World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8982
World Ranking
6832
National Ranking
325

Overview

Heiko Paulheim is affiliated with the University of Mannheim in Germany and has contributed significantly to research in Computer Science, with a notable focus on Artificial Intelligence. Their work encompasses several subfields including Management Science and Operations Research, Molecular Biology, Information Systems, and Computer Vision and Pattern Recognition.

The scientist's main topics of research include:

  • Advanced Graph Neural Networks
  • Semantic Web and Ontologies
  • Topic Modeling
  • Natural Language Processing Techniques
  • Data Quality and Management
  • Bioinformatics and Genomic Networks
  • Biomedical Text Mining and Ontologies

Heiko Paulheim's recent publications cover a range of themes within their fields of interest and include:

  • "A Multi-Indicator Approach for Geolocalization of Tweets," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Combining Machine Learning and Semantic Web: A Systematic Mapping Study," 2023, ACM Computing Surveys
  • "Knowledge Graphs on the Web -- an Overview," 2020, arXiv (Cornell University)
  • "Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision," 2021, Future Internet
  • "Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction - two sides of the same coin?," 2022, Semantic Web

Frequent co-authors in Heiko Paulheim's research include:

  • Jan Portisch
  • Nicolas Heist
  • Andreea Iana
  • Sven Hertling
  • Petar Ristoski

Heiko Paulheim has published extensively in several venues, with notable numbers of publications in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Semantic Web
  • Lecture Notes in Computer Science
  • MADOC (University of Mannheim)

Book publications by the scientist have appeared primarily through Springer Science+Business Media and Morgan & Claypool Publishers. Springer Science+Business Media released four editions of the book titled "The Semantic Web" between 2020 and 2024. Additionally, Morgan & Claypool Publishers released "Embedding Knowledge Graphs with RDF2vec" in 2023.

Best Publications

  • Knowledge graph refinement: A survey of approaches and evaluation methods

    Heiko Paulheim

  • Adoption of the Linked Data Best Practices in Different Topical Domains

    Max Schmachtenberg;Christian Bizer;Heiko Paulheim

  • RDF2Vec: RDF Graph Embeddings for Data Mining

    Petar Ristoski;Heiko Paulheim

  • Semantic Web in data mining and knowledge discovery

    Petar Ristoski;Heiko Paulheim

  • Type Inference on Noisy RDF Data

    Heiko Paulheim;Christian Bizer

  • Improving the Quality of Linked Data Using Statistical Distributions

    Heiko Paulheim;Christian Bizer

  • Unsupervised generation of data mining features from linked open data

    Heiko Paulheim;Johannes Fümkranz

  • RDF2Vec: RDF graph embeddings and their applications

    Petar Ristoski;Jessica Rosati;Jessica Rosati;Tommaso Di Noia;Renato De Leone

  • A Multi-Indicator Approach for Geolocalization of Tweets

    Axel Schulz;Aristotelis Hadjakos;Heiko Paulheim;Johannes Nachtwey

  • Weakly supervised learning for fake news detection on Twitter

    Stefan Helmstetter;Heiko Paulheim

  • I See a Car Crash: Real-Time Detection of Small Scale Incidents in Microblogs

    Axel Schulz;Petar Ristoski;Heiko Paulheim

  • Mining the Web of Linked Data with RapidMiner

    Petar Ristoski;Christian Bizer;Heiko Paulheim

  • Ontologies-Based Business Integration

    Michael Rebstock;Fengel Janina;Heiko Paulheim

  • Detecting Incorrect Numerical Data in DBpedia

    Dominik Wienand;Heiko Paulheim

  • Results of the ontology alignment evaluation initiative 2013

    Bernardo Cuenca Grau;Zlatan Dragisic;Kai Eckert;Jérôme Euzenat

  • A large database of hypernymy relations extracted from the Web

    Julian Seitner;Christian Bizer;Kai Eckert;Stefano Faralli

  • Global RDF vector space embeddings

    Michael Cochez;Michael Cochez;Petar Ristoski;Simone Paolo Ponzetto;Heiko Paulheim

  • Results of the ontology alignment evaluation initiative 2014

    Zlatan Dragisic;Kai Eckert;Jérôme Euzenat;Daniel Faria

  • A collection of benchmark datasets for systematic evaluations of machine learning on the Semantic Web

    Petar Ristoski;Gerben Klaas Dirk de Vries;Heiko Paulheim

  • On cognitive preferences and the plausibility of rule-based models

    Johannes Fürnkranz;Tomáš Kliegr;Heiko Paulheim

  • The Mannheim Search Join Engine

    Oliver Lehmberg;Dominique Ritze;Petar Ristoski;Robert Meusel

Frequent Co-Authors

Christian Bizer
Christian Bizer University of Mannheim
Simone Paolo Ponzetto
Simone Paolo Ponzetto University of Mannheim
Ernesto Jiménez-Ruiz
Ernesto Jiménez-Ruiz City, University of London
Pavel Shvaiko
Pavel Shvaiko University of Trento
Johannes Fürnkranz
Johannes Fürnkranz Johannes Kepler University of Linz
Aldo Gangemi
Aldo Gangemi University of Bologna
Filip De Turck
Filip De Turck Ghent University
Jérôme Euzenat
Jérôme Euzenat Grenoble Alpes University
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Max Mühlhäuser
Max Mühlhäuser Technical University of Darmstadt

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