OOIR: Observatory of International Research

Papers

(The TQCC of VLDB Journal is 6. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Threshold queries in theory and in the wild	487
An efficient and scalable graph database with built-in temporal support	148
Beyond influence: voting theory for opinion maximization	140
Generating highly customizable python code for data processing with large language models	103
Efficiently Counting Four-Node Motifs in Large-Scale Temporal Graphs	39
Optimizing navigational graph queries	37
Hypergraph decomposition with intersection bounds	34
Transactional panorama: a conceptual framework for user perception in analytical visual interfaces (extended version)	31
Missing Value Imputation in Tabular Data Lakes Unleashed: A Hybrid Approach	28
Efficient and robust active learning methods for interactive database exploration	24
Third and Boyce–Codd normal form for property graphs	22
FOSS: A learned doctor for query optimization	21
On Efficient Top-k Empirical Variance Computation: A Once-For-All Progressive Sampling Approach	20
Efficient discovery of arbitrary cycles in large-scale networks	20
Hu-Fu: efficient and secure spatial queries over data federation	19
BioGITOM: Matching Biomedical Ontologies with Graph Isomorphism Transformer	19
Model reusability in Reinforcement Learning	18
PTSSP: privacy-preserving top-k spatial keyword similarity query with priority matching	17
On efficient 3D object retrieval	17
Efficient graph embedding at scale: optimizing CPU-GPU-SSD integration	16
Hyper-distance oracles in hypergraphs	16
In-database query optimization on SQL with ML predicates	16
A new window Clause for SQL++	14
Learned sketch for subgraph counting: a holistic approach	13
Can large language models be a cardinality estimator? An empirical study	13

GPU-based butterfly counting	12
Special issue on the best papers of DaMoN 2020	12
Discovering critical vertices for reinforcement of large-scale bipartite networks	12
An update-intensive LSM-based R-tree index	12
LEON+: towards robust ML-aided query optimization	12
Efficient top-k spatial-range-constrained approximate nearest neighbor search on geo-tagged high-dimensional vectors	12
SQUID: subtrajectory query in trillion-scale GPS database	11
DB-BERT: making database tuning tools “read” the manual	10
Multi-constraint shortest path using forest hop labeling	10
DBSP: automatic incremental view maintenance for rich query languages	10
P$$^2$$CG: a privacy preserving collaborative graph neural network training framework	10
On Querying Historical Connectivity in Large-scale Temporal Graphs	10
ByShard: sharding in a Byzantine environment	10
The Status-Quo in nested data processing for high-energy physics	10
DIST: Efficient k-Clique Listing via Induced Subgraph Trie	9
Efficient and scalable huge embedding model training via distributed cache management	9
LIST: learning to index spatio-textual data for embedding based spatial keyword queries	9
State Migration in Styx: Towards Serverless Transactional Functions	9
Generating adversarial SQL queries for evaluating cardinality estimators	8
DumpyOS: A data-adaptive multi-ary index for scalable data series similarity search	8
Incremental discovery of denial constraints	8
Efficient detection of multivariate correlations with different correlation measures	8
Efficient and effective algorithms for densest subgraph discovery and maintenance	8
A graph pattern mining framework for large graphs on GPU	8
Privacy-Utility Balanced Cooperative Online Matching in Spatial Crowdsourcing	7
Efficient discovery of co-movement patterns from video data	7
Towards flexibility and robustness of LSM trees	7
Eris: efficiently measuring discord in multidimensional sources	7
Anytime bottom-up rule learning for large-scale knowledge graph completion	7
Tiered-Indexing: Optimizing Access Methods for Skew	7
Accelerating directed densest subgraph queries with software and hardware approaches	6
Assisted design of data science pipelines	6
AutoML in heavily constrained applications	6
A survey on deep learning approaches for text-to-SQL	6