方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 科学计量分析× | 共词分析× | |
|---|---|---|
| 领域 | 科学计量学 | 科学计量学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1969 (term); 1963 (Price's foundational work) | 1983 |
| 提出者≠ | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) | Michel Callon, Jean-Pierre Courtial, and colleagues |
| 类型≠ | Quantitative literature analysis | Scientometric network analysis technique |
| 开创性文献≠ | Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka. link ↗ | Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. DOI ↗ |
| 别名 | scientometrics, science of science, quantitative science studies, research evaluation analysis | keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA |
| 相关 | 6 | 6 |
| 摘要≠ | Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads. | Co-word analysis is a scientometric technique that quantifies how often pairs of keywords, subject terms, or title words appear together across a corpus of publications. By treating simultaneous occurrence as a proxy for conceptual relatedness, it constructs networks and clusters that reveal the intellectual structure, dominant themes, and emerging sub-fields of a research domain. |
| ScholarGate数据集 ↗ |
|
|