Ryo Nagata

2.4k total citations
53 papers, 534 citations indexed

About

Ryo Nagata is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Nuclear and High Energy Physics. According to data from OpenAlex, Ryo Nagata has authored 53 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 12 papers in Astronomy and Astrophysics and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Ryo Nagata's work include Natural Language Processing Techniques (33 papers), Topic Modeling (21 papers) and Text Readability and Simplification (13 papers). Ryo Nagata is often cited by papers focused on Natural Language Processing Techniques (33 papers), Topic Modeling (21 papers) and Text Readability and Simplification (13 papers). Ryo Nagata collaborates with scholars based in Japan, United States and France. Ryo Nagata's co-authors include Jun’ichi Yokoyama, Naoshi Sugiyama, Takeshi Chiba, Kiyotomo Ichiki, Toshiya Namikawa, Keisuke Sakaguchi, Naoki Isu, Hiroya Takamura, Jun’ichi Yokoyama and Kentaro Inui and has published in prestigious journals such as The Journal of Biochemistry, Physical review. D and Progress of Theoretical Physics.

In The Last Decade

Ryo Nagata

48 papers receiving 503 citations

Peers

Ryo Nagata
Cristina España-Bonet Germany
Zhenru Wang China
Rodney Kinney United States
W. Gässler Germany
Saif Rayyan United States
A. L. Read Norway
Eric Schulman United States
Bryan Ostdiek United States
Sanjay Padhi United States
Gerd Lanfermann Germany
Cristina España-Bonet Germany
Ryo Nagata
Citations per year, relative to Ryo Nagata Ryo Nagata (= 1×) peers Cristina España-Bonet

Countries citing papers authored by Ryo Nagata

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Nagata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Nagata

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Nagata. A scholar is included among the top collaborators of Ryo Nagata 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 Ryo Nagata. Ryo Nagata 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.
Nagata, Ryo, et al.. (2022). Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors. Findings of the Association for Computational Linguistics: ACL 2022. 4107–4118. 1 indexed citations
2.
Nagata, Ryo, et al.. (2021). Shared Task on Feedback Comment Generation for Language Learners. 320–324. 5 indexed citations
3.
Mizumoto, Tomoya, et al.. (2019). Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring. 316–325. 19 indexed citations
4.
Nagata, Ryo, et al.. (2018). Exploring the Influence of Spelling Errors on Lexical Variation Measures.. International Conference on Computational Linguistics. 2391–2398. 2 indexed citations
5.
Nagata, Ryo. (2018). A Method for Detecting Overgeneralized Be-Verb based on Subject-compliment Identification. 1 indexed citations
6.
Dotani, Tadayasu, Takashi Hasebe, M. Hazumi, et al.. (2018). The optical design and physical optics analysis of a cross-Dragonian telescope for LiteBIRD. 157–157. 4 indexed citations
7.
Takamura, Hiroya, et al.. (2017). Analyzing Semantic Change in Japanese Loanwords. 1195–1204. 8 indexed citations
8.
Takamura, Hiroya, et al.. (2016). Discriminative Analysis of Linguistic Features for Typological Study. Language Resources and Evaluation. 69–76. 9 indexed citations
9.
Nagata, Ryo. (2014). Language Family Relationship Preserved in Non-native English. International Conference on Computational Linguistics. 1940–1949. 3 indexed citations
10.
11.
Nagata, Ryo, et al.. (2013). Reconstructing an Indo-European Family Tree from Non-native English Texts. Meeting of the Association for Computational Linguistics. 1137–1147. 13 indexed citations
12.
Lavergne, Thomas, Gabriel Illouz, Aurélien Max, & Ryo Nagata. (2013). LIMSI’s participation to the 2013 shared task on Native Language Identification. 260–265. 2 indexed citations
13.
Nagata, Ryo, et al.. (2011). Creating a manually error-tagged and shallow-parsed learner corpus. Meeting of the Association for Computational Linguistics. 1. 1210–1219. 30 indexed citations
14.
Nagata, Ryo, et al.. (2010). Evaluating performance of grammatical error detection to maximize learning effect. International Conference on Computational Linguistics. 894–900. 21 indexed citations
15.
Nagata, Ryo, et al.. (2010). A Written Child Corpus with Editing History Tags. Journal of Natural Language Processing. 17(2). 51–65.
16.
Nagata, Ryo, et al.. (2009). Edu-mining for Book Recommendation for Pupils. Educational Data Mining. 91–100. 13 indexed citations
17.
Nagata, Ryo, et al.. (2006). Reinforcing English countability prediction with one countability per discourse property. 595–602. 4 indexed citations
18.
Nagata, Ryo, et al.. (2006). Recognizing article errors using prepositional information. Systems and Computers in Japan. 37(12). 17–26. 1 indexed citations
19.
20.
Nagata, Takashi, et al.. (1992). Mutagenicity studies of sodium hyaluronate (SH). 20(3). 65–72. 5 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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