Rajen Chatterjee

1.4k total citations
24 papers, 448 citations indexed

About

Rajen Chatterjee is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rajen Chatterjee has authored 24 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rajen Chatterjee's work include Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Text Readability and Simplification (5 papers). Rajen Chatterjee is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Text Readability and Simplification (5 papers). Rajen Chatterjee collaborates with scholars based in Italy, United Kingdom and India. Rajen Chatterjee's co-authors include Marco Turchi, Matteo Negri, Christian Federmann, Lucia Specia, Carolina Scarton, Ondřej Bojar, Varvara Logacheva, Philipp Koehn, Matt Post and Christof Monz and has published in prestigious journals such as Language Resources and Evaluation, UvA-DARE (University of Amsterdam) and Institutional Research Information System (Università degli Studi di Trento).

In The Last Decade

Rajen Chatterjee

23 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajen Chatterjee Italy 12 441 90 43 25 17 24 448
Akiko Eriguchi Japan 6 305 0.7× 153 1.7× 35 0.8× 14 0.6× 8 0.5× 12 320
Yujie Zhang China 10 302 0.7× 58 0.6× 30 0.7× 21 0.8× 9 0.5× 50 320
Isao Goto Japan 10 350 0.8× 101 1.1× 24 0.6× 27 1.1× 19 1.1× 32 376
Kashif Shah United Kingdom 10 311 0.7× 51 0.6× 36 0.8× 14 0.6× 9 0.5× 24 328
Maria Nădejde United Kingdom 10 369 0.8× 112 1.2× 25 0.6× 21 0.8× 12 0.7× 21 391
Chi-kiu Lo Hong Kong 12 441 1.0× 65 0.7× 33 0.8× 17 0.7× 8 0.5× 39 443
Roman Grundkiewicz United Kingdom 9 372 0.8× 71 0.8× 26 0.6× 11 0.4× 9 0.5× 24 400
Yajuan Lü China 10 453 1.0× 85 0.9× 30 0.7× 55 2.2× 19 1.1× 29 471
Shuangzhi Wu China 12 345 0.8× 125 1.4× 29 0.7× 8 0.3× 9 0.5× 26 367
Raymond Hendy Susanto Singapore 7 473 1.1× 69 0.8× 36 0.8× 12 0.5× 7 0.4× 10 493

Countries citing papers authored by Rajen Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Rajen Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajen Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Rajen Chatterjee. A scholar is included among the top collaborators of Rajen Chatterjee 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 Rajen Chatterjee. Rajen Chatterjee 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.
Blain, Frédéric, José G. C. de Souza, Diptesh Kanojia, et al.. (2024). Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE?. 82–109. 1 indexed citations
2.
Bhattacharyya, Pushpak, Rajen Chatterjee, Markus Freitag, et al.. (2023). Findings of the WMT 2023 Shared Task on Automatic Post-Editing. 672–681. 4 indexed citations
3.
Chatterjee, Rajen, et al.. (2020). Findings of the WMT 2020 Shared Task on Automatic Post-Editing. 646–659. 6 indexed citations
4.
Chatterjee, Rajen, et al.. (2019). Empirical Evaluation of Active Learning Techniques for Neural MT. 84–93. 8 indexed citations
5.
Chatterjee, Rajen, Christian Federmann, Matteo Negri, & Marco Turchi. (2019). Findings of the WMT 2019 Shared Task on Automatic Post-Editing. 11–28. 40 indexed citations
6.
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
7.
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
8.
Chatterjee, Rajen, Matteo Negri, Raphaël Rubino, & Marco Turchi. (2018). Findings of the WMT 2018 Shared Task on Automatic Post-Editing. 710–725. 15 indexed citations
9.
Turchi, Marco, Matteo Negri, & Rajen Chatterjee. (2018). WMT18 APE Shared Task: En-DE NMT Train and Dev Data. Americanae (AECID Library). 1 indexed citations
10.
Chatterjee, Rajen, M. Amin Farajian, Matteo Negri, et al.. (2017). Multi-source Neural Automatic Post-Editing: FBK’s participation in the WMT 2017 APE shared task. 630–638. 22 indexed citations
11.
Chatterjee, Rajen, Matteo Negri, Marco Turchi, et al.. (2017). Guiding Neural Machine Translation Decoding with External Knowledge. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 157–168. 35 indexed citations
12.
Turchi, Marco, Rajen Chatterjee, & Matteo Negri. (2017). WMT17 En-De APE Shared Task Data. Americanae (AECID Library). 2 indexed citations
13.
Chatterjee, Rajen, José G. C. de Souza, Matteo Negri, & Marco Turchi. (2016). The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task. 745–750. 11 indexed citations
14.
Chatterjee, Rajen, Mihael Arčan, Matteo Negri, & Marco Turchi. (2016). Instance selection for online automatic post-editing in a multi-domain scenario. Arrow@dit (Dublin Institute of Technology). 1–15. 1 indexed citations
15.
Chatterjee, Rajen, Marco Turchi, & Matteo Negri. (2015). The FBK Participation in the WMT15 Automatic Post-editing Shared Task. 210–215. 18 indexed citations
16.
17.
Bojar, Ondřej, Rajen Chatterjee, Christian Federmann, et al.. (2015). Findings of the 2015 Workshop on Statistical Machine Translation. UvA-DARE (University of Amsterdam). 1–46. 159 indexed citations
18.
Kunchukuttan, Anoop, Abhijit Mishra, Rajen Chatterjee, Ritesh Shah, & Pushpak Bhattacharyya. (2014). Shata-Anuvadak: Tackling Multiway Translation of Indian Languages. Language Resources and Evaluation. 1781–1787. 19 indexed citations
19.
Chatterjee, Rajen, Anoop Kunchukuttan, & Pushpak Bhattacharyya. (2014). Supertag Based Pre-ordering in Machine Translation.. 30–38. 1 indexed citations
20.
Kunchukuttan, Anoop, Rajen Chatterjee, Shourya Roy, Abhijit Mishra, & Pushpak Bhattacharyya. (2013). TransDoop: A Map-Reduce based Crowdsourced Translation for Complex Domain. Institutional Research Information System (Università degli Studi di Trento). 175–180.

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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