Raj Dabre

1.4k total citations
70 papers, 527 citations indexed

About

Raj Dabre is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Raj Dabre has authored 70 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 5 papers in Language and Linguistics. Recurrent topics in Raj Dabre's work include Natural Language Processing Techniques (64 papers), Topic Modeling (51 papers) and Multimodal Machine Learning Applications (19 papers). Raj Dabre is often cited by papers focused on Natural Language Processing Techniques (64 papers), Topic Modeling (51 papers) and Multimodal Machine Learning Applications (19 papers). Raj Dabre collaborates with scholars based in Japan, India and United Kingdom. Raj Dabre's co-authors include Chenhui Chu, Sadao Kurohashi, Atsushi Fujita, Anoop Kunchukuttan, Eiichiro Sumita, Mitesh M. Khapra, Toshiaki Nakazawa, Ondřej Bojar, Hideto Kazawa and Chenchen Ding and has published in prestigious journals such as ACM Computing Surveys, Language Resources and Evaluation and Machine Translation.

In The Last Decade

Raj Dabre

61 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raj Dabre Japan 12 486 198 36 31 16 70 527
Albert Sanchís Spain 11 293 0.6× 52 0.3× 67 1.9× 10 0.3× 10 0.6× 27 327
Jindřich Helcl Czechia 9 282 0.6× 126 0.6× 10 0.3× 11 0.4× 12 0.8× 16 304
Zhongjun He China 14 599 1.2× 163 0.8× 16 0.4× 38 1.2× 28 1.8× 37 651
Genichiro Kikui Japan 13 593 1.2× 61 0.3× 36 1.0× 21 0.7× 34 2.1× 51 610
Eunah Cho Germany 13 441 0.9× 91 0.5× 12 0.3× 10 0.3× 26 1.6× 41 463
Adrià Giménez Spain 11 209 0.4× 102 0.5× 63 1.8× 10 0.3× 8 0.5× 23 272
Evgeny Matusov Germany 19 909 1.9× 98 0.5× 21 0.6× 38 1.2× 34 2.1× 45 933
Dan Garrette United States 11 468 1.0× 115 0.6× 9 0.3× 13 0.4× 41 2.6× 23 507
Arianna Bisazza Netherlands 11 553 1.1× 121 0.6× 6 0.2× 35 1.1× 31 1.9× 47 585
Roee Aharoni Israel 12 541 1.1× 156 0.8× 10 0.3× 12 0.4× 40 2.5× 27 576

Countries citing papers authored by Raj Dabre

Since Specialization
Citations

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

Fields of papers citing papers by Raj Dabre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raj Dabre

This figure shows the co-authorship network connecting the top 25 collaborators of Raj Dabre. A scholar is included among the top collaborators of Raj Dabre 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 Raj Dabre. Raj Dabre 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.
Sankar, Ananth, Sumanth Doddapaneni, Anoop Kunchukuttan, et al.. (2024). IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. 15831–15879. 5 indexed citations
2.
4.
Doddapaneni, Sumanth, et al.. (2024). A Comprehensive Analysis of Adapter Efficiency. 136–154. 6 indexed citations
7.
Dabre, Raj, et al.. (2023). Low-resource Multilingual Neural Translation Using Linguistic Feature-based Relevance Mechanisms. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(7). 1–36. 6 indexed citations
8.
Dabre, Raj, et al.. (2022). IndicBART: A Pre-trained Model for Indic Natural Language Generation. Findings of the Association for Computational Linguistics: ACL 2022. 1849–1863. 32 indexed citations
9.
Kanojia, Diptesh, et al.. (2020). Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages. Monash University Research Portal (Monash University). 1384–1395. 1 indexed citations
11.
Dabre, Raj, et al.. (2018). NICT’s Participation in WAT 2018: Approaches Using Multilingualism and Recurrently Stacked Layers. Waseda University Repository (Waseda University). 6 indexed citations
12.
Dabre, Raj, Tetsuji Nakagawa, & Hideto Kazawa. (2017). An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation. Waseda University Repository (Waseda University). 282–286. 23 indexed citations
13.
Nakazawa, Toshiaki, et al.. (2017). Neural Machine Translation: Basics, Practical Aspects and Recent Trends. International Joint Conference on Natural Language Processing. 11–13. 1 indexed citations
14.
Dabre, Raj, et al.. (2017). An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation. 7. 1 indexed citations
15.
Chu, Chenhui, Raj Dabre, & Sadao Kurohashi. (2016). Parallel Sentence Extraction from Comparable Corpora with Neural Network Features. Language Resources and Evaluation. 2931–2935. 5 indexed citations
16.
Dabre, Raj, et al.. (2016). Kyoto University Participation to WAT 2016. International Conference on Computational Linguistics. 146–153. 4 indexed citations
17.
Kunchukuttan, Anoop, et al.. (2015). Augmenting Pivot based SMT with word segmentation. 303–307. 2 indexed citations
18.
Dabre, Raj, et al.. (2015). Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features. Waseda University Repository (Waseda University). 289–297. 3 indexed citations
19.
Kanojia, Diptesh, Manish Shrivastava, Raj Dabre, & Pushpak Bhattacharyya. (2014). PaCMan : Parallel Corpus Management Workbench. 162–166. 1 indexed citations
20.
Dabre, Raj, et al.. (2012). Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi. International Conference on Computational Linguistics. 225–234. 4 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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