Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Σφαιρική Ανασκόπηση με Υποβοήθηση VOSviewer× | Ανάλυση Βιβλιογραφικής Σύζευξης× | |
|---|---|---|
| Πεδίο≠ | Επιστημομετρία | Βιβλιομετρία |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2010s–present | 1963 |
| Δημιουργός≠ | Combination: Arksey & O'Malley (scoping review, 2005); van Eck & Waltman (VOSviewer, 2010) | Melvin M. Kessler |
| Τύπος≠ | Hybrid review methodology | Method |
| Θεμελιώδης πηγή≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | VOSviewer scoping review, bibliometric-enhanced scoping review, VOS-assisted scoping review, science-mapping scoping review | document coupling, bibliographic similarity |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | A VOSviewer-assisted scoping review integrates the structured, broad-mapping purpose of a scoping review with VOSviewer's bibliometric visualization capabilities. After standard database searching and eligibility screening, the retained records are exported to VOSviewer, which produces co-authorship, keyword co-occurrence, and citation-based cluster maps. These visual outputs guide thematic synthesis, reveal intellectual structure, and make the scope of a field immediately transparent. | Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords. |
| ScholarGateΣύνολο δεδομένων ↗ |
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