The Thematic Core of the Researcher’s Publications: the Scientometric Approach
1 S.H. BOUBLYK
1 Dobrov Institute for Scientific and Technological Potential and Science History Studies of the NAS of Ukraine
Nauka naukozn. 2019, 4(106): 52-67
Abstract: Bibliometric profiles of researchers are formed from scientific publications in various thematic fields. The most influential publications crate the thematic core of the researcher’s bibliometric profile. Apart from monitoring of the publication activity of a given researcher or computing his/her h-index, an important task of scientometrics has to involve a study of the thematic core of his/her publications. The article’s objective is to perform scientometric assessment of the thematic core of the researcher’s publications. This objective is achieved by modifying the methods for linguistic statistical analysis of the thematic concentration of words in the text and h-index, to substantiate determining the thematic core of publications. Data from the bibliometric database Google Scholar are used to form the researcher’s profile (the case of Ioan-Iovitz Popescu, a Romanian physicist-linguist). They use is explained by easy access to bibliometric profiles; by the possibility of including conference proceedings and non-English publications and making a retrospective analysis of the dynamics of references to publications and h-index.
The occurrence of publications in various research fields in the thematic core of the current bibliometric profile of the researcher is not an incidence, but a consequence of regular processes involved in the formation of thematic cores in individual thematic fields (disciplinary or interdisciplinary ones). Making a list of all the main thematic publications broadens the possibilities for sound assessment of the diversity of the creative activities of a researcher and his/her talents. It is shown that the thematic core of the researcher’s bibliometric profile represents all the thematic fields of his/her research. Use of the thematic core of publications as a methodical tool increases the capacities for bibliometric and scientometrtic analysis of the publication activity of a researcher. Results of the study demonstrate that compiling a list of publications making the thematic core of the researcher’s bibliographic profile can be more important in the research performance assessment, than computing his/her h-index.
Keywords: scientometrics, h-index, thematic core of publications, bibliometric profile of researcher.
1.Rybachuk, V.P, Grachov, O.A., Kukhtenko, T.A, Videnina, N.G. (2005). Defining the general and specific bibliometric characteristics of research activities of scientists. Science and Science of Science, 4 (Addendum), 105–112 [In Ukrainian].
2.Porev, S.M. (2018). Between Science & Game. Research policy, universities and entrepreneurial ecosystems. Kyiv: Malotirazhka, 179 [in Ukrainian].
3.Rybachuk, V. & Quist, G. (2013). Classification of individual age-phase dynamics profiles of researchers’ scientific activity. Science and Science of science, 3, 55–62.
4.Mryglod, O.I. (2017). From physics to scientometrics: analysis of complex systems (by the materials of scientific report at the meeting of the Presidium of NAS of Ukraine March 29, 2017). Bulletin of the NAS of Ukraine, 7, 54–63 [in Ukrainian]. DOI: 10.15407/visn2017.07.054. https://doi.org/10.15407/visn2017.07.054
5.Nalimov, V.V., Mulchenko, Z.M. (1969). Scientometrics. Studying science as an information process. Moscow: Nauka, 192 [in Russian].
6.Borgoyakova, K.S. (2017). Methods to determine scientific publications citation of a researcher. Bibliosphere, 1, 103–109 [in Russian]. DOI: 10.20913/1815-3186-2017-1-103-109. https://doi.org/10.20913/1815-3186-2017-1-103-109
7.Chaikovsky, Yu.B., Silkina, Yu.V., Pototskaya, O.Yu. (2013). Scientometric Databases and their Quantitative Indices. Part IІ. Factors influencing the quantitative indices of scientometric databases, Bulletin of the NAS of Ukraine, 9, 84–92 [in Ukrainian].
