Information Systems

Papers
(The H4-Index of Information Systems is 26. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
GTT: Leveraging data characteristics for guiding the tensor train decomposition244
Reflection on community-diversified influence maximization in social networks239
A generative and discriminative model for diversity-promoting recommendation126
Finding HSP neighbors via an exact, hierarchical approach107
Revisiting explicit recommendation with DC-GCN: Divide-and-Conquer Graph Convolution Network98
HCDC: A novel hierarchical clustering algorithm based on density-distance cores for data sets with varying density75
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data73
Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring72
The effects of database normalization on decision support system performance68
KAVA-PM: Knowledge-assisted visual process mining59
DOML: A new modeling approach to Infrastructure-as-Code58
Validating temporal compliance patterns: A unified approach with 52
Reinforcement learning with time intervals for temporal knowledge graph reasoning45
Enabling schema-independent data retrieval queries in MongoDB44
GlintLM: Graph-Layered Integration with Nodal Topology with Language Models — A Bipartite Approach to Question Answering39
Density based learned spatial index for clustered data38
Editorial Board36
Editorial Board35
Editorial Board35
Enabling semantics-aware process mining through the automatic annotation of event logs34
Editorial34
GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks33
Inductive link prediction via global relational semantic learning33
ADAPT: Fairness & diversity for sequential group recommendations32
An interactive approach for group-based event log exploration28
Measuring rule-based LTLf process specifications: A probabilistic data-driven approach26
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