0.903
IF
1.06
CiteScore
0.510
SJR
1.062
SNIP
Research paper
 
CC-BY 4.0
 
 

A Bibliometric Retrospective of the Journal Eurasia Journal of Mathematics, Science and Technology Education between 2012 and 2017

Peng Wang 1,  
Fangwei Zhu 1,  
Haoyang Song 1,  
Jianhua Hou 2  
 
1
Dalian University of Technology, CHINA
2
Dalian University, CHINA
EURASIA J. Math., Sci Tech. Ed 2018;14(3):765–775
Online publish date: 2017-11-30
Publish date: 2017-11-30
KEYWORDS:
ABSTRACT:
This study carries out a bibliometric retrospective of the journal Eurasia Journal of Mathematics, Science and Technology Education (EJMSTE) between 2012 and 2017 by using the bibliometric analysis and visualizing approaches. A series of bibliometric indicators, such as H-Classics publications, major prolific authors, institutions and countries and research themes etc., were included. With the help of 655 structured data retrieved from the Web of Science, we found a rapid growth trend of published productions. The most prolific authors, institutions and countries (territories) are mainly from Turkey and Taiwan, and this indicates this journal was dominated by these two countries (territories). Analysis of research themes showed science education, teacher education, mathematics education, attitude/attitudes research, problem solving and professional development were the main research themes for this journal. The citation impact analysis of research theme showed that three themes (i.e., student teacher, Technology Acceptance Model and animals) attracted more citations than others. Six clusters were identified which formed the main knowledge base of this journal. Analysis of cited and citing journals presented the knowledge commutation status of EJMSTE between other journals. These findings will help the readers to get a quick and intuitive overview and may be useful for helping the possible authors in deciding if their papers should be submitted to EJMSTE.
 
REFERENCES (23):
1. Bharvi, D., Garg, K. C., & Bali, A. (2003). Scientometrics of the international journal scientometrics. Scientometrics, 56(1), 81-93.
2. Bickers, D. R., & Modlin, R. L. (2012). A review of the journal of investigative dermatology’s most cited publications over the past 25 years and the use of developing bibliometric methodologies to assess journal quality. Journal of Investigative Dermatology, 132(3 Pt 2), 1050.
3. Blažun Vošner, H. B., Kokol, P., Bobek, S., Železnik, D., & Završnik, J. (2016). A bibliometric retrospective of the journal computers in human behavior (1991–2015). Computers in Human Behavior, 65, 46-58.
4. Börner, K. (2014). Plug-and-Play Macroscopes: Network Workbench (NWB), Science of Science Tool (Sci2), and Epidemiology Tool (EpiC). Springer New York.
5. Chen, C. (2009). Citespace ii: detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the China Society for Scientific & Technical Information, 57(3), 359-377.
6. Chen, C. (2011). Turning Points: The Nature of Creativity. Berlin: Springer Press.
7. Cobo, M. J., Martínez, M. A., Gutiérrez-Salcedo, M., Herrera, M., & Herrera-Viedma, E. (2014). Identifying citation classics in fuzzy decision making field using the concept of h-classics. Procedia Computer Science, 31, 567-576.
8. Córdoba, J. R., Pilkington, A., & Bernroider, E. W. N. (2012). Information systems as a discipline in the making: comparing EJIS, and MISQ, between 1995 and 2008. European Journal of Information Systems, 21(5), 479-495.
9. Coupé, T. (2003). Revealed performances: worldwide rankings of economists and economics departments, 1990–2000. Journal of the European Economic Association, 1(6), 1309-1345.
10. Eck, N. J. V., & Waltman, L. (2014). Citnetexplorer: a new software tool for analyzing and visualizing citation networks. Journal of Informetrics, 8(4), 802-823.
11. Eck, N. J., Waltman, L., & Glänzel, W. (2017). Citation-based clustering of publications using citnetexplorer and vosviewer. Scientometrics, 111(2), 1053-1070.
12. Fu, H.-Z., & Ho, Y.-S. (2015). A bibliometric analysis of the Journal of Membrane Science (1976-2010). The Electronic Library, 33(4), 698-713.
13. Garfield, E. (2009). From the science of science to scientometrics visualizing the history of science with histcite, software. Journal of Informetrics, 3(3), 173-179.
14. Garg, K. C., Srivastava, J., & Bebi, B. (2015). Journal of intellectual property rights: a bibliometric analysis of cited references. Desidoc Journal of Library & Information Technology, 35(6), 436-442.
15. Heck, J. L., & Jensen, R. E. (2007). An analysis of the evolution of research contributions by the accounting review, 1926-2005. Accounting Historians Journal, 34(2), 109-141.
16. Iefremova, O., Sas, D., & Kozak, M. (2016). International collaboration among authors of current science. Current Science, 110(8), 1414-1418.
17. Li, J., & Hale, A. (2016). Output distributions and topic maps of safety related journals. Safety Science, 82, 236-244.
18. Li, J., Jovanovic, A., Klimek, P., & Guo, X. (2015). Bibliometric analysis of fracking scientific literature. Scientometrics, 105(2), 1273-1284.
19. Martínez, M. A., Herrera, M., Contreras, E., Ruíz, A., & Herrera-Viedma, E. (2015). Characterizing highly cited papers in social work through h-classics. Scientometrics, 102(2), 1713-1729.
20. Merigó, J. M., Mas-Tur, A., Roig-Tierno, N., & Ribeiro-Soriano, D. (2015). A bibliometric overview of the journal of business research, between 1973 and 2014. Journal of Business Research, 68(12), 2645-2653.
21. Narin, F., & Hamilton, K. S. (1996). Bibliometric performance measures. Scientometrics, 36(3), 293-310.
22. Prathap, G. (2014). A bibliometric profile of current science. Current Science, 106(7), 958-963.
23. Restrepo, G., & Willett, P. (2017). The journal of mathematical chemistry: a bibliometric profile. Journal of Mathematical Chemistry, 55(8), 1589-1596.
eISSN:1305-8223
ISSN:1305-8215