Verna Dankers

654 total citations
14 papers, 270 citations indexed

About

Verna Dankers is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Verna Dankers has authored 14 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Experimental and Cognitive Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Verna Dankers's work include Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Language, Metaphor, and Cognition (4 papers). Verna Dankers is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Language, Metaphor, and Cognition (4 papers). Verna Dankers collaborates with scholars based in Netherlands, United Kingdom and Spain. Verna Dankers's co-authors include Dieuwke Hupkes, Elia Bruni, Mathijs Mul, Ekaterina Shutova, Marek Rei, Ivan Titov, Christopher J. Lucas, Agneta H. Fischer, Adina Williams and Koustuv Sinha and has published in prestigious journals such as Journal of Artificial Intelligence Research, Nature Machine Intelligence and UvA-DARE (University of Amsterdam).

In The Last Decade

Verna Dankers

12 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verna Dankers Netherlands 9 228 53 52 22 16 14 270
Vasilis Karaiskos United Kingdom 6 328 1.4× 53 1.0× 45 0.9× 25 1.1× 23 1.4× 8 416
Johannes Bjerva Denmark 12 325 1.4× 30 0.6× 43 0.8× 5 0.2× 24 1.5× 46 364
John K. Pate Australia 7 234 1.0× 62 1.2× 28 0.5× 11 0.5× 24 1.5× 16 338
Tim Van de Cruys France 11 292 1.3× 58 1.1× 33 0.6× 12 0.5× 20 1.3× 34 400
Diptesh Kanojia India 10 208 0.9× 14 0.3× 43 0.8× 7 0.3× 25 1.6× 50 246
Casey Kennington United States 11 284 1.2× 29 0.5× 67 1.3× 65 3.0× 27 1.7× 50 355
Matej Martinc Slovenia 9 230 1.0× 23 0.4× 11 0.2× 17 0.8× 37 2.3× 32 289
Anna Gladkova Japan 7 222 1.0× 35 0.7× 15 0.3× 9 0.4× 11 0.7× 9 291
Nancy Chang United States 9 356 1.6× 62 1.2× 75 1.4× 20 0.9× 44 2.8× 18 439

Countries citing papers authored by Verna Dankers

Since Specialization
Citations

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

Fields of papers citing papers by Verna Dankers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verna Dankers

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

All Works

14 of 14 papers shown
1.
2.
Hupkes, Dieuwke, Mario Giulianelli, Verna Dankers, et al.. (2023). A taxonomy and review of generalization research in NLP. Nature Machine Intelligence. 5(10). 1161–1174. 29 indexed citations
3.
Dankers, Verna, et al.. (2023). Paper Bullets: Modeling Propaganda with the Help of Metaphor. 472–489. 3 indexed citations
4.
Wang, Tianlu, et al.. (2022). Text Characterization Toolkit (TCT). 72–87. 1 indexed citations
5.
Dankers, Verna, Christopher J. Lucas, & Ivan Titov. (2022). Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3608–3626. 21 indexed citations
6.
Dankers, Verna & Ivan Titov. (2022). Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. UvA-DARE (University of Amsterdam). 4361–4378.
7.
Dankers, Verna, et al.. (2022). Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8503–8520. 4 indexed citations
8.
Dankers, Verna, Elia Bruni, & Dieuwke Hupkes. (2022). The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4154–4175. 28 indexed citations
9.
Dankers, Verna, et al.. (2021). Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network. 94–108. 8 indexed citations
10.
Dankers, Verna, et al.. (2020). Being neighbourly: Neural metaphor identification in discourse. 227–234. 12 indexed citations
11.
Hupkes, Dieuwke, Verna Dankers, Mathijs Mul, & Elia Bruni. (2020). Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). 5065–5069. 9 indexed citations
12.
Dankers, Verna, et al.. (2020). The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse. UvA-DARE (University of Amsterdam). 4479–4488. 26 indexed citations
13.
Hupkes, Dieuwke, Verna Dankers, Mathijs Mul, & Elia Bruni. (2020). Compositionality Decomposed: How do Neural Networks Generalise?. Journal of Artificial Intelligence Research. 67. 757–795. 82 indexed citations
14.
Dankers, Verna, et al.. (2019). Modelling the interplay of metaphor and emotion through multitask learning. UvA-DARE (University of Amsterdam). 47 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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