The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Adaptive methods for the computation of PageRank
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Citations
Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Self-citationHaveliwala, T. H. (2002) · Proceedings of the 11th international conference on World Wide Web · doi:10.1145/511446.511513 · Cited by 1,567
Self-citation
Research works printed but not linked: 5
- T.H. Haveliwala, S.D. Kamvar, The second eigenvalue of the Google matrix, Stanford University Technical Report, 2003 · DOI · Paper page
- J. Hirai, S. Raghavan, H. Garcia-Molina, A. Paepcke, WebBase: a repository of web pages, in: Proceedings of the Ninth International World Wide Web Conference, 2000 · DOI · Paper page
- G. Jeh, J. Widom, Scaling personalized web search, in: Proceedings of the 12th International World Wide Web Conference, 2003 · DOI
- S.D. Kamvar, T.H. Haveliwala, C.D. Manning, G.H. Golub, Extrapolation methods for accelerating PageRank computations, in: Proceedings of the 12th International World Wide Web Conference, 2003 · DOI
- Richardson, 2002, The intelligent surfer: probabilistic combination of link and content information in PageRank, vol. 14
Cited by
Langville, A., & Meyer, C. (2004) · Internet Mathematics · doi:10.1080/15427951.2004.10129091 · Cited by 894
Graph-based keyword extraction for single-document summarization
Litvak, M., & Last, M. (2008) · Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization - MMIES '08 · doi:10.3115/1613172.1613178 · Cited by 272
The $25,000,000,000 Eigenvector: The Linear Algebra behind Google
Bryan, K., & Leise, T. (2006) · SIAM Review · doi:10.1137/050623280 · Cited by 260
Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient
Avrachenkov, K., Litvak, N., Nemirovsky, D., & Osipova, N. (2007) · SIAM Journal on Numerical Analysis · doi:10.1137/050643799 · Cited by 250
Efficient PageRank approximation via graph aggregation
Broder, A. Z., Lempel, R., Maghoul, F., & Pedersen, J. (2006) · Information Retrieval · doi:10.1007/s10791-006-7146-1 · Cited by 72
Metadata
- Authors
- Kamvar, S., Haveliwala, T., & Golub, G.
- Venue
- Linear Algebra and its Applications
- Publisher
- Elsevier BV
- Published
- 2004-07
- Volume
- 386
- Pages
- 51-65
- ISSN
- 0024-3795 (ISSN-L)
- OpenAlex
- W2108272874
- Cited by
- 271
- References
- 2
- FWCI
- 21.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 3303 d)
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- Kamvar, S., Haveliwala, T., & Golub, G. (2004). Adaptive methods for the computation of PageRank. Linear Algebra and its Applications. https://doi.org/10.1016/j.laa.2003.12.008
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.
