Masato Mita

449 total citations
25 papers, 223 citations indexed

About

Masato Mita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Organic Chemistry. According to data from OpenAlex, Masato Mita has authored 25 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Organic Chemistry. Recurrent topics in Masato Mita's work include Natural Language Processing Techniques (21 papers), Topic Modeling (20 papers) and Text Readability and Simplification (9 papers). Masato Mita is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (20 papers) and Text Readability and Simplification (9 papers). Masato Mita collaborates with scholars based in Japan. Masato Mita's co-authors include Jun Suzuki, Kentaro Inui, Shun Kiyono, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Mamoru Komachi, Masato Hagiwara, Zizheng Zhang and Yūji Matsumoto and has published in prestigious journals such as Journal of Organometallic Chemistry, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Masato Mita

20 papers receiving 207 citations

Peers

Masato Mita
Comparison fields: 5 of 23
  • Artificial Intelligence 214
  • Computer Vision and Pattern Recognition 22
  • Information Systems 13
  • Software 5
  • Developmental and Educational Psychology 4
Replace Ivana Balažević with:
Ivana Balažević United Kingdom
Liane Guillou United Kingdom
Marco Dinarelli France
Marie-Anne Lachaux Israel
Marzieh Fadaee Netherlands
Max Glockner Germany
Andreas Rücklé Germany
Erick Fonseca Brazil
Wael Salloum United States
Jifan Chen United States
Ivana Balažević United Kingdom View profile →
Citations per field, relative to Masato Mita
Masato Mita · 1×
Citations per year, relative to Masato Mita
Masato Mita · 1×

Countries citing papers authored by Masato Mita

Since Specialization
Citations

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

Fields of papers citing papers by Masato Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Mita

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Mita. A scholar is included among the top collaborators of Masato Mita 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 Masato Mita. Masato Mita 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
# Work Indexed citations
1 0
2 1
3 0
4 1
5 1
6 1
7 1
8 0
9 1
10 0
11 5
12 3
13 1
14 4
15 83
16 7
17 5
18 3
19
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
2
20 84

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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