手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| VOSviewer支援サイエンスマッピング× | システマティック・レビュー× | |
|---|---|---|
| 分野 | 科学計量学 | 科学計量学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2010 | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| 提唱者≠ | Nees Jan van Eck & Ludo Waltman (Leiden University) | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| 種類≠ | Bibliometric mapping technique | Evidence synthesis methodology |
| 原典≠ | van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| 別名 | VOSviewer science mapping, bibliometric science mapping with VOSviewer, VOS-based science mapping, VOSviewer network mapping | SLR, systematic review, evidence synthesis review, structured literature review |
| 関連≠ | 6 | 5 |
| 概要≠ | VOSviewer-assisted science mapping uses the VOSviewer software — developed at Leiden University — to construct and visualize bibliometric networks from publication metadata. It applies the VOS (Visualization of Similarities) mapping technique to reveal intellectual structures in a research field: co-authorship networks, citation landscapes, keyword clusters, and thematic frontiers, all rendered as interactive, color-coded network maps that expose how concepts, authors, and journals are relationally positioned within a discipline. | A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic. |
| ScholarGateデータセット ↗ |
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