H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 54 Citations 21,203 255 World Ranking 2293 National Ranking 100


What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Database

Jens Lehmann mainly focuses on Linked data, Information retrieval, RDF, Semantic Web and SPARQL. His Linked data research incorporates themes from Crowdsourcing, Data quality, Set and Data science. His research integrates issues of Semantics, World Wide Web and Data model in his study of Information retrieval.

Jens Lehmann has researched RDF in several fields, including Data integration and Data Web. In his work, Description logic and Data structure is strongly intertwined with Web service, which is a subfield of Semantic Web. The SPARQL study combines topics in areas such as Question answering and Knowledge base.

His most cited work include:

  • DBpedia: a nucleus for a web of open data (3122 citations)
  • DBpedia - A crystallization point for the Web of Data (1641 citations)
  • DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia (1606 citations)

What are the main themes of his work throughout his whole career to date?

Jens Lehmann mostly deals with Information retrieval, RDF, Linked data, Artificial intelligence and Semantic Web. His research in the fields of Question answering overlaps with other disciplines such as Benchmarking. His research investigates the connection between RDF and topics such as Scalability that intersect with problems in Big data.

His Linked data study is concerned with World Wide Web in general. His Artificial intelligence research incorporates elements of Context, Machine learning and Natural language processing. His biological study spans a wide range of topics, including Ontology and Description logic.

He most often published in these fields:

  • Information retrieval (28.45%)
  • RDF (27.32%)
  • Linked data (24.23%)

What were the highlights of his more recent work (between 2019-2021)?

  • Knowledge graph (19.44%)
  • Artificial intelligence (25.07%)
  • Embedding (10.99%)

In recent papers he was focusing on the following fields of study:

Jens Lehmann spends much of his time researching Knowledge graph, Artificial intelligence, Embedding, Question answering and Theoretical computer science. His study looks at the intersection of Knowledge graph and topics like Data mining with Scalability. His work deals with themes such as Machine learning and Natural language processing, which intersect with Artificial intelligence.

The study incorporates disciplines such as Parsing, Natural language and Pointer in addition to Question answering. His Context research is multidisciplinary, incorporating elements of Quality, Information retrieval and Interface. Information retrieval is a component of his SPARQL and RDF studies.

Between 2019 and 2021, his most popular works were:

  • Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking. (9 citations)
  • Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models (6 citations)
  • Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. (6 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Machine learning

Knowledge graph, Embedding, Theoretical computer science, Artificial intelligence and Entity linking are his primary areas of study. His Knowledge graph research is under the purview of Information retrieval. As part of his studies on Information retrieval, Jens Lehmann often connects relevant subjects like Structure.

His research in Artificial intelligence focuses on subjects like Natural language processing, which are connected to Component and Reinforcement learning. His work carried out in the field of Entity linking brings together such families of science as Data science, Context, Transformer and Process. Jens Lehmann focuses mostly in the field of Semantic Web, narrowing it down to matters related to Set and, in some cases, Ontology.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

DBpedia: a nucleus for a web of open data

Sören Auer;Christian Bizer;Georgi Kobilarov;Jens Lehmann.
international semantic web conference (2007)

5018 Citations

DBpedia - A crystallization point for the Web of Data

Christian Bizer;Jens Lehmann;Georgi Kobilarov;Sören Auer.
Journal of Web Semantics (2009)

2670 Citations

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

Jens Lehmann;Robert Isele;Max Jakob;Anja Jentzsch.
Social Work (2015)

2236 Citations

Template-based question answering over RDF data

Christina Unger;Lorenz Bühmann;Jens Lehmann;Axel-Cyrille Ngonga Ngomo.
the web conference (2012)

540 Citations

OntoWiki: A Tool for Social, Semantic Collaboration.

Sören Auer;Sebastian Dietzold;Jens Lehmann;Thomas Riechert.
CKC (2007)

533 Citations

Quality assessment for Linked Data: A Survey

Amrapali Zaveri;Anisa Rula;Andrea Maurino;Ricardo Pietrobon.
Social Work (2015)

488 Citations

Triplify: light-weight linked data publication from relational databases

Sören Auer;Sebastian Dietzold;Jens Lehmann;Sebastian Hellmann.
the web conference (2009)

449 Citations

LinkedGeoData: A core for a web of spatial open data

Claus Stadler;Jens Lehmann;Konrad Höffner;Sören Auer.
Social Work (2012)

382 Citations

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

Mohamed Morsey;Jens Lehmann;Sören Auer;Axel-Cyrille Ngonga Ngomo.
international semantic web conference (2011)

354 Citations

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

Sören Auer;Jens Lehmann.
european semantic web conference (2007)

344 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Jens Lehmann

Axel-Cyrille Ngonga Ngomo

Axel-Cyrille Ngonga Ngomo

University of Paderborn

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University of Hannover

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Heiko Paulheim

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Fabian M. Suchanek

Fabian M. Suchanek

Télécom ParisTech

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Axel Polleres

Axel Polleres

Vienna University of Economics and Business

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Tim Finin

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University of Maryland, Baltimore County

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Aidan Hogan

Aidan Hogan

University of Chile

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Philipp Cimiano

Philipp Cimiano

Bielefeld University

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Christian Bizer

Christian Bizer

University of Mannheim

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Amit P. Sheth

Amit P. Sheth

University of South Carolina

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Volker Tresp

Volker Tresp

Ludwig-Maximilians-Universität München

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Floriana Esposito

Floriana Esposito

University of Bari Aldo Moro

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Aldo Gangemi

Aldo Gangemi

University of Bologna

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Oscar Corcho

Oscar Corcho

Technical University of Madrid

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