Helge Dyvik

635 total citations
13 papers, 250 citations indexed

About

Helge Dyvik is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Helge Dyvik has authored 13 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Helge Dyvik's work include Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Semantic Web and Ontologies (3 papers). Helge Dyvik is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Semantic Web and Ontologies (3 papers). Helge Dyvik collaborates with scholars based in Norway, Germany and Australia. Helge Dyvik's co-authors include Tracy Holloway King, Miriam Butt, Christian Röhrer, Hiroshi Masuichi, Stephan Oepen, Jan Tore Lønning, Dan Flickinger, Koenraad De Smedt, John M. Carroll and Lars Hellan and has published in prestigious journals such as Language Resources and Evaluation, Nordic Journal of Linguistics and Bergen Open Research Archive (BORA) (University of Bergen).

In The Last Decade

Helge Dyvik

12 papers receiving 185 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Helge Dyvik Norway	6	235	66	11	10	9	13	250
Jan Tore Lønning Norway	8	214 0.9×	65 1.0×	21 1.9×	8 0.8×	9 1.0×	12	249
Karel Pala Czechia	7	162 0.7×	62 0.9×	8 0.7×	9 0.9×	3 0.3×	50	173
Irene Castellón Masalles Spain	9	243 1.0×	71 1.1×	11 1.0×	6 0.6×	5 0.6×	59	265
Sharon Cote United States	2	208 0.9×	72 1.1×	16 1.5×	9 0.9×	3 0.3×	3	237
Jürgen Wedekind United States	8	209 0.9×	70 1.1×	22 2.0×	7 0.7×	5 0.6×	21	225
David Farwell United States	10	172 0.7×	47 0.7×	14 1.3×	4 0.4×	3 0.3×	31	224
Igor Boguslavsky Russia	7	210 0.9×	36 0.5×	3 0.3×	4 0.4×	6 0.7×	27	234
Vladislav Kuboň Czechia	8	208 0.9×	46 0.7×	13 1.2×	4 0.4×	2 0.2×	36	240
Susanne Z. Riehemann United States	7	179 0.8×	96 1.5×	27 2.5×	17 1.7×	5 0.6×	9	227
Sylvain Kahane France	10	151 0.6×	86 1.3×	18 1.6×	22 2.2×	8 0.9×	44	214

Countries citing papers authored by Helge Dyvik

Since Specialization

Citations

This map shows the geographic impact of Helge Dyvik'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 Helge Dyvik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helge Dyvik more than expected).

Fields of papers citing papers by Helge Dyvik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helge Dyvik. 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 Helge Dyvik. The network helps show where Helge Dyvik may publish in the future.

Co-authorship network of co-authors of Helge Dyvik

This figure shows the co-authorship network connecting the top 25 collaborators of Helge Dyvik. A scholar is included among the top collaborators of Helge Dyvik 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 Helge Dyvik. Helge Dyvik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Dyvik, Helge, et al.. (2016). NorGramBank: A 'Deep' Treebank for Norwegian.. Language Resources and Evaluation. 3555–3562. 5 indexed citations

2.

Dyvik, Helge, et al.. (2016). The enrichment of lexical resources through incremental parsebanking. Language Resources and Evaluation. 50(2). 291–319.

3.

Dyvik, Helge, et al.. (2014). The Interplay Between Lexical and Syntactic Resources in Incremental Parsebanking. Language Resources and Evaluation. 1617–1624. 2 indexed citations

4.

Butt, Miriam, Tracy Holloway King, Helge Dyvik, et al.. (2013). ParGramBank: The ParGram Parallel Treebank. ANU Open Research (Australian National University). 550–560. 16 indexed citations

5.

Dyvik, Helge, et al.. (2013). The INESS Treebanking Infrastructure. DSpace repository (University of Tartu). 453–458. 1 indexed citations

6.

Dyvik, Helge, et al.. (2009). Linguistically motivated parallel parsebanks. Bergen Open Research Archive (BORA) (University of Bergen). 5 indexed citations

7.

Flickinger, Dan, Jan Tore Lønning, Helge Dyvik, Stephan Oepen, & Francis Bond. (2005). SEM-I Rational MT: Enriching Deep Grammars with a Semantic Interface for Scalable Machine Translation. 165–172. 10 indexed citations

8.

Oepen, Stephan, Helge Dyvik, Jan Tore Lønning, et al.. (2004). Som å kapp-ete med trollet? Towards MRS-based Norwegian-English machine translation. Figshare. 26 indexed citations

9.

Dyvik, Helge. (2003). Translations as a Semantic Knowledge Source. 16 indexed citations

10.

Butt, Miriam, Helge Dyvik, Tracy Holloway King, Hiroshi Masuichi, & Christian Röhrer. (2002). The Parallel Grammar project. 15. 1–7. 151 indexed citations

11.

Dyvik, Helge. (1994). Exploiting structural similarities in machine translation. Computers and the Humanities. 28(4-5). 225–234. 16 indexed citations

12.

Dyvik, Helge. (1991). Linguistics and Machine Translation. DSpace repository (University of Tartu). 67–78. 1 indexed citations

13.

Dyvik, Helge. (1988). Sentence Synthesis from Situation Schemata: A Unification-based Algorithm. Nordic Journal of Linguistics. 11(1-2). 17–32. 1 indexed citations

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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