Scientometric analysis of the emerging technology landscape

被引:0
|
作者
I'Anson, Ian [1 ]
机构
[1] Def Sci & Technol Lab, Ft Halstead TN14 7BP, England
关键词
Scientometrics; technology watching; forecasting;
D O I
暂无
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
For researchers and decision makers in any technical domain, understanding the state of their area of interest is of critical importance. This, landscape. of emerging technologies is constantly evolving, and the sheer scale of research publication output in the modern era makes qualitative review increasingly difficult. Scientometric analysis is a valuable tool for the quantitative analysis of research output, and is employed by the Defence Science and Technology Laboratory (Dstl) Knowledge and Information Services in support of our research activities, for applications including identifying opportunities for academic collaboration, and technology watching/forecasting to identify emerging technologies and opportunities that may have implications for UK Defence. This paper provides an overview of our approach to conducting scientometric analysis of research papers and patent submissions. The methods for extracting and disambiguating publications are described, and the qualitative inferences we seek to make, along with some of the associated limitations and potential pitfalls are also discussed.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 50 条
  • [31] Scientometric Analysis: An Emerging Tool in Veterinary and Animal Scientific Research
    Vaitsi, Georgia A.
    Bourganou, Maria V.
    Lianou, Daphne T.
    Kiouvrekis, Yiannis
    Michael, Charalambia C.
    Gougoulis, Dimitris A.
    Fthenakis, George C.
    ANIMALS, 2024, 14 (21):
  • [32] Emerging Trends in Sports and Artificial Intelligence: A Scientometric Analysis in Citespace
    Ren, Yue
    Wang, Shaowei
    Wang, Xiangyu
    Chu, Jun
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (02) : 1897 - 1910
  • [33] The knowledge domain and emerging trends in phytoremediation: a scientometric analysis with CiteSpace
    Zhang, Yu
    Li, Chen
    Ji, Xiaohui
    Yun, Chaole
    Wang, Maolin
    Luo, Xuegang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (13) : 15515 - 15536
  • [34] The knowledge domain and emerging trends in phytoremediation: a scientometric analysis with CiteSpace
    Yu Zhang
    Chen Li
    Xiaohui Ji
    Chaole Yun
    Maolin Wang
    Xuegang Luo
    Environmental Science and Pollution Research, 2020, 27 : 15515 - 15536
  • [35] Emerging Themes and Research Frontiers in Suicide Prediction: A Scientometric Analysis
    Abraham, Kochumol
    Anish, K. R.
    Sony, Greety
    Francis, P. Nice Mary
    Babu, Jobi
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (06)
  • [36] Knowledge Domain and Emerging Trends on Echinococcosis Research: A Scientometric Analysis
    Ma, Xingming
    Zhang, Lifeng
    Wang, Jingqiu
    Luo, Yanping
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (05)
  • [37] The knowledge domain and emerging trends in Behavioral Finance: A Scientometric Analysis
    Hachicha, Fatma
    Argoubi, Majdi
    Guesmi, Khaled
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2024, 70
  • [38] Scientometric Analysis of Global Publication Output in Mobile Technology
    Kumar, R. Santha
    Kaliyaperumal, K.
    DESIDOC JOURNAL OF LIBRARY & INFORMATION TECHNOLOGY, 2015, 35 (04): : 287 - 292
  • [39] Technostress Dark Side of Technology in the Workplace: A Scientometric Analysis
    Bondanini, Giorgia
    Giorgi, Gabriele
    Ariza-Montes, Antonio
    Vega-Munoz, Alejandro
    Andreucci-Annunziata, Paola
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (21) : 1 - 25
  • [40] The landscape of hot topics and research frontiers in Kawasaki disease: Scientometric analysis
    Li, Mengling
    Zheng, Zaiyong
    Yi, Qijian
    HELIYON, 2024, 10 (08)