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RESEARCH PAPER
Mathematical and Statistical Bibliometric Indicators for Scholars in the Field of Romance Languages and Linguistics
1
University of Ss. Cyril and Methodius in Trnava, SLOVAKIA
2
Constantine the Philosopher University, Nitra, SLOVAKIA
3
Kazan (Volga Region) Federal University, Kazan, RUSSIA
4
RUDN University (Peoples’ Friendship University of Russia), Moscow, RUSSIA
5
University of Mentouri Brothers, Constantine, ALGERIA
6
Financial University under the Government of the Russian Federation, Moscow, RUSSIA
Publication date: 2018-10-09
EURASIA J. Math., Sci Tech. Ed 2018;14(12):em1638
KEYWORDS
WOSWOKScopusjournals with romance languages and linguistics scopejbitechnologyscholarscitationsindicators
ABSTRACT
The rapid development of using information technology enables scholars to present their work in the worldwide databases, to read works of other colleagues, to be read, to get citations. The primary objective of this study is to show the scholars of Romance languages and linguistics who meet with their projects and publications in Agence Universitaire de la Francophonie (AUF) how to work with databases. The second objective is to point out that to present research made in the field of Romance languages and linguistics written in a Romance language is a difficult task for a number of scholars across the world.
REFERENCES (44)
1.
Abrizah, A., Zainab, A. N., Kiran, K., & Raj, R. G. (2012). LIS journals scientific impact and subject categorization: A comparison between Web of Science and Scopus. Scientometrics, 94(2), 721–740. https://doi.org/10.1007/s11192....
2.
Arkhipova, I. V., Baklanov, P. A., Zhdanov, D. O., & Chernova, N.A. (2017). Training specialists in humanities at technical college. XLinguae, 10 (1), 109-118. https://doi.org/10.18355/XL.20....
3.
Arroyo Moliner, L., Gallardo-Gallardo, E., & Gallo de Puelles, P. (2017). Understanding scientific communities: a social network approach to collaborations in Talent Management research. Scientometrics, 113(3), 1439-1462. https://doi.org/10.1007/s11192....
4.
Bao, P., & Zhai, C. (2017). Dynamic credit allocation in scientific literature. Scientometrics, 112(1), 595-606. https://doi.org/10.1007/s11192....
5.
Bornmann, L., Marx, W., Schier, H., Rahm, E., Thor, A., & Daniel, H. D. (2009). Convergent validity of bibliometric Google Scholar data in the field of chemistry-Citation counts for papers that were accepted by Angewandte Chemie International Edition or rejected but published elsewhere, using Google Scholar, Science Citation Index, Scopus, and Chemical Abstracts. Journal of Informetrics, 3(1), 27-35. https://doi.org/10.1016/j.joi.....
6.
Boyack, K. W., Eck, N. I., Colavizza, G., & Waltman, L. (2018). Characterizing in-text citations in scientific articles: A large-scale analysis. Journal of Informetrics, 12(1), 59-73. https://doi.org/10.1016/j.joi.....
7.
Campanario, J., González, L., & Rodríguez, C . (2006). Structure of the impact factor of academic journals in the field of Education and Educational Psychology: Citations from editorial board members. Scientometrics, 69(1), 37-56. https://doi.org/10.1007/s11192....
8.
Correia, A., Paredes, H., & Fonseca, B. (2018). Scientometric analysis of scientific publications in CSCW. Scientometrics, 114(1), 31-89. https://doi.org/10.1007/s11192....
9.
Craig, I. D., Plume, A. M., McVeigh, M. E., Pringle, J., & Amin, M. (2007). Do open access articles have greater citation impact?: A critical review of the literature. Journal of Informetrics, 1(3), 239-248. https://doi.org/10.1016/j.joi.....
10.
Dassa, M., Kosmopoulos, Ch., & Pumain, D. (2018). JournalBase. Comparing International Scientific Databases in the Humanities and Social Sciences. Cybergeo: European Journal of Geography. Retrieved from http://journals.openedition.or... https://doi.org/10.4000 /cybergeo.22864.
11.
Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152. https://doi.org/10.1007/s11192....
12.
Egghe, L., & Rousseau, R. (2006). An informetric model for the Hirsch-index. Scientometrics, 69(1), 121-129. https://doi.org/10.1007/s11192....
13.
Fang, C., Zhang, J., & Qiu, W. (2017). Online classified advertising: a review and bibliometric analysis. Scientometrics, 113(3), 1481-1511. https://doi.org/10.1007/s11192....
14.
Franceschet, M. (2009). A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar. Scientometrics, 83(1), 243–258. https://doi.org/10.1007/s11192....
15.
Franceschini, F., Maisano, D., & Mastrogiacomo, L. (2015). Errors in DOI indexing by bibliometric databases. Scientometrics, 102(3), 2181-2186. https://doi.org/10.1007/s11192....
16.
Frandsen, T. F. (2017). Are predatory journals undermining the credibility of science? A bibliometric analysis of citers. Scientometrics, 113(3), 1513-1528. https://doi.org/10.1007/s11192....
17.
Gavel, Y., & Iselid, L. (2008). Web of Science and Scopus: A journal title overlap study. Online Information Review, 32(1), 8–21. https://doi.org/10.1108/146845....
18.
Gavrilenko, N. N., & Dmitrichenkova, S. V. (2017). Phased training of technical translators and its specific features. XLinguae, 10(4), 126-137. https://doi.org/10.18355/XL.20....
19.
Glänzel, W., & Schoepflin, U. (1999). A bibliometric study of reference literature in the sciences and social sciences. Information Processing and Management, 35(1), 31–44. https://doi.org/10.1016/S0306-....