8.Victoria Anauati & Sebastian Galiani & Ramiro H. Gбlvez (2016). Quantifying the Life Cycle of Scholarly Articles Across Fields of Economic Research. Economic Inquiry, Western Economic Association International, 54(2), 1339–1355. April. DOI: 10.1111/ecin.12292. https://doi.org/10.1111/ecin.12292
9.Hirsch, J. (2005) An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. U.S.A., 102, 16569–16572. https://doi.org/10.1073/pnas.0507655102
10.Sidiropoulos, A., Katsaros, D., & Manolopoulos, Y. (2007). Generalized Hirsch h-index for disclosing latent facts in citation networks. Scientometrics, 72(2), 253–280. DOI: 10.1007/s11192-007-1722-z. https://doi.org/10.1007/s11192-007-1722-z
11.Guskov, A.Ye. (2015). Russian Scientometrics: A review of Researches. Bibliosphere, 3, 75–86 [in Russian].
12.Porev, S. & Sandyga, I. (2015). The Way of University Science. Kyiv: Himgest, 112 [in Ukrainian].
13.Lande, D.V., Andrushchenko, V.B., Balagura, I.V. (2017). Wiki-index of authors popularity. arXiv preprint arXiv:1702.04614.
14.Mingers, J. & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19. https://doi.org/10.1016/j.ejor.2015.04.002
15.Hirsch, J.E. (2007). Does the h index have predictive power? Proceedings of the National Academy of Sciences of the United States of America, 104(49), 19193–19198. https://doi.org/10.1073/pnas.0707962104
16.Redner, S. J. (2010). On the meaning of the h-index (Letter). Stat. Mech. Theory Exp., 3. L03005. 1-6. DOI: 10.1088/1742-5468/2010/03/L03005. https://doi.org/10.1088/1742-5468/2010/03/L03005
17.Popescu, I-I., Best, K-H., Altmann, G. (2007). On the dynamics of word classes in text. Glottometrics, 14, 58–71.
18.Popescu, I.-I., & Altmann, G. (2011). Thematic concentration in texts. Issues in Quantitative Lingustics (Vol. 2). E. Kelih, V. Levickij, & Y. Matskulyak (Eds.). (pp. 110–116). Lьdenscheid: RAM-Verlag.
- Čech, R., Popescu, I.-I., & Altmann, G. (2013). Methods of analysis of a thematic concentration of the text. Czech and Slovak Linguistic Review, 3, 4–21. https://doi.org/10.1524/glot.2013.0007
- Čech, R., Garabнk, R., Altmann, G. (2015). Testing the thematic concentration of text. Journal of Quantitative Linguistics, 22(3), 215–232. https://doi.org/10.1080/09296174.2015.1037157
21.Ruina Chen & Haitao Liu (2017). Thematic Concentration as a Discriminating Feature of Text Types. Journal of Quantitative Linguistics, 25(1), 1–24. DOI: 10.1080/09296174.2017.1339441. https://doi.org/10.1080/09296174.2017.1339441
22.Popescu, Ioan Iovitz. Google Scholar Citations (03.07.2019). Retrieved from https://scholar.google.com/citations?hl=ru&user=iqhVvzEAAAAJ&view_op=list_works.
23.Ioan-Iovitz Popescu. 80 years of life. Retrieved from http://www.iipopescu.com/.
24.Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E., Herrera, F. (2009). h-index: A Review Focused in its Variants, Computation and Standardization for Different Scientific Fields. Journal of Informetrics, 3:4, 273–289. DOI: 10.1016/j.joi.2009.04.001. https://doi.org/10.1016/j.joi.2009.04.001
25.Nazarovets, S.A. (2011). Citation analysis in the era 2.0. Proceedings from: The third Scientific and Practical Conference “Modern problems of library activity in the conditions of information society”. (pp. 202–208). Lviv [in Ukrainian].
26.Ioan-Iovitz Popescu. Linguistic publications updated January 2019. Retrieved from http://www.ram-verlag.eu/journals-e-journals/glottometrics/http://www.cechradek.cz/publ.html#Articles.
26.Popescu, Ioan-Iovitz, Altmann, Gabriel (2006). Some aspects of word frequencies. Glottometrics, 13. 23-46.
28.Garfield, E. (1999). Journal impact factor: a brief review. Can. Med. Assoc. J., 161, 979–980.
29.Jacso, P. (2009). Five-year impact factor data in the Journal Citation Reports. Online Information Review, 33(3). 603–614. https://doi.org/10.1108/14684520910969989