Description:
[1] L. Oriokot, W. Buwembo, I. Munabi, S. Kijjambu, The introduction, methods, results and
discussion (IMRAD) structure: A Survey of its use in different authoring partnerships in
a students’ journal, BMC Research Notes 4 (2011) 250. URL: http://www.biomedcentral.
com/1756-0500/4/250. doi:10.1186/1756-0500-4-250.
[2] Paperpale, Types of research papers, 2020. URL: https://paperpile.com/g/
types-of-research-papers/.
[3] Y. Shapovalov, V. Shapovalov, F. Andruszkiewicz, N. Volkova, Analyzing of main trends of
STEM education in ukraine using stemua.science statistics, CEUR Workshop Proceedings
2643 (2020) 448–461. URL: http://ceur-ws.org/Vol-2643/paper26.pdf.
[4] S. Semerikov, V. Pototskyi, K. Slovak, S. Hryshchenko, A. Kiv, Automation of the export
data from Open Journal Systems to the Russian Science Citation Index, CEUR Workshop
Proceedings 2257 (2018) 215–226.
[5] A. Ramesh Babu, Y. P. Singh, Determinants of research productivity, Scientometrics 43 (1998) 309–329. URL: http://link.springer.com/10.1007/BF02457402. doi:10.1007/
BF02457402.
[6] G. Abramo, C. A. D’Angelo, F. D. Costa, University-industry research collaboration: A
model to assess university capability, Higher Education 62 (2011) 163–181. doi:10.1007/
s10734-010-9372-0.
[7] M. Pianta, D. Archibugi, Specialization and size of scientific activities: A bibliometric analysis of advanced countries, Scientometrics 22 (1991) 341–358. doi:10.1007/BF02019767.
[8] M. Newman, The structure of scientific collaboration networks, in: The Structure and
Dynamics of Networks, volume 9781400841, Princeton University Press, Princeton, 2011,
pp. 221–226. doi:10.1515/9781400841356.221.
[9] T. Braun, W. Glänzel, A. Schubert, Publication and cooperation patterns of the authors of neuroscience journals, Scientometrics 51 (2001) 499–510. doi:10.1023/A:
1019643002560.
[10] S. M. Lawani, Some bibliometric correlates of quality in scientific research, Scientometrics
9 (1986) 13–25. doi:10.1007/BF02016604.
[11] A. A. Khasseh, F. Soheili, H. S. Moghaddam, A. M. Chelak, Intellectual structure of
knowledge in iMetrics: A co-word analysis, Information Processing & Management 53
(2017) 705–720. doi:10.1016/j.ipm.2017.02.001.
[12] L. Kostenko, A. Zhabin, A. Kuznetsov, T. Lukashevich, E. Kukharchuk, T. Simonenko,
Scientometrics: A Tool for Monitoring and Support of Research, Science and Science of
Science (2015) 88–94.
[13] K. R. Mulla, Identifying and mapping the information science and scientometrics analysis
studies in India (2005-2009): A bibliometric study, Library Philosophy and Practice (2012)
1–18.
[14] S. Ravikumar, A. Agrahari, S. N. Singh, Mapping the intellectual structure of scientometrics:
a co-word analysis of the journal Scientometrics (2005–2010), Scientometrics 102 (2015)
929–955. doi:10.1007/s11192-014-1402-8.
[15] I. Pavlovskiy, Using Concepts of Scientific Activity for Semantic Integration of Publications,
Procedia Computer Science 103 (2017) 370–377. doi:10.1016/j.procs.2017.01.123.
[16] B. E. Perron, B. G. Victor, D. R. Hodge, C. P. Salas-Wright, M. G. Vaughn, R. J. Taylor,
Laying the Foundations for Scientometric Research: A Data Science Approach, Research
on Social Work Practice 27 (2017) 802–812. doi:10.1177/1049731515624966.
[17] M. C. Ramirez, R. A. R. Devesa, A scientometric look at mathematics education from
Scopus database, Mathematics Enthusiast 16 (2019) 37–46.
