating fundamental research programs," Evaluation and Program Planning, Elsevier, vol. 20(1), pages 77-89, February.
    2. Mario Coccia, 1999. "A Mathematical Model for Performance Evaluation in the R&D Laboratories: Theory and Application in Italy," CERIS Working Paper 199912, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    3. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    4. Moed, H. F. & Hesselink, F. Th., 1996. "The publication output and impact of academic chemistry research in the Netherlands during the 1980s: bibliometric analyses and policy implications," Research Policy, Elsevier, vol. 25(5), pages 819-836, August.
    5. Akshaya Kumar Biswal, 2013. "An Absolute Index (Ab-index) to Measure a Researcher’s Useful Contributions and Productivity," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    6. 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.
    7. V. K. Gupta, 1999. "Technological trends in the area of fullerenes using bibliometric analysis of patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(1), pages 17-31, January.
    8. Carlos Suárez-Balseiro & Elias Sanz-Casado & Laurie Ortiz-Rivera, 2006. "Patterns of international scientific co-operation in Puerto Rico," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 335-350, June.
    9. Marianne Gauffriau & Peder Olesen Larsen & Isabelle Maye & Anne Roulin-Perriard & Markus Ins, 2008. "Comparisons of results of publication counting using different methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 147-176, October.
    10. Salvador Carmona & Isabel Gutierrez & Macario Camara, 1999. "A profile of European accounting research: evidence from leading research journals," European Accounting Review, Taylor & Francis Journals, vol. 8(3), pages 463-480.

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