A Comprehensive Comparison of Educational Growth within Four Different Developing Countries between 1990 and 2012 Other Languages
required to achieve sustainable development. Therefore, evaluation and
measurement of educational growth is essential for establishing a
development road map. Because of this, there are many organizations and
databases that work to capture academic trends and provide the general
view of institute achievements. Web of Science and Scopus are the two
most popular and scientific. In this paper, we define the important
effective factors in educational growth and discuss them; we then
compare these defined factors across four different developing
countries: Brazil, Iran, Malaysia, and Turkey. As well as the
comparisons, this paper uses the Pearson product moment correlation
coefficient method to analyze the factors and the strong or weak
relationship between the factors is discussed. Through this research,
the reader, especially the decision maker will find the effect of the
institute and research income to publication as well as other
SUNDARARAJAN, E. A Comprehensive Comparison of Educational Growth within
Four Different Developing Countries between 1990 and 2012. Revista de Gestão e Secretariado, v. 6, n. 3, p. 152-174, 2015.
Sundararajan, E. (2015). A Comprehensive Comparison of Educational
Growth within Four Different Developing Countries between 1990 and 2012.
Revista de Gestão e Secretariado, 6(3), 152-174.
Fooladi, M.; Farhadi, M.; et al. (2013). A Comparison between Two Main
Academic Literature Collections: Web of Science and Scopus Databases.
Asian Social Science, 9(5), 18-26.
Ale Ebrahim, N.; Salehi, H.;
Embi, M. A.; Habibi Tanha, F.; Gholizadeh, H.; Motahar, S. M.; et al.
(2013). Effective Strategies for Increasing Citation Frequency.
International Education Studies, 6(11), 93-99.
Dayangac, M.; Yaprak, O.; Yuzer, Y.; Tokat, Y. (2011). International
Collaboration of Turkey in Liver Transplantation Research: A
Bibliometric Analysis. [Article]. Transplantation Proceedings, 43(10),
Basu, A. (2010). Does a country's scientific
'productivity' depend critically on the number of country journals
indexed? [Article; Proceedings Paper]. Scientometrics, 82(3), 507-516.
G. (2012). Assessing the scientific productivity of Italian forest
researchers using the Web of Science, SCOPUS and SCIMAGO databases.
[Article]. Iforest-Biogeosciences and Forestry, v. 5, p. 101-107.
Filippo, D.; Casani, F.; Garcia-Zorita, C.; Efrain-Garcia, P.;
Sanz-Casado, E. (2012). Visibility in international rankings. Strategies
for enhancing the competitiveness of Spanish universities. [Article].
Scientometrics, 93(3), 949-966.
Eshraghi, A.; Abu Osman, N. A.;
Karimi, M. T.; Gholizadeh, H.; Ali, S.; Wan Abas, W. A. B. (2012).
Quantitative and Qualitative Comparison of a New Prosthetic Suspension
System with Two Existing Suspension Systems for Lower Limb Amputees.
American Journal Of Physical Medicine & Rehabilitation Publish Ahead
of Print. 10.1097/PHM.1090b1013e318269d318282a.
(1955). Citation indexes for science - new dimension in documentation
through association of ideas. Science, v. 122, p. 108-111.
E.; Welljamsdorof, A. (1992). Citation Data - Their Use As Quantitative
Indicators For Science And Technology Evaluation And Policy-Making.
(Reprinted From Science And PublicPolicy, Vol 19, PG 321-327, 1992).
[Reprint]. Current Contents, v. 49, p. 5-13.
Salehi, H.; Embi, M. A.; Danaee, M.; Ordi, A.; HabibiTanha, F.; et al.
(2014). Economic Growth and Internet Usage Impact on Publication
Productivity among ASEAN’s and World’s Best Universities. Modern Applied
Science, 8(5), 169-178.
Ibanez, A.; Larranaga, P.; Bielza, C.
(2013). Cluster methods for assessing research performance: exploring
Spanish computer science. [Article]. Scientometrics, 97(3), 571-600.
R.; Pouris, A. (2013). The influence of scientific research output of
academics on economic growth in South Africa: an autoregressive
distributed lag (ARDL) application. [Article]. Scientometrics, 95(1),
Moed, H. F.; Glänzel, W. (2004). Handbook of
Quantitative Science and Technology Research: The Use of Publication and
Patent Statistics in Studies of S&T Systems. Dordrecht: Kluwer
Samadikuchaksaraei, A.; Shokraneh, F.; Valinejad, A.; Abolghasem-Gorji,
H.; Yue, C. (2010). A Bibliometric Overview of 30 Years of Medical
Sciences Productivity in Iran. [Article]. Archives of Iranian Medicine,
Oldford, R. W. (2003). Editorial: Statistics and computing: Having an impact. Statistics and Computing, 13(2), 87-89.
M.; Yusof, M. J. M.; Ale Ebrahim, N.; Sharghi, A.; Arabi, R. (2015).
100 Most Cited Articles in Urban Green and Open Spaces: A Bibliometric
Analysis. Current World Environment, 10(2), 445-455.
W.; Zyoud, S. E.; Al-Jabi, S.; Sawalha, A. (2014). Bibliometric analysis
of diabetes mellitus research output from Middle Eastern Arab countries
during the period (1996-2012). Scientometrics, 101(1), 819-832.
The SCImago Journal & Country Rank. (2014). Retrieved 14 November, 2014, from http://www.scimagojr.com/help.php
L.; Yan, X.; Shibchurn, J.; Song, X. (2014). Evolutionary analysis of
international collaboration network of Chinese scholars in management
research. Scientometrics, 98(2), 1435-1454.
Zhao, D. (2005).
Challenges of scholarly publications on the web to the evaluation of
science - A comparison of author visibility on the web and in print
journals. Inf Process Manage, v. 41, p. 1403-1418.
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