Local (University) Rankings and Quality of Education: Identification of Publication Activity Indicators

Аrtyukhov, Аrtem; Dluhopolskyi, Oleksandr; Vasylieva, Тetiana; Lyeonov, Serhiy; Dluhopolska, Tetiana; Tsikh, Halyna

doi:10.1109/acit52158.2021.9548380

Cited by 11 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Based on the example of Brazilian higher education institutions, there was a study that identified the interaction between the higher school and the indigenous community (Costa & Figueira-Cardoso, 2022). As a result, it was found that the traditions of one or another community can freely coexist with classical approaches to the organization of the educational process and contribute to the development of innovative activity areas (Artyukhov et al, 2021;Artyukhov et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Quality of scientific activity as a determinant of socio-economic development

Didenko¹,

Valášková²,

Аrtyukhov³

et al. 2022

Economics &Amp; Sociology

Self Cite

View full text Add to dashboard Cite

The purpose of this work is to identify the functional links between key indicators of scientific activity and socio-economic development and to check whether the quality of scientific activity and the dynamics of innovative development are the key determinants of socio-economic progress. Following the chosen methodology, the paper forms an array of input data that characterizes the level of scientific and innovative activity, economic and social development. The principal component method is used to identify the most relevant indicators from each group and to introduce three latent variables that denote each group separately. A system of simultaneous structural equations is obtained as a result of establishing functional relationships between manifest and latent variables and building a structural model. In addition, the paper determines two clusters of the studied countries to confirm the obtained results through structural modelling. The study is conducted for 35 European countries based on 33 indicators, which characterize the quality of scientific activity, economic and social development during 2014-2020. The obtained system of structural equations confirms the hypothesis regarding the importance of scientific activity quality in terms of ensuring the socio-economic development of the country.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Quality of scientific activity as a determinant of socio-economic development

Didenko¹,

Valášková²,

Аrtyukhov³

et al. 2022

Economics &Amp; Sociology

Self Cite

View full text Add to dashboard Cite

show abstract

“…B. G., & Hernandez J. V. [1], Artyukhov A. [6], Vasylieva T., Lyeonov S. [3], [4], [5], Bruni R. at all [9], Buhaisi I., Damagh Al Z. [10], Liuta O.…”

Section: Literature Reviewmentioning

confidence: 99%

A Country’s Economic Growth and Rankings of Higher Education Institutions: Is There a Relationship?

Dreval¹,

Martynets²,

Opanasiuk³

et al. 2022

TEM Journal

View full text Add to dashboard Cite

The components of the chain of influence of the HEI ranking on the economic growth of the country are studied in the article. The relation between the keywords university, rankings and economic was found based on the bibliometric analysis. Based on correlation and regression analysis, there has been proved the relation between the components of interaction in the chain: Total overall ranking score of universities in the country – number of FTE students enrolled in country’s rated HEIs – number of country’s rated Universities – GDP of the country. The confirmation of the obtained calculations is a questionnaire survey carried out among the students of the HEIs. The results of the questionnaire survey indicate the existence of the influence of the HEI ranking on the number of students enrolled in educational institutions of the studied country. Thus, based on correlation and regression analysis and sociological research, the article proves the hypothesis about the existence of the influence of the HEI ranking on the economic growth of the country.

show abstract

“…The implementation of a fair ranking system for professors could enable students to make informed decisions about choosing a supervisor for their research projects and peruse their doctoral studies [3], [4]. The ability to objectively and systematically evaluate researchers is essential for the advancement of scientific knowledge and the promotion of scientific excellence [5], [6]. Thus, there is a long literary history of researchers' rankings [7], [8] [9].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effectiveness of Author-Count Based Metrics in Measuring Scientific Contributions

Ahmed,

Wang,

Mustafa

et al. 2023

IEEE Access

View full text Add to dashboard Cite

The assessment and evaluation of the academic influence of the researcher is a challenging task. This task allows the scientific community to make valuable decisions, such as identifying leading experts in a specific field, nominating candidates for scientific awards, awarding scholarships/grants, promoting researchers, and selecting tenure positions. Scientists have proposed various varied and multifaceted metrics to determine the most influential researchers. These metrics are the citation count, total number of publications, hybrid approaches, h-index, and variants of the h-index. Contemporary research in this domain shows that there is no universally accepted yardstick available for determining the finest parameter to recognize the most influential researcher within a particular domain. Moreover, to recognize the potential metric, some researchers have conducted evaluation surveys. In these evaluation surveys, the researchers utilized a limited number of indices on a small and imbalanced dataset as well as on fictional case scenarios, which makes it challenging to determine the significance and influence of each metric over the others. The present study computed fourteen distinct metrics based on the author-count. Our aim is to determine the potential metrics. For experimental purposes, we collected 1050 researchers' data from the mathematics domain. For the benchmark dataset, we have collected the awardee's data of the last three decades of four different societies of mathematics domain. To evaluate these metrics, we first computed the Spearman correlations among the obtained values of these metrics to assess their similarities and differences. The results showed a high degree of correlation among these metrics. However, some metrics represent weak correlations, signifying that their rankings are highly dissimilar to those of the other metrics. Furthermore, the position of award winners is checked in the top 10, 50, and 100 return records based on a ranked list of each metric. The potential value of each metric such as the hf metric, indicates that 60% of the awardees in the top 10% of the ranked list are associated with this, whereas the potential value of fractional g metric is linked with 49% of the awardees in the top 100% of the ranked list. In addition, it is further scrutinized that most of the award winners lie in a top position belonging to IMS, LMS, and AMS society return by fractional g-index, gf index, and gm index, which indicates that there is some relationship between these societies and metrics.

show abstract

Local (University) Rankings and Quality of Education: Identification of Publication Activity Indicators

Cited by 11 publications

References 8 publications

Quality of scientific activity as a determinant of socio-economic development

Quality of scientific activity as a determinant of socio-economic development

A Country’s Economic Growth and Rankings of Higher Education Institutions: Is There a Relationship?

Evaluating the Effectiveness of Author-Count Based Metrics in Measuring Scientific Contributions

Contact Info

Product

Resources

About