Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Facteur d'Impact des Revues× | SCImago Journal Rank× | |
|---|---|---|
| Domaine | Bibliométrie | Bibliométrie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1955 | 2010 |
| Auteur d'origine≠ | Eugene Garfield, Institute for Scientific Information (ISI) | SCImago Group (Spanish research consortium) |
| Type | Metric | Metric |
| Source fondatrice≠ | Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471-479. DOI ↗ | González-Pereira, B., Guerrero-Bote, V. P., & Moya-Anegón, F. (2010). The SJR indicator: A new indicator of journals' scientific prestige. Scientometrics, 82(2), 391-400. link ↗ |
| Alias≠ | IF, JIF, Impact Factor, 2-year Impact Factor | SJR, SCImago Journal Rank, Prestige-weighted impact |
| Apparentées | 5 | 5 |
| Résumé≠ | Journal Impact Factor (JIF) is a metric developed by Eugene Garfield in 1955 and published annually by Clarivate Analytics through Journal Citation Reports (JCR). It measures the average citation frequency of articles published in a journal over a two-year window, serving as a proxy for journal prestige and influence. A journal's Impact Factor equals the number of citations received in year Y to articles published in Y-1 and Y-2, divided by the number of citable items published in that same window. Despite widespread adoption in research evaluation, Impact Factor has significant limitations and critics argue it conflates journal prestige with article quality. | SCImago Journal Rank (SJR) is a prestige-weighted metric measuring journal citation impact based on Scopus data, developed by SCImago Group (a Spanish research consortium) in 2010. Unlike raw citation counts, SJR values citations from high-prestige journals more heavily than those from lower-prestige journals, similar to Google's PageRank algorithm. This prestige weighting approach accounts for field-specific citation cultures and provides fairer cross-discipline comparisons than raw impact factor. SJR is widely used for journal ranking, quality assessment, and publication targeting, complementing traditional Impact Factor with a prestige dimension. |
| ScholarGateJeu de données ↗ |
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