Distributed and Parallel Databases

Papers
(The TQCC of Distributed and Parallel Databases is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
On combining system and machine learning performance tuning for distributed data stream applications48
Balanced parallel triangle enumeration with an adaptive algorithm13
Accelerating machine learning queries with linear algebra query processing11
RETRACTED ARTICLE: A distributed submerged object detection and classification enhancement with deep learning9
Scalable probabilistic truss decomposition using central limit theorem and H-index9
Parallel continuous skyline query over high-dimensional data stream windows9
STIF: Intuitionistic fuzzy Gaussian membership function with statistical transformation weight of evidence and information value for private information preservation8
Multi-model query languages: taming the variety of big data8
Deep learning-based computer aided diagnosis model for skin cancer detection and classification7
Special issue on Data-driven Science6
Introduction to the special issue on self‑managing and hardware‑optimized database systems 20205
A computer vision approach for detecting discrepancies in map textual labels4
RETRACTED ARTICLE: CTRV: resource based task consolidation approach in cloud for green computing4
Mutual-contained access delegation scheme for the Internet of Things user services4
S3QLRDF: distributed SPARQL query processing using Apache Spark—a comparative performance study4
Enhanced encryption for light weight data in a multi-cloud system4
Bio-SODA UX: enabling natural language question answering over knowledge graphs with user disambiguation3
A novel role-mapping algorithm for enhancing highly collaborative access control system3
Infomod: information-theoretic machine learning model diagnostics3
PECC: parallel expansion based on clustering coefficient for efficient graph partitioning3
Subscribing to big data at scale3
Searching semantically diverse paths3
MISS: finding optimal sample sizes for approximate analytics3
Novel insights on atomic synchronization for sort-based group-by on GPUs3
Enabling secure data-driven applications: an approach to personal data management using trusted execution environments3
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