Information Systems

Papers
(The TQCC of Information Systems is 10. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Finding HSP neighbors via an exact, hierarchical approach236
Revisiting explicit recommendation with DC-GCN: Divide-and-Conquer Graph Convolution Network235
DOML: A new modeling approach to Infrastructure-as-Code116
GTT: Leveraging data characteristics for guiding the tensor train decomposition103
The effects of database normalization on decision support system performance96
Reflection on community-diversified influence maximization in social networks72
KAVA-PM: Knowledge-assisted visual process mining72
A generative and discriminative model for diversity-promoting recommendation72
Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring70
HCDC: A novel hierarchical clustering algorithm based on density-distance cores for data sets with varying density62
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data59
Validating temporal compliance patterns: A unified approach with 58
A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis57
Reinforcement learning with time intervals for temporal knowledge graph reasoning50
The rise of nonnegative matrix factorization: Algorithms and applications44
Enabling schema-independent data retrieval queries in MongoDB43
GlintLM: Graph-Layered Integration with Nodal Topology with Language Models — A Bipartite Approach to Question Answering37
Density based learned spatial index for clustered data36
Editorial Board35
GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks34
Editorial Board33
Editorial Board33
Editorial32
Enabling semantics-aware process mining through the automatic annotation of event logs32
Inductive link prediction via global relational semantic learning31
An interactive approach for group-based event log exploration29
Measuring rule-based LTLf process specifications: A probabilistic data-driven approach29
ADAPT: Fairness & diversity for sequential group recommendations29
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)27
Temporal relational algebras supporting preferences in temporal relational databases: Definition, properties and evaluation25
Stochastic conformance checking based on variable-length Markov chains25
A holistic approach for modeling and predicting bike demand24
TREATS: Fairness-aware entity resolution over streaming data24
Editorial Board24
HubHSP graph: Capturing local geometrical and statistical data properties via spanning graphs24
Multi-source data outlier detection based on secure multi-party computation24
Trajectory data management: A data model and predicate logic with operators for spatio-temporal query processing23
Resource allocation in business process executions—A systematic literature study23
Implementing a declarative query language for high level machine learning application design23
On the discovery of seasonal gradual patterns through periodic patterns mining22
Prescriptive process monitoring based on causal effect estimation22
Editorial Board21
Detecting the adversarially-learned injection attacks via knowledge graphs21
Advances in databases and information systems — Selected papers from ADBIS 202321
Editorial Board20
Discovering hybrid process models with bounds on time and complexity19
Exploring data using patterns: A survey19
Capturing end-to-end provenance for machine learning pipelines19
FDM: Effective and efficient incident detection on sparse trajectory data18
Enterprise sellers’ satisfaction with business-to-business cross-border e-commerce platforms: Alibaba.com as an example18
Editorial Board18
An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN18
Editorial18
And synopses for all: A synopses data engine for extreme scale analytics-as-a-service17
Enhancing business process simulation models with extraneous activity delays17
Adaptive personalized recommender system using learning automata and items clustering17
Influence maximization based on discrete particle swarm optimization on multilayer network17
An efficient approach for discovering Graph Entity Dependencies (GEDs)17
Parameterization-free clustering with sparse data observers17
Petri net-based object-centric processes with read-only data16
Stochastic-aware precision and recall measures for conformance checking in process mining16
Efficient query evaluation techniques over large amount of distributed linked data16
Cloud-Fog Assisted Energy Efficient Architectural Paradigm for Disaster Evacuation16
Back to the Order: Partial orders in streaming conformance checking16
BPMN in healthcare: Challenges and best practices16
Transparent assessment of information quality of online reviews using formal argumentation theory15
Estimating the compressibility of raster data15
Corrigendum to “Process mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation” [Inform. Syst. 107 (2022) 101987]15
Special issue: BPM 2020 Selected Papers in Foundations and Engineering15
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation15
Nine years later: Reflecting on our article15
PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks15
Temporal graph processing in modern memory hierarchies14
Exploiting explicit item–item correlations from knowledge graphs for enhanced sequential recommendation14
On the use of trajectory data for tackling data scarcity14
Advancing EHR analysis: Predictive medication modeling using LLMs14
An Alternating Optimization Scheme for Binary Sketches14
Generalized Ethereum Blockchain-based recommender system framework14
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data14
A high-accuracy unsupervised statistical learning method for joint dangling entity detection and entity alignment14
Process mining over sensor data: Goal recognition for powered transhumeral prostheses13
All that glitters is not gold: Four maturity stages of process discovery algorithms13
Editorial Board13
A visual-semantic approach for building content-based recommender systems13
Taxa and super taxa of schema evolution and their relationship to activity, heartbeat and duration13
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation13
A statistical method for predicting quantitative variables in association rule mining13
Unveiling the causes of waiting time in business processes from event logs13
ECG classification with learning ensemble based on symbolic discretization13
KNN-connectivity constrained multi-prototype clustering algorithm with adaptive merging via major/minor axis projected area ratio12
Discovering partially ordered workflow models12
Retrospective Special Issue: Information Systems 50th anniversary12
Training-free sparse representations of dense vectors for scalable information retrieval12
On the evaluation and optimization of LabeledPAM12
An empirical evaluation of unsupervised event log abstraction techniques in process mining12
A framework for measuring the quality of business process simulation models12
Elastic scalable transaction processing in LeanXcale12
SOLID-M: An ontology-aware quality framework for conceptual models discovered from event data12
A reproducible POI recommendation framework: Works mapping and benchmark evaluation11
A taxonomy and ontology for digital platforms11
SaaMS: The synopses-as-a-microservice paradigm for scalable adaptive streaming analytics across the cloud to edge continuum11
Finding meaningful paths in heterogeneous graphs with PathWays11
Exploring computation offloading in IoT systems11
Editorial Board11
GPT-5 and open-weight large language models: Advances in reasoning, transparency, and control10
Discovering data transfer routines from user interaction logs10
Privacy-preserving record linkage using reference set based encoding: A single parameter method10
Computation over APT compressed data10
Dynamic group recommender methodology: Leveraging temporal trust and confidence graphs10
Reproducible experiments with Learned Metric Index Framework10
Filtering with relational similarity10
A survey of sequential recommendation systems: Techniques, evaluation, and future directions10
Measuring the interestingness of temporal logic behavioral specifications in process mining10
Quantifying and relating the completeness and diversity of process representations using species estimation10
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