Eva Vanmassenhove

425 total citations
17 papers, 169 citations indexed

About

Eva Vanmassenhove is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eva Vanmassenhove has authored 17 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eva Vanmassenhove's work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Text Readability and Simplification (5 papers). Eva Vanmassenhove is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Text Readability and Simplification (5 papers). Eva Vanmassenhove collaborates with scholars based in Netherlands, Ireland and Italy. Eva Vanmassenhove's co-authors include Andy Way, Christian Hardmeier, Dimitar Shterionov, Chris Emmery, Johanna Monti, Fasih Haider, João P. Cabral, David Lewis, Jinhua Du and Wessel Reijers and has published in prestigious journals such as Expert Systems with Applications, Patterns and Linguistics in the Netherlands.

In The Last Decade

Eva Vanmassenhove

14 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Vanmassenhove Netherlands	7	151	20	18	10	7	17	169
Andreas van Cranenburgh Netherlands	10	162 1.1×	6 0.3×	8 0.4×	4 0.4×	13 1.9×	31	205
Miryam de Lhoneux Sweden	7	147 1.0×	23 1.1×	4 0.2×	4 0.4×	5 0.7×	17	161
Thierry Etchegoyhen Spain	7	122 0.8×	16 0.8×	45 2.5×	2 0.2×	7 1.0×	24	155
Emanuele Bugliarello Denmark	6	144 1.0×	85 4.3×	4 0.2×	6 0.6×	3 0.4×	15	182
Ninareh Mehrabi United States	5	65 0.4×	7 0.3×	3 0.2×	15 1.5×	6 0.9×	14	83
Shachi Dave United States	6	134 0.9×	24 1.2×	21 1.2×	2 0.2×	8 1.1×	10	147
Dagmar Gromann Austria	6	89 0.6×	9 0.5×	18 1.0×	5 0.5×	7 1.0×	26	114
Vera Axelrod United States	5	191 1.3×	15 0.8×	5 0.3×	12 1.2×	4 0.6×	6	210
Catherine Kobus France	5	188 1.2×	41 2.0×	11 0.6×	2 0.2×	16 2.3×	9	197
Qijun Tan United States	4	160 1.1×	34 1.7×	6 0.3×	2 0.2×	22 3.1×	5	174

Countries citing papers authored by Eva Vanmassenhove

Since Specialization

Citations

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

Fields of papers citing papers by Eva Vanmassenhove

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Vanmassenhove

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

All Works

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17 of 17 papers shown

Bastings, Jasmijn, et al.. (2025). A decade of gender bias in machine translation. Patterns. 6(6). 101257–101257.

Vanmassenhove, Eva, et al.. (2024). Simple integrated circuit reverse-engineering with deep learning: A proof of concept for automating die-polygon-capturing. Expert Systems with Applications. 261. 125479–125479. 1 indexed citations

Backus, Ad, Michael Cohen, Neil Cohn, et al.. (2023). Minds. Linguistics in the Netherlands. 40. 301–308. 1 indexed citations

Vanmassenhove, Eva, et al.. (2022). “Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings. 125–130.

Vanmassenhove, Eva & Johanna Monti. (2021). gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena. Research portal (Tilburg University). 7 indexed citations

Vanmassenhove, Eva, Chris Emmery, & Dimitar Shterionov. (2021). NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 19 indexed citations

Vanmassenhove, Eva, et al.. (2020). A Case Study of Natural Gender Phenomena in Translation. A Comparison of Google Translate, Bing Microsoft Translator and DeepL for English to Italian, French and Spanish. Industrias Culturais (Universidade de Coimbra). 359–364. 5 indexed citations

Vanmassenhove, Eva, Amit Moryossef, Alberto Poncelas, Andy Way, & Dimitar Shterionov. (2019). ABI Neural Ensemble Model for Gender Prediction.. 53–61. 1 indexed citations

Vanmassenhove, Eva, Dimitar Shterionov, & Andy Way. (2019). Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. 222–232. 12 indexed citations

10.

Vanmassenhove, Eva & Christian Hardmeier. (2018). Europarl Datasets with Demographic Speaker Information. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 7 indexed citations

11.

Vanmassenhove, Eva & Andy Way. (2018). SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags. Dublin City University Open Access Institutional Repository (Dublin City University). 67–73. 1 indexed citations

12.

Vanmassenhove, Eva, Christian Hardmeier, & Andy Way. (2018). Getting Gender Right in Neural Machine Translation. arXiv (Cornell University). 3003–3008. 91 indexed citations

13.

Vanmassenhove, Eva, Jinhua Du, & Andy Way. (2017). Investigating 'Aspect' in NMT and SMT: translating the English simple past and present perfect. Dublin City University Open Access Institutional Repository (Dublin City University). 5 indexed citations

14.

Moorkens, Joss, David Lewis, Wessel Reijers, Eva Vanmassenhove, & Andy Way. (2016). Translation resources and translator disempowerment. Arrow@dit (Dublin Institute of Technology). 8 indexed citations

15.

Vanmassenhove, Eva, Jinhua Du, & Andy Way. (2016). Improving subject-verb agreement in SMT. Arrow@dit (Dublin Institute of Technology). 2 indexed citations

16.

Cabral, João P., et al.. (2016). The ADAPT entry to the Blizzard Challenge 2016. 23–28. 1 indexed citations

17.

Vanmassenhove, Eva, João P. Cabral, & Fasih Haider. (2016). Prediction of Emotions from Text using Sentiment Analysis for Expressive Speech Synthesis. 21–26. 8 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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