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the claim

Multiple academic authors share identical full names across published literature databases.

the verdict
SUPPORTED
the evidence backs this
Recorded sources
7 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that multiple academic authors share identical full names across published literature databases?

Yes. Multiple academic authors sharing identical names across published literature databases is a well-documented challenge in bibliometrics, driving extensive research into author name disambiguation algorithms.

Verdict: SUPPORTED · 7 sources for, 0 against · Last checked

The analysis

Judged against the evidence record for claims of this kind.

Evidence for · 7
A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments
2011
Addresses author name disambiguation in bibliometrics, which is necessary precisely because multiple authors share identical names in research databases.
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D’Angelo, C., Giuffrida, C., & Abramo, G. (2011). A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments. peer-reviewed literature. https://doi.org/10.1002/asi.21460

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More for · 6
Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation
2020
Discusses the challenge of author name disambiguation in bibliometrics, confirming that distinguishing between different individuals with the same name is an important task.
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D’Angelo, C. & Eck, N. J. v. (2020). Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation. peer-reviewed literature. https://doi.org/10.1007/s11192-020-03410-y

A Web Service for Author Name Disambiguation in Scholarly Databases
2018
Notes that author name disambiguation is required to cluster unique author names from publication records because name ambiguity is a known issue in scholarly databases.
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Kim, K., Sefid, A., Weinberg, B. A., & Giles, C. L. (2018). A Web Service for Author Name Disambiguation in Scholarly Databases. peer-reviewed literature. https://doi.org/10.1109/ICWS.2018.00041

The Impact of Name Ambiguity on Properties of Coauthorship Networks
2014
Examines how initial-based name ambiguity affects coauthorship networks, confirming that name collisions occur in scholarly databases.
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Kim, J., Kim, H., & Diesner, J. (2014). The Impact of Name Ambiguity on Properties of Coauthorship Networks. peer-reviewed literature. https://doi.org/10.1633/JISTAP.2014.2.2.1

Author name disambiguation based on heterogeneous graph neural network
2025
States that the situation of authors sharing the same name in literature databases is intensifying with the growing number of publications.
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Wang, G., Sun, Z., Hu, W., & Cai, M. (2025). Author name disambiguation based on heterogeneous graph neural network. peer-reviewed literature. https://doi.org/10.1371/journal.pone.0310992

Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards
2025
Notes that methodological inconsistencies in author name disambiguation persist across studies exploring scholarly metrics.
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Lee, H., Mishra, S., Mishra, A., You, Z., Kim, J., & Diesner, J. (2025). Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards. peer-reviewed literature. https://doi.org/10.48550/arXiv.2501.18129

Author Name Disambiguation Based on Heterogeneous Graph
2023
Explains that multiple people share the same name in the real world and in academic databases, leading to performance degradation and misattribution.
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Ma, C. M. C. & Ma, H. X. C. (2023). Author Name Disambiguation Based on Heterogeneous Graph. peer-reviewed literature. https://doi.org/10.53106/199115992023083404004

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first checked06 Aug 2026
judged → SUPPORTED · 8906 Aug 2026
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