Masato Mita

59 total papers · 447 total citations
25 papers, 219 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 219 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, Masato Hagiwara, Ryo Nagata, Mamoru Komachi, Yūji Matsumoto and Zizheng Zhang 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

19 papers receiving 200 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Masato Mita	211	22	11	5	4	25	219
Eric Joanis	202 1.0×	16 0.7×	12 1.1×	2 0.4×	7 1.8×	15	214
Silvie Cinková	308 1.5×	14 0.6×	10 0.9×	2 0.4×	3 0.8×	28	311
Eric Kow	300 1.4×	35 1.6×	23 2.1×	6 1.2×	2 0.5×	25	318
Matthias Gallé	116 0.5×	31 1.4×	15 1.4×	5 1.0×	2 0.5×	25	145
Upendra V. Chaudhari	281 1.3×	14 0.6×	11 1.0×	4 0.8×	1 0.3×	27	300
Ai Ti Aw	206 1.0×	27 1.2×	19 1.7×	2 0.4×	1 0.3×	20	217
Natalie Schluter	237 1.1×	22 1.0×	16 1.5×	3 0.6×	2 0.5×	23	256
Tommi A. Pirinen	146 0.7×	13 0.6×	14 1.3×	7 1.4×	6 1.5×	29	166
Yunsu Kim	142 0.7×	50 2.3×	13 1.2×	2 0.4×		23	167
Keqing He	239 1.1×	47 2.1×	13 1.2×	3 0.6×		28	256

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

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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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