Maria Nădejde

785 total citations
21 papers, 391 citations indexed

About

Maria Nădejde is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Maria Nădejde has authored 21 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 1 paper in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Maria Nădejde's work include Natural Language Processing Techniques (21 papers), Topic Modeling (17 papers) and Text Readability and Simplification (7 papers). Maria Nădejde is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (17 papers) and Text Readability and Simplification (7 papers). Maria Nădejde collaborates with scholars based in United Kingdom, United States and Germany. Maria Nădejde's co-authors include Rico Sennrich, Philipp Koehn, Alexandra Birch, Philip Williams, Marcin Junczys-Dowmunt, Barry Haddow, Antonio Valerio Miceli Barone, Orhan Fırat, Julian Hitschler and Samuel Läubli and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Edinburgh Research Explorer (University of Edinburgh) and University of Groningen research database (University of Groningen / Centre for Information Technology).

In The Last Decade

Maria Nădejde

21 papers receiving 350 citations

Peers

Maria Nădejde

CVPR

Isao Goto Japan

Roman Grundkiewicz United Kingdom

Markus Freitag Germany

Akiko Eriguchi Japan

Yujie Zhang China

Jindřich Helcl Czechia

Huda Khayrallah United States

Miquel Esplà-Gomis Spain

Gema Ramírez-Sánchez Spain

Shuangzhi Wu China

Isao Goto Japan

Maria Nădejde

350 ×0.9

101 ×0.9

CVPR

24 ×1.0

27 ×1.3

19 ×1.6

Citations per year, relative to Maria Nădejde Maria Nădejde (= 1×) peers Isao Goto

Countries citing papers authored by Maria Nădejde

Since Specialization

Citations

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

Fields of papers citing papers by Maria Nădejde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Nădejde

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Nădejde. A scholar is included among the top collaborators of Maria Nădejde 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 Maria Nădejde. Maria Nădejde 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

Hsu, Benjamin, Huayang Li, Maria Nădejde, et al.. (2024). M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation. 499–507. 2 indexed citations

Htut, Phu Mon, Xing Niu, Benjamin Hsu, et al.. (2023). RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. University of Groningen research database (University of Groningen / Centre for Information Technology). 1476–1490. 2 indexed citations

Currey, Anna, Maria Nădejde, Raghavendra Pappagari, et al.. (2022). MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. 4287–4299. 14 indexed citations

Nădejde, Maria, et al.. (2022). CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. 616–632. 14 indexed citations

Nădejde, Maria & Joel Tetreault. (2019). Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1. 27–33. 9 indexed citations

Napoles, Courtney, Maria Nădejde, & Joel Tetreault. (2019). Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses. Transactions of the Association for Computational Linguistics. 7. 551–566. 18 indexed citations

Nădejde, Maria, Siva Reddy, Rico Sennrich, et al.. (2017). Syntax-aware Neural Machine Translation Using CCG.. arXiv (Cornell University). 9 indexed citations

Nădejde, Maria, Siva Reddy, Rico Sennrich, et al.. (2017). Predicting Target Language CCG Supertags Improves Neural Machine Translation. Edinburgh Research Explorer. 26 indexed citations

Williams, Philip, Rico Sennrich, Maria Nădejde, et al.. (2016). Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers. 4 indexed citations

10.

Nădejde, Maria, Alexandra Birch, & Philipp Koehn. (2016). Proceedings of the First Conference on Machine Translation, Volume 1: Research Papers. 5 indexed citations

11.

Nădejde, Maria, Alexandra Birch, & Philipp Koehn. (2016). Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation. Edinburgh Research Explorer. 32–42. 2 indexed citations

12.

Williams, Philip, Rico Sennrich, Maria Nădejde, et al.. (2016). Edinburgh's Statistical Machine Translation Systems for WMT16. Edinburgh Research Explorer (University of Edinburgh). 399–410. 11 indexed citations

13.

Williams, Philip, Rico Sennrich, Maria Nădejde, Matthias Huck, & Philipp Koehn. (2015). Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015. 3 indexed citations

14.

Williams, Philip, Rico Sennrich, Maria Nădejde, Matthias Huck, & Philipp Koehn. (2015). Edinburgh's Syntax-Based Systems at WMT 2015. Edinburgh Research Explorer (University of Edinburgh). 199–209. 9 indexed citations

15.

Williams, Philip, Rico Sennrich, Maria Nădejde, et al.. (2014). Proceedings of the Ninth Workshop on Statistical Machine Translation. 30 indexed citations

16.

Williams, Philip F., Rico Sennrich, Maria Nădejde, et al.. (2014). Edinburgh’s Syntax-Based Systems at WMT 2014. 207–214. 8 indexed citations

17.

Freitag, Markus, Stephan Peitz, Joern Wuebker, et al.. (2014). EU-BRIDGE MT: Combined Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 105–113. 13 indexed citations

18.

Nădejde, Maria, Philip Williams, & Philipp Koehn. (2013). Edinburgh's Syntax-Based Machine Translation Systems. Workshop on Statistical Machine Translation. 170–176. 15 indexed citations

19.

Nădejde, Maria, Philip Williams, & Philipp Koehn. (2013). Proceedings of the Eighth Workshop on Statistical Machine Translation. 21 indexed citations

20.

Birch, Alexandra, Barry Haddow, Ulrich Germann, et al.. (2013). The Feasibility of HMEANT as a Human MT Evaluation Metric. Workshop on Statistical Machine Translation. 52–61. 9 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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