Jan Tore Lønning

714 total citations
12 papers, 249 citations indexed

About

Jan Tore Lønning is a scholar working on Artificial Intelligence, Language and Linguistics and History and Philosophy of Science. According to data from OpenAlex, Jan Tore Lønning has authored 12 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 1 paper in History and Philosophy of Science. Recurrent topics in Jan Tore Lønning's work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (4 papers). Jan Tore Lønning is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (4 papers). Jan Tore Lønning collaborates with scholars based in Norway and Switzerland. Jan Tore Lønning's co-authors include Stephan Oepen, Lilja Øvrelid, Dan Flickinger, Erik Velldal, Helge Dyvik, Janne Bondi Johannessen, John M. Carroll, Lars Hellan, Francis Bond and Cathrine Fabricius‐Hansen and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Jan Tore Lønning

12 papers receiving 215 citations

Peers

Jan Tore Lønning
Comparison fields: 5 of 30
  • Artificial Intelligence 214
  • Language and Linguistics 65
  • Experimental and Cognitive Psychology 21
  • Philosophy 15
  • Molecular Biology 14
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Citations per field, relative to Jan Tore Lønning
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Citations per year, relative to Jan Tore Lønning
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Countries citing papers authored by Jan Tore Lønning

Since Specialization
Citations

This map shows the geographic impact of Jan Tore Lønning's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Tore Lønning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Tore Lønning more than expected).

Fields of papers citing papers by Jan Tore Lønning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Tore Lønning. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Tore Lønning. The network helps show where Jan Tore Lønning may publish in the future.

Co-authorship network of co-authors of Jan Tore Lønning

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Tore Lønning. A scholar is included among the top collaborators of Jan Tore Lønning based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Tore Lønning. Jan Tore Lønning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 13
2
Evaluation of Domain-specific Word Embeddings using Knowledge Resources.
24
3 3
4
Towards hybrid quality-oriented machine translation - on linguistics and probabilities in MT.
27
5
Discriminant-Based MRS Banking
72
6
A Festschrift for Kjell Johan Sæbø : in partial fulfilment of the requirements for the celebration of his 50th birthday
8
7 7
8
Using a Bi-Lingual Dictionary in Lexical Transfer.
3
9
SEM-I Rational MT: Enriching Deep Grammars with a Semantic Interface for Scalable Machine Translation
10
10
Som å kapp-ete med trollet? Towards MRS-based Norwegian-English machine translation
26
11 1
12 55

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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