Philip Arthur

518 total citations
13 papers, 170 citations indexed

About

Philip Arthur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiation. According to data from OpenAlex, Philip Arthur has authored 13 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Radiation. Recurrent topics in Philip Arthur's work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (3 papers). Philip Arthur is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (3 papers). Philip Arthur collaborates with scholars based in Japan, United States and United Kingdom. Philip Arthur's co-authors include Graham Neubig, Satoshi Nakamura, Xinyi Wang, Hieu Pham, Tomoki Toda, Sakriani Sakti, Shruti Palaskar, Laurent Besacier, Sarguna Janani Padmanabhan and John Hewitt and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Transactions of the Association for Computational Linguistics and Monash University Research Portal (Monash University).

In The Last Decade

Philip Arthur

13 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Arthur Japan 6 160 85 7 6 4 13 170
Qiaolin Xia China 5 182 1.1× 84 1.0× 13 1.9× 4 0.7× 6 1.5× 7 193
Sarguna Janani Padmanabhan United States 2 133 0.8× 60 0.7× 12 1.7× 7 1.2× 4 1.0× 2 148
Anwen Hu China 7 82 0.5× 83 1.0× 7 1.0× 4 0.7× 4 1.0× 17 143
Wenbiao Ding China 6 104 0.7× 67 0.8× 7 1.0× 14 2.3× 3 0.8× 12 139
Pranava Madhyastha United Kingdom 9 172 1.1× 136 1.6× 14 2.0× 7 1.2× 2 0.5× 24 211
Tristan Thrush Israel 6 151 0.9× 98 1.2× 11 1.6× 9 1.5× 2 0.5× 8 187
Rongxiang Weng China 9 162 1.0× 82 1.0× 7 1.0× 3 0.5× 2 0.5× 12 183
Jindřich Libovický Czechia 7 198 1.2× 92 1.1× 4 0.6× 11 1.8× 6 1.5× 23 212
Ke Tran Netherlands 7 180 1.1× 61 0.7× 14 2.0× 7 1.2× 8 2.0× 12 198
Stanislas Lauly United States 3 115 0.7× 36 0.4× 14 2.0× 12 2.0× 5 1.3× 3 130

Countries citing papers authored by Philip Arthur

Since Specialization
Citations

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

Fields of papers citing papers by Philip Arthur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Arthur

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

All Works

13 of 13 papers shown
1.
Zhao, Jinming, Philip Arthur, Gholamreza Haffari, Trevor Cohn, & Ehsan Shareghi. (2021). It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6707–6715. 2 indexed citations
2.
Arthur, Philip, et al.. (2021). Multilingual Simultaneous Neural Machine Translation. Monash University Research Portal (Monash University). 4758–4766. 1 indexed citations
3.
Scharenborg, Odette, Laurent Besacier, Alan W. Black, et al.. (2020). Speech Technology for Unwritten Languages. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 964–975. 11 indexed citations
4.
Wang, Xinyi, Hieu Pham, Philip Arthur, & Graham Neubig. (2019). Multilingual neural machine translation with soft decoupled encoding. Monash University Research Portal (Monash University). 16 indexed citations
5.
Neubig, Graham, Matthias Sperber, Xinyi Wang, et al.. (2018). XNMT: the eXtensible Neural Machine Translation toolkit. Monash University Research Portal (Monash University). 185–192. 13 indexed citations
6.
Oda, Yusuke, Philip Arthur, Graham Neubig, Koichiro Yoshino, & Satoshi Nakamura. (2017). Neural Machine Translation via Binary Code Prediction. 850–860. 7 indexed citations
7.
Arthur, Philip, Graham Neubig, & Satoshi Nakamura. (2016). Incorporating Discrete Translation Lexicons into Neural Machine Translation. 1557–1567. 101 indexed citations
8.
Arthur, Philip, Graham Neubig, Sakriani Sakti, Tomoki Toda, & Satoshi Nakamura. (2015). Semantic Parsing of Ambiguous Input through Paraphrasing and Verification. Transactions of the Association for Computational Linguistics. 3. 571–584. 5 indexed citations
9.
Neubig, Graham, Philip Arthur, & Kevin Duh. (2015). Multi-Target Machine Translation with Multi-Synchronous Context-free Grammars. 293–302. 4 indexed citations
10.
11.
Arthur, Philip, Graham Neubig, Sakriani Sakti, Tomoki Toda, & Satoshi Nakamura. (2013). Inter-sentence features and thresholded minimum error rate training: NAIST at CLEF 2013 QA4MRE. 2 indexed citations
12.
Arthur, Philip, Graham Neubig, Sakriani Sakti, Tomoki Toda, & Satoshi Nakamura. (2013). NAIST at the CLEF 2013 QA4MRE pilot task. 4 indexed citations
13.
Hurst, Gregory B., et al.. (2012). Signal analysis and data fusion methodologies. 18–21. 1 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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2026