2026 Jens Lehmann: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	64	2524	2445	109	106	346	27988

Jens Lehmann 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 Jens Lehmann sits on this spectrum.

32 publications 991+

This scientist: 346 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Jens Lehmann 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 Jens Lehmann sits on this spectrum.

30 D-Index 131+

This scientist: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2023 - Research.com Computer Science in Germany Leader Award

Overview

Jens Lehmann is affiliated with the University of Bonn in Germany and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their body of research includes a strong emphasis on advanced graph neural networks, natural language processing techniques, and topic modeling.

Their recent publications showcase a range of topics within knowledge graph research and machine learning. Notable papers include:

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings, 2020, arXiv (Cornell University)
Trans4E: Link prediction on scholarly knowledge graphs, 2021, Neurocomputing
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Introduction to neural network-based question answering over knowledge graphs, 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
SGPT: A Generative Approach for SPARQL Query Generation From Natural Language Questions, 2022, IEEE Access

Jens Lehmann collaborates frequently with several co-authors, including Sahar Vahdati, Mojtaba Nayyeri, Md Rashad Al Hasan Rony, Chengjin Xu, and Ricardo Usbeck. Collaboration counts with these co-authors range from 11 to 35 joint publications.

Their research has been published predominantly in venues such as arXiv (Cornell University), IEEE Access, and Lecture Notes in Computer Science. Other venues include Journal der Juristischen Zeitgeschichte and Zenodo (CERN European Organization for Nuclear Research).

The main fields of study encompass:

Computer Science

Within computer science, their subfields of study include:

Artificial Intelligence
Computer Vision and Pattern Recognition
Management Science and Operations Research
Molecular Biology
Information Systems

Research topics covered in their work incorporate:

Topic Modeling
Advanced Graph Neural Networks
Natural Language Processing Techniques
Data Quality and Management
Semantic Web and Ontologies
Speech and dialogue systems
Bioinformatics and Genomic Networks

Best Publications

DBpedia: a nucleus for a web of open data

Sören Auer;Christian Bizer;Georgi Kobilarov;Jens Lehmann

6416
Citations
DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia

Jens Lehmann;Robert Isele;Max Jakob;Anja Jentzsch

3578
Citations
DBpedia - A crystallization point for the Web of Data

Christian Bizer;Jens Lehmann;Georgi Kobilarov;Sören Auer

3036
Citations
Quality assessment for Linked Data: A Survey

Amrapali Zaveri;Anisa Rula;Andrea Maurino;Ricardo Pietrobon

703
Citations
Template-based question answering over RDF data

Christina Unger;Lorenz Bühmann;Jens Lehmann;Axel-Cyrille Ngonga Ngomo

652
Citations
OntoWiki: A Tool for Social, Semantic Collaboration.

Sören Auer;Sebastian Dietzold;Jens Lehmann;Thomas Riechert

536
Citations
LinkedGeoData: A core for a web of spatial open data

Claus Stadler;Jens Lehmann;Konrad Höffner;Sören Auer

480
Citations
Triplify: light-weight linked data publication from relational databases

Sören Auer;Sebastian Dietzold;Jens Lehmann;Sebastian Hellmann

472
Citations
DBpedia SPARQL benchmark: performance assessment with real queries on real data

Mohamed Morsey;Jens Lehmann;Sören Auer;Axel-Cyrille Ngonga Ngomo

388
Citations
LinkedGeoData: Adding a Spatial Dimension to the Web of Data

Sören Auer;Jens Lehmann;Sebastian Hellmann

383
Citations
What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content

Sören Auer;Jens Lehmann

342
Citations
Test-driven evaluation of linked data quality

Dimitris Kontokostas;Patrick Westphal;Sören Auer;Sebastian Hellmann

341
Citations
Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level

Denis Lukovnikov;Asja Fischer;Jens Lehmann;Sören Auer

314
Citations
Assessing linked data mappings using network measures

Christophe Guéret;Paul Groth;Claus Stadler;Jens Lehmann

311
Citations
Integrating NLP Using Linked Data

Sebastian Hellmann;Jens Lehmann;Sören Auer;Martin Brümmer

286
Citations
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity

Ana C. Lorena;Luís P. F. Garcia;Jens Lehmann;Marcilio C. P. Souto

274
Citations
Survey on challenges of Question Answering in the Semantic Web

Konrad Höffner;Sebastian Walter;Edgard Marx;Ricardo Usbeck

271
Citations
Concept learning in description logics using refinement operators

Jens Lehmann;Pascal Hitzler

265
Citations
LC-QuAD: A Corpus for Complex Question Answering over Knowledge Graphs

Priyansh Trivedi;Gaurav Maheshwari;Mohnish Dubey;Jens Lehmann

260
Citations
Introduction to linked data and its lifecycle on the web

Sören Auer;Jens Lehmann;Axel-Cyrille Ngonga Ngomo;Amrapali Zaveri

255
Citations
LODStats --- an extensible framework for high-performance dataset analytics

Sören Auer;Jan Demter;Michael Martin;Jens Lehmann

252
Citations

Frequent Co-Authors

Sören Auer University of Hannover

Axel-Cyrille Ngonga Ngomo University of Paderborn

Pascal Hitzler Kansas State University

Christian Bizer University of Mannheim

Ruben Verborgh Ghent University

Elena Simperl King's College London

Paul Groth University of Amsterdam

Volker Tresp Ludwig-Maximilians-Universität München

Jeff Z. Pan University of Edinburgh

Axel Polleres Vienna University of Economics and Business

External Links

Wikipedia of Jens Lehmann Personal website of Jens Lehmann Google Scholar page

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