Ryo Nagata

2.4k citations
53 papers · 534 indexed · h-index 15

Ryo Nagata

48 papers receiving 503 citations

Peers

Ryo Nagata
Comparison fields: 5 of 59
  • Astronomy and Astrophysics 256
  • Nuclear and High Energy Physics 187
  • Artificial Intelligence 231
  • Computer Science Applications 21
  • Oceanography 34
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Citations per year

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

The 25 scholars most cited alongside Ryo Nagata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryo Nagata Line = papers co-authored together Ryo Nagata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 20215
3 201919
4
Exploring the Influence of Spelling Errors on Lexical Variation Measures.
20182
5
A Method for Detecting Overgeneralized Be-Verb based on Subject-compliment Identification
20181
6 20184
7 20178
8
Discriminative Analysis of Linguistic Features for Typological Study
20169
9
Language Family Relationship Preserved in Non-native English
20143
10 20147
11
Reconstructing an Indo-European Family Tree from Non-native English Texts
201313
12
LIMSI’s participation to the 2013 shared task on Native Language Identification
20132
13
Creating a manually error-tagged and shallow-parsed learner corpus
201130
14
Evaluating performance of grammatical error detection to maximize learning effect
201021
15 20100
16
Edu-mining for Book Recommendation for Pupils
200913
17 20064
18 20061
19 19996
20
Mutagenicity studies of sodium hyaluronate (SH)
19925

About Ryo Nagata

Ryo Nagata is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 53 papers that have together received 534 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (33 papers), Topic Modeling (21 papers), Text Readability and Simplification (13 papers), Cosmology and Gravitation Theories (12 papers), Black Holes and Theoretical Physics (6 papers), Dark Matter and Cosmic Phenomena (5 papers), Educational Technology and Assessment (4 papers) and Geophysics and Gravity Measurements (4 papers). The work is most often cited by research in Astronomy and Astrophysics (256 citations), Nuclear and High Energy Physics (187 citations) and Artificial Intelligence (231 citations). Ryo Nagata has collaborated with scholars based in Japan, United States and France. Frequent 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. Their work appears in journals such as The Journal of Biochemistry, Physical review. D and Progress of Theoretical Physics.

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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