[18] O. Kinouchi, L. D. Soares, G. C. Cardoso, A simple centrality index for scientific social
recognition, Physica A: Statistical Mechanics and its Applications 491 (2018) 632–640.
doi:10.1016/j.physa.2017.08.072.
[19] S. Milojević, L. Leydesdorff, Information metrics (iMetrics): a research specialty
with a socio-cognitive identity?, Scientometrics 95 (2013) 141–157. doi:10.1007/
s11192-012-0861-z.
[20] M. Amami, R. Faiz, F. Stella, G. Pasi, A graph based approach to scientific paper recommendation, in: Proceedings - 2017 IEEE/WIC/ACM International Conference on Web
Intelligence, WI 2017, 2017, pp. 777–782. doi:10.1145/3106426.3106479.
[21] D. Boughareb, A. Khobizi, R. Boughareb, N. Farah, H. Seridi, A Graph-Based Tag Recommendation for Just Abstracted Scientific Articles Tagging, International Journal of
Cooperative Information Systems 29 (2020) 2050004. URL: https://www.worldscientific.
com/doi/abs/10.1142/S0218843020500045. doi:10.1142/S0218843020500045.
[22] N. Perraudin, Graph-based structures in data science : fundamental limits and applications
to machine learning, Ph.D. thesis, 2017. URL: https://infoscience.epfl.ch/record/227982?ln=
en. doi:10.5075/epfl-thesis-7644.
[23] D. Parveen, A Graph-based Approach for the Summarization of Scientific Articles, Ph.D.
thesis, 2018.
[24] R. Alnemr, A. Paschke, C. Meinel, Enabling reputation interoperability through semantic
technologies, ACM International Conference Proceeding Series (2010). doi:10.1145/
1839707.1839723.
[25] O. Y. Stryzhak, V. Gorborukov, O. Franchuk, M. Popova, Ontology of the choice problem
and its application in the analysis of limnological systems, Ecological safety and nature management (2014) 172–183.
[26] L. Globa, M. Kovalskyi, O. Y. Stryzhak, Increasing Web Services Discovery Relevancy in
the Multi-ontological Environment, Advances in Intelligent Systems and Computing 342
(2019) 335–345. doi:10.1007/978-3-319-15147-2.
[27] L. Globa, S. Sulima, M. Skulysh, S. Dovgyi, O. Stryzhak, Architecture and Operation
Algorithms of Mobile Core Network with Virtualization, in: Mobile Computing,
IntechOpen, 2020, pp. 1–22. URL: https://www.intechopen.com/books/mobile-computing/
architecture-and-operation-algorithms-of-mobile-core-network-with-virtualization.
doi:10.5772/intechopen.89608.
[28] V. Gorborukov, O. Y. Stryzhak, O. Franchuk, V. B. Shapovalov, Ontological representation
of the problem of ranking alternatives, Mathematical modeling in economics 4 (2018)
49–69. doi:10.1017/CBO9781107415324.004.
[29] V. Shapovalov, Y. Shapovalov, Z. Bilyk, A. Atamas, R. Tarasenko, V. Tron, Centralized information web-oriented educational environment of Ukraine, CEUR Workshop Proceedings
2433 (2019) 246–255. URL: http://ceur-ws.org/Vol-2433/paper15.pdf.
[30] M. Popova, O. Y. Stryzhak, Ontological interface as a means of presenting information
resources in the GIS environment, Scientific notes of the Taurida National University. V. I.
Vernadsky. 65 (2013) 127–135.
[31] V. Velichko, M. Popova, V. Prikhodnyuk, O. Y. Stryzhak, TODOS is an IT platform for the
formation of transdisciplinary information environments, Weapons systems and military
equipment 1 (2017) 10–19.
[32] R. Volckmann, Transdisciplinarity: Basarab Nicolescu Talks with Russ Volckmann, Lancet
Neurology 6 (2007) 76. doi:10.1016/S1474-4422(07)70211-9.
[33] B. Nicolescu, A. Ertas, Transdisciplinary, Theory Practice, 2013.
