Bibliometric Mining of Research Trends for Smart Cities
2024 (English)In: Proceedings - 2024 IEEE International Conference on Smart Computing, SMARTCOMP 2024, Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 278-283Conference paper, Published paper (Refereed)
Abstract [en]
Using a novel method and tool in the form of a Python program, we present a bibliometric study based on 46,937 documents related to smart cities from the Scopus database. The study identifies important research directions and trends during the time period 2014 to 2023. We also present the growth of smart city research for five geographic regions. Citation analysis for research directions and regions is also performed. The results show that smart city research in general stopped growing around 2019. However, some research directions are still growing, e.g., smart city research related to machine learning and AI. India is the only geographic region where smart city research still is growing. We also see that the number of citations of a smart city document from North America is on average a factor 3.74 larger than the number of citations to a document from India. © 2024 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 278-283
Keywords [en]
bibliometric study, geographic distribution, research directions, Scopus, smart cities, trends, Computer software, Geographical distribution, Bibliometric, Geographics, Novel methods, Research direction, Research trends, Scopus database, Trend, Smart city
National Category
Computer Sciences Information Studies Human Geography
Identifiers
URN: urn:nbn:se:bth-26824DOI: 10.1109/SMARTCOMP61445.2024.00068ISI: 001284744200060Scopus ID: 2-s2.0-85200787140ISBN: 9798350349948 (print)OAI: oai:DiVA.org:bth-26824DiVA, id: diva2:1889587
Conference
2024 IEEE International Conference on Smart Computing, SMARTCOMP 2024, Osaka, June 29- July 02 2024
2024-08-162024-08-162024-09-11Bibliographically approved