Marco Turchi

6.2k total citations
136 papers, 2.8k citations indexed

About

Marco Turchi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Marco Turchi has authored 136 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Marco Turchi's work include Natural Language Processing Techniques (117 papers), Topic Modeling (105 papers) and Semantic Web and Ontologies (21 papers). Marco Turchi is often cited by papers focused on Natural Language Processing Techniques (117 papers), Topic Modeling (105 papers) and Semantic Web and Ontologies (21 papers). Marco Turchi collaborates with scholars based in Italy, United Kingdom and United States. Marco Turchi's co-authors include Matteo Negri, Nello Cristianini, Alessia Mammone, Alexandra Balahur, Lucia Specia, Marcello Federico, Mattia Antonino Di Gangi, Rajen Chatterjee, Roldano Cattoni and Luisa Bentivogli and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Affective Computing.

In The Last Decade

Marco Turchi

132 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Turchi Italy 26 2.4k 372 260 157 126 136 2.8k
Holger Schwenk France 26 3.5k 1.5× 816 2.2× 264 1.0× 317 2.0× 142 1.1× 93 3.8k
Rico Sennrich Switzerland 27 2.7k 1.1× 944 2.5× 224 0.9× 97 0.6× 131 1.0× 109 3.1k
Éric Gaussier France 21 1.3k 0.6× 266 0.7× 251 1.0× 142 0.9× 199 1.6× 70 1.8k
Keith Hall United States 19 1.9k 0.8× 289 0.8× 226 0.9× 125 0.8× 100 0.8× 72 2.3k
Cyril Goutte Canada 21 1.5k 0.6× 291 0.8× 173 0.7× 244 1.6× 188 1.5× 78 2.3k
Dilek Hakkani‐Tür United States 36 4.4k 1.8× 575 1.5× 308 1.2× 434 2.8× 67 0.5× 189 4.7k
Xiaohua Liu China 20 1.7k 0.7× 290 0.8× 486 1.9× 80 0.5× 56 0.4× 89 2.2k
John Makhoul United States 19 2.8k 1.2× 597 1.6× 239 0.9× 489 3.1× 147 1.2× 78 3.2k
Deyi Xiong China 24 2.1k 0.9× 648 1.7× 179 0.7× 61 0.4× 147 1.2× 180 2.4k
Galen Andrew United States 10 1.2k 0.5× 712 1.9× 141 0.5× 168 1.1× 110 0.9× 13 1.9k

Countries citing papers authored by Marco Turchi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Turchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Turchi

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

All Works

20 of 20 papers shown
1.
Negri, Matteo, et al.. (2022). Does Simultaneous Speech Translation need Simultaneous Models?. Institutional Research Information System (Università degli Studi di Trento). 141–153. 5 indexed citations
2.
Chatterjee, Rajen, et al.. (2020). Findings of the WMT 2020 Shared Task on Automatic Post-Editing. 646–659. 6 indexed citations
3.
Negri, Matteo, Marco Turchi, Rajen Chatterjee, & Nicola Bertoldi. (2018). ESCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing. Language Resources and Evaluation. 24–30. 32 indexed citations
4.
Chatterjee, Rajen, Matteo Negri, Marco Turchi, Frédéric Blain, & Lucia Specia. (2018). Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 1. 26–38. 11 indexed citations
5.
Ataman, Duygu, Matteo Negri, Marco Turchi, & Marcello Federico. (2017). Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English. SHILAP Revista de lepidopterología. 46 indexed citations
6.
Negri, Matteo, Marco Turchi, José G. C. de Souza, & Daniele Falavigna. (2014). Quality Estimation for Automatic Speech Recognition. International Conference on Computational Linguistics. 1813–1823. 20 indexed citations
7.
Federico, Marcello, Nicola Bertoldi, Mauro Cettolo, et al.. (2014). THE MATECAT TOOL. International Conference on Computational Linguistics. 129–132. 37 indexed citations
8.
Shah, Kashif, Marco Turchi, & Lucia Specia. (2014). An efficient and user-friendly tool for machine translation quality estimation. Language Resources and Evaluation. 3560–3564. 5 indexed citations
9.
Turchi, Marco & Matteo Negri. (2014). Automatic Annotation of Machine Translation Datasets with Binary Quality Judgements. Language Resources and Evaluation. 1788–1792. 3 indexed citations
10.
Turchi, Marco, Matteo Negri, & Marcello Federico. (2013). Coping with the Subjectivity of Human Judgements in MT Quality Estimation. Workshop on Statistical Machine Translation. 240–251. 22 indexed citations
11.
Turchi, Marco & Matteo Negri. (2013). ALTN: Word Alignment Features for Cross-lingual Textual Entailment. Joint Conference on Lexical and Computational Semantics. 2. 128–132. 3 indexed citations
12.
Balahur, Alexandra & Marco Turchi. (2013). Improving Sentiment Analysis in Twitter Using Multilingual Machine Translated Data. Recent Advances in Natural Language Processing. 49–55. 25 indexed citations
13.
Balahur, Alexandra & Marco Turchi. (2012). Multilingual Sentiment Analysis using Machine Translation. Meeting of the Association for Computational Linguistics. 52–60. 71 indexed citations
14.
Balahur, Alexandra & Marco Turchi. (2012). Comparative Experiments for Multilingual Sentiment Analysis using Machine Translation. Joint Research Centre (European Commission). 75–86. 10 indexed citations
15.
Steinberger, Josef & Marco Turchi. (2012). Machine Translation for Multilingual Summary Content Evaluation. North American Chapter of the Association for Computational Linguistics. 19–27. 2 indexed citations
16.
Tomeh, Nadi, et al.. (2011). How Good Are Your Phrases? Assessing Phrase Quality with Single Class Classification. Joint Research Centre (European Commission). 261–268. 5 indexed citations
17.
Ehrmann, Maud, Marco Turchi, & Ralf Steinberger. (2011). Building a Multilingual Named Entity-Annotated Corpus Using Annotation Projection. Recent Advances in Natural Language Processing. 118–124. 34 indexed citations
18.
Steinberger, Josef, Mijail A. Kabadjov, Ralf Steinberger, et al.. (2011). JRC's Participation at TAC 2011: Guided and Multilingual Summarization Tasks. Theory and applications of categories. 14 indexed citations
19.
Turchi, Marco, Vanni Zavarella, & Hristo Tanev. (2011). Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation. Recent Advances in Natural Language Processing. 371–377. 3 indexed citations
20.
Steinberger, Josef, Marco Turchi, Mijail Kabadjov, Ralf Steinberger, & Nello Cristianini. (2010). Wrapping up a Summary: From Representation to Generation. Meeting of the Association for Computational Linguistics. 382–386. 6 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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