Bibliometric Mining of Research Trends for Smart Cities

被引:0
|
作者
Lundberg, Lars [1 ]
机构
[1] Blekinge Inst Technol, Dept Comp Sci, S-37179 Karlskrona, Sweden
关键词
smart cities; bibliometric study; Scopus; trends; research directions; geographic distribution;
D O I
10.1109/SMARTCOMP61445.2024.00068
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Using a novel method and tool in the form of a Python program, we present a bibliometric study based oil 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.
引用
收藏
页码:278 / 283
页数:6
相关论文
共 50 条
  • [1] Bibliometric Analysis on Smart Cities Research
    Guo, Yi-Ming
    Huang, Zhen-Ling
    Guo, Ji
    Li, Hua
    Guo, Xing-Rong
    Nkeli, Mpeoane Judith
    [J]. SUSTAINABILITY, 2019, 11 (13)
  • [2] Data Mining Algorithms for Smart Cities: A Bibliometric Analysis
    Kousis, Anestis
    Tjortjis, Christos
    [J]. ALGORITHMS, 2021, 14 (08)
  • [3] Bibliometric Mining of Research Trends in Machine Learning
    Lundberg, Lars
    Boldt, Martin
    Borg, Anton
    Grahn, Hakan
    [J]. AI, 2024, 5 (01) : 208 - 236
  • [4] A bibliometric and scientometric review of research on crowdsourcing in smart cities
    Jiang, Youtao
    Guo, Bowen
    Zhang, Xunda
    Tian, Hongxin
    Wang, Yue
    Cheng, Ming
    [J]. IET SMART CITIES, 2023, 5 (01) : 1 - 18
  • [5] Social media mining for smart cities and smart villages research
    Miltiadis D. Lytras
    Anna Visvizi
    Jari Jussila
    [J]. Soft Computing, 2020, 24 : 10983 - 10987
  • [6] Social media mining for smart cities and smart villages research
    Lytras, Miltiadis D.
    Visvizi, Anna
    Jussila, Jari
    [J]. SOFT COMPUTING, 2020, 24 (15) : 10983 - 10987
  • [7] Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities
    Harnal, Shilpi
    Sharma, Gaurav
    Malik, Swati
    Kaur, Gagandeep
    Khurana, Savita
    Kaur, Prabhjot
    Simaiya, Sarita
    Bagga, Deepak
    [J]. EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2022, 9 (04)
  • [8] Bibliometric mining of research directions and trends for big data
    Lars Lundberg
    [J]. Journal of Big Data, 10
  • [9] Bibliometric mining of research directions and trends for big data
    Lundberg, Lars
    [J]. JOURNAL OF BIG DATA, 2023, 10 (01)
  • [10] Smart Asphalt Mixtures: A Bibliometric Analysis of the Research Trends
    Segundo, Iran Gomes da Rocha
    Margalho, Elida Melo
    Lima, Orlando de Sousa
    Pinheiro, Claver Giovanni da Silveira
    de Freitas, Elisabete Fraga
    Carneiro, Joaquim Alexandre S. A. Oliveira
    [J]. COATINGS, 2023, 13 (08)