เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์บรรณสารปริมาณ (Scientometric Analysis)× | การวิเคราะห์คำร่วม× | |
|---|---|---|
| สาขาวิชา | วิทยาศาสตรมิติ | วิทยาศาสตรมิติ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1969 (term); 1963 (Price's foundational work) | 1983 |
| ผู้ริเริ่ม≠ | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) | Michel Callon, Jean-Pierre Courtial, and colleagues |
| ประเภท≠ | Quantitative literature analysis | Scientometric network analysis technique |
| แหล่งต้นตำรับ≠ | 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 ↗ |
| ชื่อเรียกอื่น | scientometrics, science of science, quantitative science studies, research evaluation analysis | keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA |
| ที่เกี่ยวข้อง | 6 | 6 |
| สรุป≠ | 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. |
| ScholarGateชุดข้อมูล ↗ |
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