[34] I. Slipukhina, S. Kuzmenkov, N. Kurilenko, S. Mieniailov, H. Sundenko, Virtual educational
physics experiment as a means of formation of the scientific worldview of the pupils,
CEUR Workshop Proceedings 2387 (2019) 318–333.
[35] P. Nechypurenko, T. Selivanova, M. Chernova, Using the cloud-oriented virtual chemical
laboratory VLab in teaching the solution of experimental problems in chemistry of 9th
grade students, CEUR Workshop Proceedings 2393 (2019) 968–983.
[36] O. Lavrentieva, I. Arkhypov, O. Kuchma, A. Uchitel, Use of simulators together with virtual
and augmented reality in the system of welders’ vocational training: Past, present, and
future, CEUR Workshop Proceedings 2547 (2020) 201–216.
[37] O. Bondarenko, O. Pakhomova, W. Lewoniewski, The didactic potential of virtual information educational environment as a tool of geography students training, CEUR Workshop
Proceedings 2547 (2020) 13–23.
[38] Y. Modlo, S. Semerikov, E. Shmeltzer, Modernization of professional training of electromechanics bachelors: ICT-based Competence Approach, CEUR Workshop Proceedings 2257
(2018) 148–172.
[39] E. Fedorenko, V. Velychko, A. Stopkin, A. Chorna, V. Soloviev, Informatization of education
as a pledge of the existence and development of a modern higher education, CEUR
Workshop Proceedings 2433 (2019) 20–32.
[40] P. Nechypurenko, V. Stoliarenko, T. Starova, T. Selivanova, O. Markova, Y. Modlo,
E. Shmeltser, Development and implementation of educational resources in chemistry with elements of augmented reality, CEUR Workshop Proceedings 2547 (2020) 156–167.
[41] V. Tkachuk, Y. Yechkalo, S. Semerikov, M. Kislova, V. Khotskina, Exploring student uses of
mobile technologies in university classrooms: Audience response systems and development
of multimedia, CEUR Workshop Proceedings 2732 (2020) 1217–1232.
[42] Y. O. Modlo, S. O. Semerikov, P. P. Nechypurenko, S. L. Bondarevskyi, O. M. Bondarevska,
S. T. Tolmachev, The use of mobile Internet devices in the formation of ICT component
of bachelors in electromechanics competency in modeling of technical objects, CEUR
Workshop Proceedings 2433 (2019) 413–428.
[43] Y. Modlo, S. Semerikov, S. Bondarevskyi, S. Tolmachev, O. Markova, P. Nechypurenko,
Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects, CEUR
Workshop Proceedings 2547 (2020) 217–240.
[44] Y. Modlo, S. Semerikov, R. Shajda, S. Tolmachev, O. Markova, P. Nechypurenko, T. Selivanova, Methods of using mobile internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical
objects, CEUR Workshop Proceedings 2643 (2020) 500–534.
[45] V. Tkachuk, Y. Yechkalo, S. Semerikov, M. Kislova, Y. Hladyr, Using Mobile ICT for Online Learning During COVID-19 Lockdown, in: A. Bollin, V. Ermolayev, H. C. Mayr,
M. Nikitchenko, A. Spivakovsky, M. Tkachuk, V. Yakovyna, G. Zholtkevych (Eds.), Information and Communication Technologies in Education, Research, and Industrial Applications,
Springer International Publishing, Cham, 2021, pp. 46–67.
[46] A. Striuk, M. Rassovytska, S. Shokaliuk, Using Blippar augmented reality browser in the
practical training of mechanical engineers, CEUR Workshop Proceedings 2104 (2018)
412–419.
[47] S. Zelinska, A. Azaryan, V. Azaryan, Investigation of opportunities of the practical application of the augmented reality technologies in the information and educative environment
for mining engineers training in the higher education establishment, CEUR Workshop
Proceedings 2257 (2018) 204–214.
[48] P. Nechypurenko, T. Starova, T. Selivanova, A. Tomilina, A. Uchitel, Use of augmented
reality in chemistry education, CEUR Workshop Proceedings 2257 (2018) 15–23.
