World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8982
World Ranking
6833
National Ranking
326

Heiko Paulheim publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Heiko Paulheim sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 302 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Heiko Paulheim D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Heiko Paulheim sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Patrick Lambrix
Patrick Lambrix Linköping University
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
Stephan Lukosch
Stephan Lukosch University of Canterbury
Aldo Gangemi
Aldo Gangemi University of Bologna
Filip De Turck
Filip De Turck Ghent University
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München

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