World's Best Scientists 2026 revealed!
Heiner Stuckenschmidt

Heiner Stuckenschmidt

Award Badge
Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
68
Citations
17061
World Ranking
2102
National Ranking
85

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Heiner Stuckenschmidt is affiliated with the University of Mannheim in Germany and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their research spans several subfields including Management Science and Operations Research, Management Information Systems, Computer Vision and Pattern Recognition, and Information Systems.

The scientist's work covers various topics such as Business Process Modeling and Analysis, Advanced Graph Neural Networks, Bayesian Modeling and Causal Inference, Anomaly Detection Techniques and Applications, Service-Oriented Architecture and Web Services, Data Quality and Management, and Topic Modeling. These topics represent key areas of their research contributions and academic inquiries.

The most frequent venues for their publications include arXiv (Cornell University), SSRN Electronic Journal, International Journal of Production Research, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, and Proceedings of the AAAI Conference on Artificial Intelligence.

Heiner Stuckenschmidt's recent papers demonstrate the diversity and interdisciplinary nature of their research. Selected publications include:

  • "Data-driven smart charging for heterogeneous electric vehicle fleets" (2020) published in Energy and AI
  • "Daily retail demand forecasting using machine learning with emphasis on calendric special days" (2020) published in International Journal of Forecasting
  • "Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time" (2020) published in IEEE Transactions on Intelligent Transportation Systems
  • "Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice" (2024) published in Journal of Purchasing and Supply Management
  • "Predicting Academic Outcomes: A Survey from 2007 Till 2018" (2020) published in Technology Knowledge and Learning

The scientist frequently collaborates with a number of coauthors, indicating an active involvement in collaborative research. Key collaborators include Christian Bartelt, Han van der Aa, Christian Meilicke, Stefan Lüdtke, and Lea Cohausz. These collaborations have contributed to a substantial portion of their publication record.

Best Publications

  • Ontology-Based Integration of Information — A Survey of Existing Approaches

    Holger Wache;Thomas Vögele;Ubbo Visser;Heiner Stuckenschmidt

  • Results of the Ontology Alignment Evaluation Initiative

    J. Euzenat;M. Mochol;P. Shvaiko;H. Stuckenschmidt

  • C-OWL: contextualizing ontologies

    Paolo Bouquet;Fausto Giunchiglia;Frank Van Harmelen;Luciano Serafini

  • A framework for handling inconsistency in changing ontologies

    Peter Haase;Frank van Harmelen;Zhisheng Huang;Heiner Stuckenschmidt

  • Results of the ontology alignment evaluation initiative 2009

    Jérôme Euzenat;Alfio Ferrara;Laura Hollink;Antoine Isaac

  • Results of the ontology alignment evaluation initiative 2007

    Jérôme Euzenat;Antoine Isaac;Christian Meilicke;Pavel Shvaiko

  • Ontology alignment evaluation initiative: six years of experience

    Jérôme Euzenat;Christian Meilicke;Heiner Stuckenschmidt;Pavel Shvaiko

  • On-body localization of wearable devices: An investigation of position-aware activity recognition

    Timo Sztyler;Heiner Stuckenschmidt

  • Structure-based partitioning of large concept hierarchies

    Heiner Stuckenschmidt;Michel Klein

  • Information Sharing on the Semantic Web

    Heiner Stuckenschmidt;Frank van Harmelen

  • Contextualizing ontologies

    Paolo Bouquet;Fausto Giunchiglia;Frank van Harmelen;Luciano Serafini

  • Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization

    Heiner Stuckenschmidt;Christine Parent;Stefano Spaccapietra

  • Ontologies for geographic information processing

    U. Visser;H. Stuckenschmidt;G. Schuster;T. Vögele

  • Anytime Bottom-Up Rule Learning for Knowledge Graph Completion

    Christian Meilicke;Melisachew Wudage Chekol;Daniel Ruffinelli;Heiner Stuckenschmidt

  • Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion

    Christian Meilicke;Manuel Fink;Yanjie Wang;Daniel Ruffinelli

  • Fine-Grained Sentiment Analysis with Structural Features

    Cäcilia Zirn;Mathias Niepert;Heiner Stuckenschmidt;Michael Strube

  • Repairing ontology mappings

    C. Meilicke;H. Stuckenschmidt;Andrei Tamilin

  • Index structures and algorithms for querying distributed RDF repositories

    Heiner Stuckenschmidt;Richard Vdovjak;Geert-Jan Houben;Jeen Broekstra

  • Learning domain ontologies for semantic Web service descriptions

    Marta Sabou;Chris Wroe;Carole Goble;Heiner Stuckenschmidt

  • Daily retail demand forecasting using machine learning with emphasis on calendric special days

    Jakob Huber;Heiner Stuckenschmidt

  • Results of the ontology alignment evaluation initiative 2006

    Jérôme Euzenat;Malgorzata Mochol;Pavel Shvaiko;Heiner Stuckenschmidt

  • The Semantic Web: Research and Applications

    Lora Aroyo;Grigoris Antoniou;Eero Hyvönen;Annette Ten Teije

Frequent Co-Authors

Jérôme Euzenat
Jérôme Euzenat Grenoble Alpes University
Frank van Harmelen
Frank van Harmelen Vrije Universiteit Amsterdam
Pavel Shvaiko
Pavel Shvaiko University of Trento
Simone Paolo Ponzetto
Simone Paolo Ponzetto University of Mannheim
Fausto Giunchiglia
Fausto Giunchiglia University of Trento
Steffen Staab
Steffen Staab University of Stuttgart
Marta Sabou
Marta Sabou Vienna University of Economics and Business
Luciano Serafini
Luciano Serafini Fondazione Bruno Kessler
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Michel C. A. Klein
Michel C. A. Klein Vrije Universiteit Amsterdam

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