Abstract

Computer-Aided Civil And Infrastructure Engineering (CACAIE) is an international journal, and the first documents was published from 1980. This article is to make an overview based on bibliometric analysis to celebrate the 35th anniversary of CACAIE till 2019. At present, 1045 publications can be indexed in the Clarivate Analytics Web of Science (WoS) from 2000 to 2019, and we explore the characteristics of these publications by bibliometric methods and tools (VOSviewer and CiteSpace). First, the fundamental information of publications is given with the help of some bibliometric indicators, such as the number of citations and h-index. According to high-citing and high-cited publications, we analyse that who pays closer attention to the journal and what the journal most focuses on considering sources, countries/regions, institutions and authors. After that, the influential countries/regions and references are presented, and collaboration networks are given to show the relationship among countries/regions, institutions and authors. In order to understand the development trends and hot topics, co-occurrence analysis and timeline view of keywords are made to be visual. In addition, publications in four fields – Construction & Building Technology; Engineering, Civil; Transportation Science & Technology; Computer Science, Interdisciplinary Applications – that CACAIE refers are summarized, and further discussions are made for the journal and scholars. Finally, some main findings are concluded according to all analysis. This article provides a certain reference for scholars and journals to further research and promote the scientific-technological progress.

Highlights

  • Computer-Aided Civil And Infrastructure Engineering (CACAIE) is an international authority journal that is intended to act as a bridge between advances being made in computer technology and civil and infrastructure engineering

  • The most influential countries/regions and references are obtained during past 20 years; – landscape analysis is given to show the relationships of items in publications by collaboration networks at levels of country/region, institution and authors, and co-occurrence and timeline view of keywords; – researches in CACAIE are summarized for scholars to further study effectively and scientifically in relevant fields, i.e., Construction & Building Technology; Engineering, Civil; Transportation Science & Technology; Computer Science, Interdisciplinary Applications; – further discussions are addressed from three aspects based on the characteristics and research contents

  • We make an overview of an outstanding journal CACAIE based on bibliometric analysis from 2000 to 2019

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Summary

Introduction

Computer-Aided Civil And Infrastructure Engineering (CACAIE) is an international authority journal (print ISSN: 1093-9687 / online ISSN: 1467-8667) that is intended to act as a bridge between advances being made in computer technology and civil and infrastructure engineering. Due to that CACAIE is a top journal in four fields attracted by many scholars and has been published documents for 35 years, a bibliometric analysis of the journal is necessary and meaningful to overview the characteristics and research contents of publications. The most influential countries/regions and references are obtained during past 20 years; – landscape analysis is given to show the relationships of items in publications by collaboration networks at levels of country/region, institution and authors, and co-occurrence and timeline view of keywords; – researches in CACAIE are summarized for scholars to further study effectively and scientifically in relevant fields, i.e., Construction & Building Technology; Engineering, Civil; Transportation Science & Technology; Computer Science, Interdisciplinary Applications; – further discussions are addressed from three aspects based on the characteristics and research contents.

Data source and bibliometric methods
Characteristics of publications in the journal
Fundamental information of publications
Part C: Emerging
68 Engineering and
59 Engineering Structures
10 Engineering Optimization
Co-occurrence and timeline view of keywords
Research in relevant fields
Further discussions
Conclusions
Full Text
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