Journal of the Association for Information Science and Technology · 2015 · 58 citations · 16 references
ManagementComputer ScienceInformation RetrievalMeta-analysisText AnalyticsBibliometric AnalysisCitation NetworksCitation PracticesMatching MethodsText Similarity AnalysisBibliometric CouplingCitation-based RetrievalMatching AlgorithmsReference TypesResearch Performance Assessment
Bibliometric studies by CWTS and iFQ rely on Web of Science citation data, yet nonmatched citations caused by reference inaccuracies persist, underscoring the need to evaluate how well their matching algorithms correct these errors. The study evaluates CWTS and iFQ citation‑matching algorithms against Web of Science using quantitative and qualitative analyses. The evaluation employs a method based on a manually verified corpus from a prior study to conduct these comparisons. CWTS’s algorithm outperforms iFQ, while Web of Science remains strong (F1 = 96.41%) yet still struggles with inaccurately cited references.
The results of bibliometric studies provided by bibliometric research groups, for example, the C entre for S cience and T echnology Studies ( CWTS ) and the I nstitute for R esearch I nformation and Q uality A ssurance (i FQ ), are often used in the process of research assessment. Their databases use W eb of Science ( WoS ) citation data, which they match according to their own matching algorithms—in the case of CWTS for standard usage in their studies and in the case of i FQ on an experimental basis. Because the problem of nonmatched citations in the WoS persists due to inaccuracies in the references or inaccuracies introduced in the data extraction process, it is important to ascertain how well these inaccuracies are rectified in these citation matching algorithms. This article evaluates the algorithms of CWTS and i FQ in comparison to the WoS in a quantitative and a qualitative analysis. The analysis builds upon the method and the manually verified corpus of a previous study. The algorithm of CWTS performs best, closely followed by that of i FQ . The WoS algorithm still performs quite well ( F 1 score: 96.41%), but shows deficits in matching references containing inaccuracies. An additional problem is posed by incorrectly provided cited reference information in source articles by the WoS .
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Comparing bibliometric statistics obtained from the Web of Science and Scopus
Éric Archambault, David Campbell, Yves Gingras et al. · Journal of the American Society for Information Science and Technology · 2009 · 791 citations · Full text
Management, Comparative Literature, Comparative Area Studies +10
Lokman I. Meho, Yvonne Rogers · Journal of the American Society for Information Science and Technology · 2008 · 351 citations