Cited by 85scientometrics and bibliometrics researchAutonomous Vehicle Technology and SafetyPsychology Research and Bibliometrics

Mapping Two Decades of Autonomous Vehicle Research: A Systematic Scientometric Analysis

Faisal, Asif, Yigitcanlar, Tan, Kamruzzaman, Md., Paz, Alexander·2021·Journal of Urban Technology

Abstract

Autonomous vehicles (AV) have become a symbol of futuristic and intelligent transport innovation. This new driving technology has received heightened attention from academic, public, and private sectors. Nonetheless, a big challenge limiting a clear understanding of AV research is its scale. A large volume of literature is produced—covering various fields. This paper aims to map out the research on AV for a better understanding of the trends, patterns, and interconnections, and it critically reflects on their implications for research. A scientometric analysis technique is applied to analyze 4,645 papers published between 1998 and 2017. The findings disclose that (a) 87.7 percent of the AV studies was conducted by educational institutes; (b) Europe is the most productive continent in AV research with a 35.9 percent share of publications; (c) North America is the most influential continent in AV research, receiving 41.1 percent of the citations; (d) Over 50 percent of the studies were conducted during the last three years of the analysis period; (e) Urban and social contexts of AV research are still at their early stage; and (f) Relatively limited collaboration and knowledge sharing between academia and industry exist.

Integrity signals

Registry

Crossref · 10.1080/10630732.2020.1780868

Cites

85 of 85 references verified0 citation errors · 0 not checkable

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  • AI applications are being used in areas ranging from marketing to banking and finance, from agriculture to healthcare and security, from space exploration to robotics and transport, and from chatbots to artificial creativity and manufacturing.

    “AI applications are being used in areas ranging from marketing to banking and finance, from agriculture to healthcare and security, from space exploration to robotics and transport, and from chatbots to artificial creativity and manufacturing [6,7].”

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1 of the 86 references couldn’t be matched to a known paper.

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Authors
Faisal, A., Yigitcanlar, T., Kamruzzaman, M., & Paz, A.
Affiliations
  • Queensland University of Technology (AU)
  • School of Built Environment, Queensland University of Technology, Australia
Venue
Journal of Urban Technology
Published
2020-08-11
Volume
28
Issue
3-4
Pages
45-74
ISSN
  • 1063-0732 (ISSN-L)
  • 1466-1853
OpenAlex
W3037903581
Cited by
85
References
86
Citations by year
2026: 6 · 2025: 17 · 2024: 14 · 2023: 10 · 2022: 21 · 2021: 7 · 2020: 9 · 2013: 1
FWCI
7.17
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Urban Technology (publishedVersion)
  • QUT ePrints (Queensland University of Technology) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords
autonomous vehicles, research trends, research collaboration, academia-industry collaboration, citation analysis, urban mobility

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