The Scientific Productivity of Collective Subjects Based on the Time-Weighted PageRank Method with Citation Intensity


Kuchansky A. Biloshchytskyi A. Andrashko Y. Biloshchytska S. Faizullin A.
December 2022MDPI

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2022#10Issue 4

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.

citation intensity , collective subjects , PageRank , research productivity , scientific research , scientometrics , Time-Weighted PageRank

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Department of Information Systems and Technology, Taras Shevchenko National University of Kyiv, Kyiv, 01601, Ukraine
Department of Cybersecurity and Computer Engineering, Kyiv National University of Construction and Architecture, Kyiv, 03680, Ukraine
Administration, Astana IT University, Astana, 010000, Kazakhstan
Department of Information Technology, Kyiv National University of Construction and Architecture, Kyiv, 03680, Ukraine
Department of System Analysis and Optimization Theory, Uzhhorod National University, Uzhhorod, 88000, Ukraine
Department of Computer Technology and Data, Astana IT University, Astana, 010000, Kazakhstan
Department of Quality Assurance, Astana IT University, Astana, 010000, Kazakhstan

Department of Information Systems and Technology
Department of Cybersecurity and Computer Engineering
Administration
Department of Information Technology
Department of System Analysis and Optimization Theory
Department of Computer Technology and Data
Department of Quality Assurance

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