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Corrigendum to “BiblioMerge: A Python-based automated tool to merge WoS and Scopus bibliographic data, compatible with Biblioshiny, BibExcel, VOSviewer, SciMAT and ScientoPy” [Journal of Informetrics, Volume 20, Issue 1, 2026, 1-21, 101770]

David Diez-Junguitu & Miguel A. Peña-Cerezo

Journal of Informetrics2026https://doi.org/10.1016/j.joi.2026.101782article
AJG 1
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0.50

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https://doi.org/https://doi.org/10.1016/j.joi.2026.101782

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@article{david2026,
  title        = {{Corrigendum to “BiblioMerge: A Python-based automated tool to merge WoS and Scopus bibliographic data, compatible with Biblioshiny, BibExcel, VOSviewer, SciMAT and ScientoPy” [Journal of Informetrics, Volume 20, Issue 1, 2026, 1-21, 101770]}},
  author       = {David Diez-Junguitu & Miguel A. Peña-Cerezo},
  journal      = {Journal of Informetrics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.joi.2026.101782},
}

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Corrigendum to “BiblioMerge: A Python-based automated tool to merge WoS and Scopus bibliographic data, compatible with Biblioshiny, BibExcel, VOSviewer, SciMAT and ScientoPy” [Journal of Informetrics, Volume 20, Issue 1, 2026, 1-21, 101770]

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.