The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A brief survey of automatic methods for author name disambiguation
Open accessAbstract
Name ambiguity in the context of bibliographic citation records is a hard problem that affects the quality of services and content in digital libraries and similar systems. The challenges of dealing with author name ambiguity have led to a myriad of disambiguation methods. Generally speaking, the proposed methods usually attempt to group citation records of a same author by finding some similarity among them or try to directly assign them to their respective authors. Both approaches may either exploit supervised or unsupervised techniques. In this article, we propose a taxonomy for characterizing the current author name disambiguation methods described in the literature, present a brief survey of the most representative ones and discuss several open challenges.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
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Jain, A. K., Murty, M. N., & Flynn, P. J. (1999) · ACM Computing Surveys · doi:10.1145/331499.331504 · Cited by 13,199
Griffiths, T. L., & Steyvers, M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307752101 · Cited by 6,049
A comparison of string distance metrics for name-matching tasks
Cohen, W. W., Ravikumar, P., & Fienberg, S. E. (2003) · Cited by 1,371
Large margin classification using the perceptron algorithm
Freund, Y., & Schapire, R. E. (1998) · Proceedings of the eleventh annual conference on Computational learning theory · doi:10.1145/279943.279985 · Cited by 1,071
Large Margin Classification Using the Perceptron Algorithm
Freund, Y., & Schapire, R. E. (1999) · Machine Learning · doi:10.1023/a:1007662407062 · Cited by 604
Collective entity resolution in relational data
Bhattacharya, I., & Getoor, L. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217304 · Cited by 593
Cited by
The citation advantage of linking publications to research data
Colavizza, G., Hrynaszkiewicz, I., Staden, I., Whitaker, K., & McGillivray, B. (2020) · PLOS ONE · doi:10.1371/journal.pone.0230416 · Cited by 335
Accuracy Evaluation of Scopus Author ID Based on the Largest Funding Database in Japan
Kawashima, H., & Tomizawa, H. (2015) · Scientometrics · doi:10.1007/s11192-015-1580-z · Cited by 79
Kim, J., Kim, J., & Kim, J. (2023) · Journal of Information Science · doi:10.1177/01655515211018171 · Cited by 9
Metadata
- Authors
- Ferreira, A. A., Gonçalves, M. A., & Laender, A. H. F.
- Venue
- ACM SIGMOD Record
- Published
- 2012-08-17
- Volume
- 41
- Issue
- 2
- Pages
- 15-26
- ISSN
- 0163-5808 (ISSN-L)
- OpenAlex
- W2129558264
- Cited by
- 293
- References
- 33
- FWCI
- 26.26
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A brief survey of automatic methods for author name disambiguation. https://app.cochat.ai/papers/10.1145/2350036.2350040
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- Ferreira, A. A., Gonçalves, M. A., & Laender, A. H. F. (2012). A brief survey of automatic methods for author name disambiguation. ACM SIGMOD Record. https://doi.org/10.1145/2350036.2350040
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
