The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Trends in big data analytics
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Citations
Cites
The Grid 2: Blueprint for a New Computing Infrastructure
Foster, I. T., & Kesselman, C. (1998) · Cited by 7,637
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009) · Future Generation Computer Systems · doi:10.1016/j.future.2008.12.001 · Cited by 5,937
Ghemawat, S., Gobioff, H., & Leung, S.-T. (2003) · ACM SIGOPS Operating Systems Review · doi:10.1145/1165389.945450 · Cited by 4,984
Halko, N., Martinsson, P. G., & Tropp, J. A. (2011) · SIAM Review · doi:10.1137/090771806 · Cited by 4,002
A Bridging Model for Parallel Computation
Valiant, L. G. (1990) · ACM eBooks · doi:10.1145/3749740.3749753 · Cited by 3,664
Pregel: a system for large-scale graph processing
Malewicz, G., Austern, M. H., Bik, A. J. C., Dehnert, J. C., Horn, I., Leiser, N., & Czajkowski, G. (2010) · Proceedings of the 2010 ACM SIGMOD International Conference on Management of data · doi:10.1145/1807167.1807184 · Cited by 3,515
(2007) · doi:10.1145/1294261.1294281 · Cited by 3,447
A scalable, commodity data center network architecture
Al-Fares, M., Loukissas, A., & Vahdat, A. (2008) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1402946.1402967 · Cited by 3,175
The many faces of publish/subscribe
Eugster, P. T., Felber, P. A., Guerraoui, R., & Kermarrec, A.-M. (2003) · ACM Computing Surveys · doi:10.1145/857076.857078 · Cited by 3,145
MapReduce: Simplified Data Processing on Large Cluster
Senior Software Developer, A. U., & Dayalan, M. (2018) · International Journal of Research and Engineering · doi:10.21276/ijre.2018.5.5.4 · Cited by 2,948
Cited by
Big IoT data analytics: Architecture, opportunities, and open research challenges
(2017) · IEEE Access · doi:10.1109/access.2017.2689040 · Cited by 980
Big data analytics in supply chain management between 2010 and 2016: Insights to industries
Tiwari, S., Wee, H. M., & Daryanto, Y. (2018) · Computers & Industrial Engineering · doi:10.1016/j.cie.2017.11.017 · Cited by 582
A survey towards an integration of big data analytics to big insights for value-creation
Saggi, M. K., & Jain, S. (2018) · Information Processing & Management · doi:10.1016/j.ipm.2018.01.010 · Cited by 494
Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
Lv, Z., Song, H., Basanta-Val, P., Steed, A., & Jo, M. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2650204 · Cited by 365
Computational Health Informatics in the Big Data Age: A Survey
Fang, R., Pouyanfar, S., Yang, Y., Chen, S.-C., & Iyengar, S. S. (2017) · ACM Computing Surveys · doi:10.1145/2932707 · Cited by 210
Metadata
- Authors
- Kambatla, K., Kollias, G., Kumar, V., & Grama, A.
- Venue
- Journal of Parallel and Distributed Computing
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 74
- Issue
- 7
- Pages
- 2561-2573
- ISSN
- 0743-7315 (ISSN-L)
- OpenAlex
- W1973747955
- Cited by
- 819
- References
- 65
- FWCI
- 234.84
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Trends in big data analytics. https://app.cochat.ai/papers/10.1016/j.jpdc.2014.01.003
- The paper
- Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends in big data analytics. Journal of Parallel and Distributed Computing. https://doi.org/10.1016/j.jpdc.2014.01.003
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.