20.
Jacso, P. (2012). Google Scholar Metrics for Publications The software and content features of a new open access bibliometric service. Online Information Review, 36(4), 604-619. https://doi.org/10.1108/146845....
21.
Kong, Y., Kayumova, L. R., & Zakirova, V. G. (2017). Simulation Technologies in Preparing Teachers to Deal with Risks. EURASIA Journal of Mathematics, Science and Technology Education, 13(8), 4753-4763. https://doi.org/10.12973/euras....
22.
Kousha, K., & Thelwall, M. (2007). Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines. Scientometrics, 74(2), 273–294. https://doi.org/10.1007/s11192....
23.
Kubiatko, M. (2017). Not every predatory journal is really predatory journal. Eurasia Journal of Mathematics, Science and Technology. Education, 13(9), 6041-6043. https://doi.org/10.12973/euras....
24.
Kvon, G. M., & Vaks, V. B. (2017). Features of electronic learning management system use in the educational process. Conference Proceedings: Education: innovations and traditions (pp. 104-105). Prague: WORLD PRESS.
25.
Kvon, G. M., Lushchik, I. V., Karpenko, M. A., Zaitseva, N. A., Kulkov, A. A., Galushkin, A. A., & Yakupova, N. M. (2017). Regional investment policy: analysis and assessment of the investment environment state. Eurasian Journal of Analytical Chemistry, 12(5), 835-853. https://doi.org/10.12973/ejac.....
26.
Larsen, P. O., & von Ins, M. (2010). The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index. Scientometrics, 84(3), 575-603. https://doi.org/10.1007/s11192....
27.
Levina, E. Y., Masalimova A. R., Kryukova N. I., Grebennikov V. V., Marchuk N. N., Shirev D. A., Renglikh K. A., & Shagieva R. V. (2017). Structure and Content of e-Learning Information Environment Based on Geo-Information Technologies. EURASIA Journal of Mathematics, Science and Technology Education, 13(8), 5019-5031. https://doi.org/10.12973/euras....
28.
Lojova, G. (2016). Humanizing English language teaching in Slovakia. XLinguae, 9(4), 30-36. https://doi.org/10.18355/XL.20....
29.
Luque-Martínez, T., & del Barrio-García, S. (2016). Constructing a synthetic indicator of research activity. Scientometrics, 108(3), 1049–1064. https://doi.org/10.1007/s11192....
30.
Migheli, M., & Ramello, G.B. (2018). The market of academic attention. Scientometrics 114(1), 113-133. https://doi.org/10.1007/s11192....
31.
Mingers, J., & Lipitakis, E. A. (2010). Counting the citations: A comparison of Web of Science and Google Scholar in the field of business and management. Scientometrics, 85(2), 613–625. https://doi.org/10.1007/s11192....
32.
Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213-228. https://doi.org/10.1007/s11192....
33.
Nederhof, A. J. (2006). Bibliometric monitoring of research performance in the social sciences and the humanities: A review. Scientometrics, 66(1), 81–100. https://doi.org/10.1007/s11192....
34.
Ponomarenko, E. B., Zheltukhina, M. R., Slyshkin, G. G., Borzykh, L. A., & Caselles, C. G. (2017). Markers of the affecting model in contemporary political media communication. XLinguae, 10 (4), 58-68. https://doi.org/10.18355/XL.20....
35.
Saad, G. (2006). Exploring the h-index at the author and journal levels using bibliometric data of productive consumer scholars and business-related journals respectively. Scientometrics, 69(1), 117-120. https://doi.org/10.1007/s11192....
36.
Shamshina, T., & Koryuhina, C. (2015). Open education: continuity of approaches and risks. Information Technologies, Management and Society, 8(1), 12-15.
37.
Solomon, D. J., Laakso, M., & Björk, B. C. (2013). A longitudinal comparison of citation rates and growth among open access journals. Journal of Informetrics, 7(3), 642-650. https://doi.org/10.1016/j.joi.....
38.
Trajtel, E., Tomková, V., & Kružlik, P. (2017). Journals in the field “language and literature” indexed in web of science and scopus databases. Verification of results of the scientific research in publishing technique. XLinguae, 10(4), 245-249. https://doi.org/10.18355/XL.20....
39.
Tyunnikov, Y., S. (2015). Conceptualizing the System of Preparing Future Pedagogues for Innovation Activity. European Journal of Contemporary Education, 11(1), 98-112. https://doi.org/10.13187/ejced....
40.
Wouters, P. (2006). Aux origines de la scientométrie: La naissance du Science Citation Index. Actes de La Recherche En Sciences Sociales, 4(164), 10–21. https://doi.org/10.3917/arss.1....
41.
Zanotto, E. (2006). The scientists pyramid. Scientometrics, 69(1), 175-181. https://doi.org/10.1007/s11192....
42.
Zhang, C. T. (2009). The e-Index, Complementing the h-Index for Excess Citations. PLoS ONE, 4(5), 542 -549. https://doi.org/10.1371/journa....
43.
Zheltukhina, M. R., Klushina, N. I., Ponomarenko, E. B., Vasilkova, N. N., & Dzyubenko, A. I. (2017). Modern media influence: mass culture – mass consciousness – mass communication. XLinguae, 10 (4), 96-105. https://doi.org/10.18355/XL.20....
44.
Zheng, J. (2012). International scientific and technological collaboration of China from 2004 to 2008: a perspective from paper and patent analysis. Scientometrics, 91(1), 65-80. https://doi.org/10.1007/s11192....
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