A Bibliometric Analysis on Model-based Systems Engineering

被引：3

作者：

Li, Zihang ^{[1
]}

Lu, Jinzhi ^{[2
]}

Wang, Guoxin ^{[1
]}

Feng, Lei ^{[3
]}

Broo, Didem Gurdur ^{[4
]}

Kiritsis, Dimitris ^{[2
]}

机构：

[1] Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China

[2] EPFL Ecole Polytech Fed Lausanne, ICT4SM Lab, Lausanne, Switzerland

[3] KTH Royal Inst Technol, Unit Mechatron & Embedded Control Syst, Stockholm, Sweden

[4] Univ Cambridge, Ctr Digital Built Britain, Ctr Smart Infrastruct, Laing ORourke Ctr Construct Engn & Technol, Cambridge, England

来源：

7TH IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (IEEE ISSE 2021) | 2021年

关键词：

Model-based Systems Engineering (MBSE); Bibliometric analysis; VOSViewer;

D O I：

10.1109/ISSE51541.2021.9582526

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Model-based systems engineering (MBSE) has been accepted as an extremely important approach to understanding the multi-domain research field comprehensively. In this paper, a bibliometric analysis is used to conduct a comprehensive survey of model-based systems engineering literature of the last five years. The VOSViewer is used to implement visual network analysis for co-authorship, citation, and co-occurrence of the MBSE related papers. The results of the bibliometric study, firstly, reveal the influential research teams and sources. Secondly, research hotspots in the current MBSE domain are identified. The findings of this study aim to help researchers to gain a faster and deeper understanding of the current literature on MBSE.

引用

页数：8

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