A Bibliometric Model for Identifying Emerging Research Topics

被引:87
|
作者
Wang, Qi [1 ,2 ]
机构
[1] Aarhus Univ, Danish Ctr Studies Res & Res Policy, Aarhus, Denmark
[2] KTH Royal Inst Technol, INDEK, Stockholm, Sweden
基金
欧洲研究理事会;
关键词
RESEARCH FRONTS; REGENERATIVE MEDICINE; NETWORK ANALYSIS; TECHNOLOGIES; TRENDS; DYNAMICS; EMERGENCE; PATTERNS; FIELDS;
D O I
10.1002/asi.23930
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Detecting emerging research topics is essential, not only for research agencies but also for individual researchers. Previous studies have created various bibliographic indicators for the identification of emerging research topics. However, as indicated by Rotolo et al. (Research Policy 44, 1827-1843, ), the most serious problems are the lack of an acknowledged definition of emergence and incomplete elaboration of the linkages between the definitions that are used and the indicators that are created. With these issues in mind, this study first adjusts the definition of an emerging technology that Rotolo et al. (2015) have proposed to accommodate the analysis. Next, a set of criteria for the identification of emerging topics is proposed according to the adjusted definition and attributes of emergence. Using two sets of parameter values, several emerging research topics are identified. Finally, evaluation tests are conducted by demonstration of the proposed approach and comparison with previous studies. The strength of the present methodology lies in the fact that it is fully transparent, straightforward, and flexible.
引用
收藏
页码:290 / 304
页数:15
相关论文
共 50 条
  • [21] Generating process of emerging topics in the life sciences
    Ohniwa, Ryosuke L.
    Hibino, Aiko
    SCIENTOMETRICS, 2019, 121 (03) : 1549 - 1561
  • [22] Bibliometric indicators to identify emerging research fields: publications on mass gatherings
    Gonzalez-Alcaide, Gregorio
    Llorente, Pedro
    Ramos, Jose M.
    SCIENTOMETRICS, 2016, 109 (02) : 1283 - 1298
  • [23] Topics, author profiles, and collaboration networks in the Journal of Research on Technology in Education: A bibliometric analysis of 20 years of research
    Wilson, Matthew L.
    JOURNAL OF RESEARCH ON TECHNOLOGY IN EDUCATION, 2024, 56 (03) : 291 - 313
  • [24] Local bilateral clustering for identifying research topics and groups from bibliographical data
    Sara Elena Garza Villarreal
    Satu Elisa Schaeffer
    Knowledge and Information Systems, 2016, 48 : 179 - 199
  • [25] Local bilateral clustering for identifying research topics and groups from bibliographical data
    Garza Villarreal, Sara Elena
    Elisa Schaeffer, Satu
    KNOWLEDGE AND INFORMATION SYSTEMS, 2016, 48 (01) : 179 - 199
  • [26] Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques
    Rejeb, Abderahman
    Rejeb, Karim
    Treiblmaier, Horst
    INFORMATION, 2023, 14 (07)
  • [27] A clinical review of inhalation anesthesia with sevoflurane: from early research to emerging topics
    Jorge D. Brioni
    Shane Varughese
    Raza Ahmed
    Berthold Bein
    Journal of Anesthesia, 2017, 31 : 764 - 778
  • [28] A clinical review of inhalation anesthesia with sevoflurane: from early research to emerging topics
    Brioni, Jorge D.
    Varughese, Shane
    Ahmed, Raza
    Bein, Berthold
    JOURNAL OF ANESTHESIA, 2017, 31 (05) : 764 - 778
  • [29] A Topic-Based Bibliometric Review of Computers in Human Behavior: Contributors, Collaborations, and Research Topics
    Chen, Xieling
    Zou, Di
    Xie, Haoran
    Cheng, Gary
    SUSTAINABILITY, 2021, 13 (09)
  • [30] A bibliometric evaluation and visualization of global solar power generation research: productivity, contributors and hot topics
    Lyu, Xiaozan
    Ruan, Tianqi
    Wang, Wujun
    Cai, Xiaojing
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (05) : 8274 - 8290