ҚазРусEng
ҚазРусEng

AP19678627 “Development of information technology, formation of multi-university scientific and educational communities based on the theory of scientometric analysis”

 

Project manager: Doctor of Sciences in IT, Biloshchytskyi Andrii Aleksandrovich

Source of funding: GF MSHE RK

Years of implementation: 2023 – 2025

Amount of funding: 70,933,444 tenge

As a result of the project, the following were developed:

  • new methods to increase the efficiency of forming multi-university scientific and educational communities based on assessments of the productivity of collective and individual scientific subjects.
  • methods for forming subject scientific spaces based on cluster analysis of the parameters of the model for identifying a scientist as a subject of scientific activity and based on latent semantic analysis.
  • methods for quantitative assessment and evaluation of the nature of the development of the productivity of subjects of scientific activity taking into account self-citation in the relevant subject scientific spaces.
  • methods for using a set of methods and models of scientometric analysis to determine and optimize the structure of multi-university scientific communities, as well as their implementation in the international scientific community.​

Articles published:

  • Andrii Biloshchytskyi, Malika Shamgunova, Svitlana Biloshchytska – Exploration of the thematic clustering and collaboration opportunities in kazakhstani research // Scientific Journal of Astana IT University, ISSN (P): 2707-9031 ISSN (E): 2707-904X, Volume 17, March 2024. https://doi.org/10.37943/17ALVR8114​
  • Malika Shamgunova, Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Faizullin Adil – A method for clustering scientific publications based on natural language for the purpose of strategic planning of partnerships in interdisciplinary research // 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST), 15-17 May, 2024, Astana, Kazakhstan. https://doi.org/10.1109/SIST2024.10629492​
  • Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Yurii Andrashko, Aidos Mukhatayev, Sapar Toxanov, Adil Faizullin, Nataliia Yurchenko – Revealing the closeness of publication ties in scientific cooperation taking into account scientific productivity based on the time-weighted pagerank method with citation intensity // Eastern-European Journal of Enterprise Technologies 5(4 (131)) 63-70. https://doi.org/10.15587/1729-2024.312884