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Time series of scientific growth in Spanish doctoral theses (1848–2009)

Author

Listed:
  • Antonio Fernández-Cano

    (University of Granada)

  • Manuel Torralbo

    (University of Córdoba)

  • Mónica Vallejo

    (University of Murcia)

Abstract

This article analyses scientific growth time series using data for Spanish doctoral theses from 1848 to 2009, retrieved from national databases and an in-depth archive search. Data are classified into subseries by historical periods. The analytical techniques employed range from visual analysis of deterministic graphs to curve-fitting with exponential smoothing and AutoRegressive Integrated Moving Average models. Forecasts are made using the best model. The main finding is that Spanish output of doctoral theses appears to fit a quasi-logistic growth model in line with Price’s predictions. An additional control variable termed year-on-year General Welfare is shown to modulate scientific growth, especially in the historical period from 1899 to 1939.

Suggested Citation

  • Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2012. "Time series of scientific growth in Spanish doctoral theses (1848–2009)," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 15-36, April.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:1:d:10.1007_s11192-011-0572-x
    DOI: 10.1007/s11192-011-0572-x
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    1. Yu-Chun Chen & Hsiao-Yun Yeh & Jau-Ching Wu & Ingo Haschler & Tzeng-Ji Chen & Thomas Wetter, 2011. "Taiwan’s National Health Insurance Research Database: administrative health care database as study object in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 365-380, February.
    2. Robert D. Shelton, 2008. "Relations between national research investment and publication output: Application to an American Paradox," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 191-205, February.
    3. Leitner, Johannes & Leopold-Wildburger, Ulrike, 2011. "Experiments on forecasting behavior with several sources of information - A review of the literature," European Journal of Operational Research, Elsevier, vol. 213(3), pages 459-469, September.
    4. Loet Leydesdorff & Ping Zhou, 2005. "Are the contributions of China and Korea upsetting the world system of science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(3), pages 617-630, June.
    5. Jens Peter Andersen & Björn Hammarfelt, 2011. "Price revisited: on the growth of dissertations in eight research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 371-383, August.
    6. Carmen Osuna & Laura Cruz-Castro & Luis Sanz-Menéndez, 2011. "Overturning some assumptions about the effects of evaluation systems on publication performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 575-592, March.
    7. Can Huang & Celeste Amorim Varum & Joaquim Borges Gouveia, 2006. "Scientific productivity paradox: The case of China's S&T system," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 449-473, November.
    8. A. Fernández-Cano & A. Bueno, 1999. "Synthesizing scientometric paterns in Spanish educational research," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(2), pages 349-367, October.
    9. Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2004. "Reconsidering Price's model of scientific growth: An overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 301-321, November.
    10. Andrea Bonaccorsi & Cinzia Daraio & Léopold Simar, 2006. "Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 389-410, February.
    11. Liming Liang & Junwan Liu & Ronald Rousseau, 2004. "Name order patterns of graduate candidates and supervisors in Chinese publications: A case study of three major Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 3-18, September.
    12. Ulrich Schmoch & Torben Schubert & Dorothea Jansen & Richard Heidler & Regina von Görtz, 2010. "How to use indicators to measure scientific performance: a balanced approach," Research Evaluation, Oxford University Press, vol. 19(1), pages 2-18, March.
    13. Vasileiadou, Eleftheria, 2009. "Stabilisation operationalised: Using time series analysis to understand the dynamics of research collaboration," Journal of Informetrics, Elsevier, vol. 3(1), pages 36-48.
    14. Marek Szydlowski & Adam Krawiec, 2001. "Scientific cycle model with delay," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(1), pages 83-95, September.
    15. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
    16. Seema Sharma & V. J. Thomas, 2008. "Inter-country R&D efficiency analysis: An application of data envelopment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 483-501, September.
    17. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    18. Yuen-Hsien Tseng & Yu-I Lin & Yi-Yang Lee & Wen-Chi Hung & Chun-Hsiang Lee, 2009. "A comparison of methods for detecting hot topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 73-90, October.
    19. Marek Szydłowski & Adam Krawiec, 2009. "Growth cycles of knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 99-111, January.
    20. Jiancheng Guan & Kaihua Chen, 2010. "Modeling macro-R&D production frontier performance: an application to Chinese province-level R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 165-173, January.
    21. Chung-Souk Han & Su Kyung Lee & Mark England, 2010. "Transition to postmodern science—related scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 391-401, August.
    22. Vincent Larivière & Alesia Zuccala & Éric Archambault, 2008. "The declining scientific impact of theses: Implications for electronic thesis and dissertation repositories and graduate studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 109-121, January.
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    1. Norma Salgado-Orellana & Emilio Berrocal de-Luna & Calixto Gutiérrez-Braojos, 2021. "A scientometric study of doctoral theses on the Roma in the Iberian Peninsula during the 1977–2018 period," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 437-458, January.
    2. Rodrigo Sánchez-Jiménez & Iuliana Botezan & Jesús Barrasa-Rodríguez & Mari Carmen Suárez-Figueroa & Manuel Blázquez-Ochando, 2023. "Gender imbalance in doctoral education: an analysis of the Spanish university system (1977–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2577-2599, April.
    3. Francisco Javier Ramos-Pardo & Pablo Sánchez-Antolín, 2017. "Production of educational theory doctoral theses in Spain (2001–2015)," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1615-1630, September.
    4. Iñaki Bildosola & Gaizka Garechana & Enara Zarrabeitia & Ernesto Cilleruelo, 2020. "Characterization of strategic emerging technologies: the case of big data," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 45-60, March.

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