[49] V. Shapovalov, Y. Shapovalov, Z. Bilyk, A. Megalinska, I. Muzyka, The Google Lens analyzing quality: An analysis of the possibility to use in the educational process, CEUR Workshop
Proceedings 2547 (2020) 117–129. URL: http://www.ceur-ws.org/Vol-2547/paper0.
[50] K. Vlasenko, O. Chumak, I. Lovianova, D. Kovalenko, N. Volkova, Methodical requirements
for training materials of on-line courses on the platform "Higher school mathematics
teacher", E3S Web of Conferences 166 (2020). doi:10.1051/e3sconf/202016610011.
[51] K. Vlasenko, S. Volkov, I. Sitak, I. Lovianova, D. Bobyliev, Usability analysis of on-line
educational courses on the platform "Higher school mathematics teacher", E3S Web of
Conferences 166 (2020) 10012. doi:10.1051/e3sconf/202016610012.
[52] K. Vlasenko, D. Kovalenko, O. Chumak, I. Lovianova, S. Volkov, Minimalism in designing
user interface of the online platform “Higher school mathematics teacher”, CEUR Workshop
Proceedings 2732 (2020) 1028–1043.
[53] V. V. Yahupov, V. Y. Kyva, V. I. Zaselskiy, The methodology of development of information
and communication competence in teachers of the military education system applying the distance form of learning, CEUR Workshop Proceedings 2643 (2020) 71–81.
[54] S. Shokaliuk, Y. Bohunenko, I. Lovianova, M. Shyshkina, Technologies of distance learning
for programming basics on the principles of integrated development of key competences,
CEUR Workshop Proceedings 2643 (2020) 548–562.
[55] M. Syvyi, O. Mazbayev, O. Varakuta, N. Panteleeva, O. Bondarenko, Distance learning as
innovation technology of school geographical education, CEUR Workshop Proceedings
2731 (2020) 369–382.
[56] D. Y. Bobyliev, E. V. Vihrova, Problems and prospects of distance learning in teaching
fundamental subjects to future mathematics teachers, Journal of Physics: Conference
Series 1840 (2021) 012002. URL: https://doi.org/10.1088/1742-6596/1840/1/012002. doi:10.
1088/1742-6596/1840/1/012002.
[57] K. Polhun, T. Kramarenko, M. Maloivan, A. Tomilina, Shift from blended learning to distance one during the lockdown period using Moodle: test control of students’ academic achievement and analysis of its results, Journal of Physics: Conference Series 1840 (2021) 012053. URL: https://doi.org/10.1088/1742-6596/1840/1/012053.
doi:10.1088/1742-6596/1840/1/012053.
[58] P. Merzlykin, M. Popel, S. Shokaliuk, Services of SageMathCloud environment and their
didactic potential in learning of informatics and mathematical disciplines, CEUR Workshop
Proceedings 2168 (2017) 13–19.
[59] Y. Shapovalov, V. Shapovalov, V. Zaselskiy, TODOS as digital science-support environment
to provide STEM-education, CEUR Workshop Proceedings 2433 (2019) 232–245. URL:
http://ceur-ws.org/Vol-2433/paper14.pdf.
[60] V. Pererva, O. Lavrentieva, O. Lakomova, O. Zavalniuk, S. Tolmachev, The technique of
the use of Virtual Learning Environment in the process of organizing the future teachers’
terminological work by specialty, CEUR Workshop Proceedings 2643 (2020) 321–346.
[61] V. Ivanov, Y. B. Shapovalov, V. Stabnikov, A. I. Salyuk, O. Stabnikova, M. ul Rajput Haq,
Barakatullahb, Z. Ahmed, Iron-containing clay and hematite iron ore in slurry-phase
anaerobic digestion of chicken manure, AIMS Materials Science 6 (2020) 821–832.
[62] A. Paschke, R. Schäfermeier, OntoMaven - Maven-based ontology development and management of distributed ontology repositories, Advances in Intelligent Systems and Computing 626 (2018) 251–273. doi:10.1007/978-3-319-64161-4_12. arXiv:1309.7341.