Alexander Kuchansky
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Alexander Kuchansky has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Adil Faizullin
Astana IT University
1 shared publication - Andrii Biloshchytskyi
University Administration, Astana IT University, Astana 010000, Kazakhstan
1 shared publication - Svitlana Biloshchytska
Department of Information Technology, Kyiv National University of Construction and Architecture, 03037 Kyiv, Ukraine
1 shared publication - Yurii Andrashko
Department of System Analysis and Optimization Theory, Uzhhorod National University, 88000 Uzhhorod, Ukraine
1 shared publication
Latest Publications
- Open Access
- 20 October 2022
- Published by MDPI AG in Publications
- Vol. 10 (4) , 40
The Scientific Productivity of Collective Subjects Based on the Time-Weighted PageRank Method with Citation Intensity
This study aims to estimate the scientific productivity of collective subjects. The objective is to build a method for evaluating scientific productivity through calculation, including for new collective subjects with a small citation network—the paper proposes the Time-Weighted PageRank method with citation intensity (TWPR-CI). The Citation Network Dataset (ver. 13) has been analyzed to verify the method. The dataset includes more than 5 million scientific publications and 48 million citations. Four classes of collective subjects (more than 27,000 collective subjects in total) were established. For each class, scientific productivity estimates from 2000 to 2021 were calculated using the PageRank, Time-Weighted PageRank, and TWPR-CI methods. It is shown that the advantage of the TWPR-CI method is the higher sensitivity of the scientific productivity estimates for new collective subjects on average during the first ten years of observation. At the same time, the assessment of scientific productivity for other collective subjects according to this method is stable. However, the small citation network of the new collective subjects prevents the adequate assessment of scientific productivity during the first years of its operation. Therefore, the TWPR-CI method can be used to assess the scientific productivity of collective subjects, in particular the productivity of new ones.
- 20 October 2022
- Published by MDPI AG in Publications
- Vol. 10 (4) , 40
Open AccessThe Scientific Productivity of Collective Subjects Based on the Time-Weighted PageRank Method with Citation Intensity
This study aims to estimate the scientific productivity of collective subjects. The objective is to build a method for evaluating scientific productivity through calculation, including for new collective subjects with a small citation network—the paper proposes the Time-Weighted PageRank method with citation intensity (TWPR-CI). The Citation Network Dataset (ver. 13) has been analyzed to verify the method. The dataset includes more than 5 million scientific publications and 48 million citations. Four classes of collective subjects (more than 27,000 collective subjects in total) were established. For each class, scientific productivity estimates from 2000 to 2021 were calculated using the PageRank, Time-Weighted PageRank, and TWPR-CI methods. It is shown that the advantage of the TWPR-CI method is the higher sensitivity of the scientific productivity estimates for new collective subjects on average during the first ten years of observation. At the same time, the assessment of scientific productivity for other collective subjects according to this method is stable. However, the small citation network of the new collective subjects prevents the adequate assessment of scientific productivity during the first years of its operation. Therefore, the TWPR-CI method can be used to assess the scientific productivity of collective subjects, in particular the productivity of new ones.