Motivational Model of Student Performance for Educational Training Programs for Specialists with Higher Engineering Education for Transport

Timoshek, Igor; Timoshek, Pavel

doi:10.1007/978-3-031-21219-2_340

Cited by 1 publication

(1 citation statement)

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“…Связь будущих научных разработок с уже существующими является фундаментом всей академической исследовательской деятельности, поэтому научный обзор работ, ведущих ученых остается актуальным во все времена [1,2]. Без этого сложно идти в ногу с новейшими исследованиями, а также адекватно оценивать новизну и степень проработанности тематики собственного научного исследования [3][4][5].…”

Section: Introductionunclassified

Social network analysis of foreign research in the field of automation of cargo container transportation

Petrova,

Gannesen,

Malikova

2024

JWT

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The relevance of the topic is caused by the following. Improving automation and digitalization of technological processes of transshipment complexes is one of the priorities for development of maritime and river transport in the Russian Federation in the coming years. The importance of scientific research aimed at finding solutions to this problem, undoubtedly, increases already accumulated knowledge and the rate of emergence of new ones in this area. As a result, there is a need to update and systematize newly obtained theoretical and practical developments in review studies, which undoubtedly form the foundation of all academic research activities, as they are aimed at identifying current problems and links of future scientific developments with existing ones. The work analyzes the scientific area research in the field of automation of technological processes of container terminals regarding the dominant thematic areas of foreign scientific schools over the past ten years. The source of information flow for the analysis was secondary open scientific data posted in the GoogleScholar system. The objectives of the study included searching for publications corresponding to the stated topic, clustering the authors of these articles based on the principle of co-authorship, identifying scientists who contributed most to the new scientific developments, determining the scientific interests of researchers by analyzing the texts of their scientific works. The method of edge clustering, as well as structural and positional analyses were used to solve the tasks. As a result, a network graph was generated for the authorship of scientific works, a cross-citation graph of scientific publications, as well as a graph for comparing the research results of scientists with one of the thematic directions of the subject area of research. Graph construction and analysis were performed using Gephi software.

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Section: Introductionunclassified