Dagmar Gromann

608 total citations
26 papers, 114 citations indexed

About

Dagmar Gromann is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Dagmar Gromann has authored 26 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Experimental and Cognitive Psychology and 6 papers in Molecular Biology. Recurrent topics in Dagmar Gromann's work include Natural Language Processing Techniques (14 papers), Semantic Web and Ontologies (8 papers) and Topic Modeling (8 papers). Dagmar Gromann is often cited by papers focused on Natural Language Processing Techniques (14 papers), Semantic Web and Ontologies (8 papers) and Topic Modeling (8 papers). Dagmar Gromann collaborates with scholars based in Austria, Germany and United Kingdom. Dagmar Gromann's co-authors include Sebastian Rudolph, Thierry Declerck, Barbara Heinisch, Christian A. Lang, Michael Rovatsos, Gábor Bella, Aldo Gangemi, Jamie Macbeth, Christian Lång and Oliver Kutz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and Language Resources and Evaluation.

In The Last Decade

Dagmar Gromann

26 papers receiving 103 citations

Peers

Dagmar Gromann

AI

LL

MB

ECP

CVPR

Aurélie Herbelot Italy

Lea Frermann Australia

Rubén Urizar Spain

Harald Lüngen Germany

Didier Schwab France

Paula Carvalho Portugal

Varada Kolhatkar Canada

Antoni Oliver Spain

Yova Kementchedjhieva Denmark

Hugo Hernault Japan

Aurélie Herbelot Italy

Dagmar Gromann

204 ×2.3

AI

19 ×1.1

LL

11 ×0.7

MB

14 ×0.9

ECP

36 ×4.0

CVPR

Citations per year, relative to Dagmar Gromann Dagmar Gromann (= 1×) peers Aurélie Herbelot

Countries citing papers authored by Dagmar Gromann

Since Specialization

Citations

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

Fields of papers citing papers by Dagmar Gromann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Gromann

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

All Works

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20 of 20 papers shown

1.

Gromann, Dagmar, Elena‐Simona Apostol, Christian Chiarcos, et al.. (2024). Multilinguality and LLOD: A survey across linguistic description levels. Semantic Web. 15(5). 1915–1958. 6 indexed citations

2.

Gromann, Dagmar, et al.. (2023). Does GPT-3 Grasp Metaphors? Identifying Metaphor Mappings with Generative Language Models. Research Portal (King's College London). 1018–1032. 3 indexed citations

3.

Gromann, Dagmar, et al.. (2023). Translating non-binary coming-out reports: Gender-fair language strategies and use in news articles. The Journal of Specialised Translation. 213–240. 1 indexed citations

4.

Gangemi, Aldo, et al.. (2022). ImageSchemaNet: A framester graph for embodied commonsense knowledge. Semantic Web. 15(4). 1417–1441. 3 indexed citations

5.

Gromann, Dagmar, et al.. (2022). Drum Up SUPPORT: Systematic Analysis of Image-Schematic Conceptual Metaphors. 44–53. 3 indexed citations

6.

Lang, Christian A., et al.. (2021). Transforming Term Extraction: Transformer-Based Approaches to Multilingual Term Extraction Across Domains. 3607–3620. 13 indexed citations

7.

Gromann, Dagmar, et al.. (2021). Neural machine translating from natural language to SPARQL. Future Generation Computer Systems. 117. 510–519. 29 indexed citations

8.

Gangemi, Aldo & Dagmar Gromann. (2019). Analyzing the Imagistic Foundation of Framality via Prepositions.. 1 indexed citations

9.

Gromann, Dagmar. (2019). Neural language models for the multilingual, transcultural, and multimodal Semantic Web. Semantic Web. 11(1). 29–39. 7 indexed citations

10.

Gromann, Dagmar & Thierry Declerck. (2019). Towards the Detection and Formal Representation of Semantic Shifts in Inflectional Morphology.. 2 indexed citations

11.

Gromann, Dagmar & Thierry Declerck. (2018). Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task. Language Resources and Evaluation. 7 indexed citations

12.

Rovatsos, Michael, Dagmar Gromann, & Gábor Bella. (2018). The Taboo Challenge Competition. AI Magazine. 39(1). 84–87. 5 indexed citations

13.

Gromann, Dagmar & Jamie Macbeth. (2018). Crowdsourcing Image Schemas. Smith ScholarWorks (Smith College). 2347. 1 indexed citations

14.

Gromann, Dagmar, et al.. (2017). Estrategias de combinación de recursos lexicográficos en la adquisición de lenguas extranjeras (en contextos específicos). SHILAP Revista de lepidopterología. 11(23). 124–145. 1 indexed citations

15.

Macbeth, Jamie, et al.. (2017). Image Schemas and Conceptual Dependency Primitives: A Comparison. Smith ScholarWorks (Smith College). 2050. 2 indexed citations

16.

Gromann, Dagmar & Thierry Declerck. (2017). Hashtag Processing for Enhanced Clustering of Tweets. 277–283. 3 indexed citations

17.

Gromann, Dagmar, et al.. (2015). Where do Business Students Turn for Help? An Empirical Study on Dictionary Use in Foreign-language Learning. International Journal of Lexicography. 29(1). 55–99. 8 indexed citations

18.

Declerck, Thierry & Dagmar Gromann. (2012). Towards the generation of semantically enriched multilingual components of ontology labels. WU Research. 11–22. 1 indexed citations

19.

Declerck, Thierry & Dagmar Gromann. (2012). Combining three Ways of Conveying Knowledge: Modularization of Domain, Terminological, and Linguistic Knowledge in Ontologies.. WU Research. 4 indexed citations

20.

Gromann, Dagmar & Thierry Declerck. (2012). Terminology Harmonization in Industry Classification Standards. WU Research. 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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