Makoto Miwa
- Artificial Intelligence top 0.2%
- Topic Modeling 62
- Natural Language Processing Techniques 45
- Semantic Web and Ontologies 13
- Advanced Text Analysis Techniques 9
- Text and Document Classification Technologies 7
- Health Informatics top 1%
- Molecular Biology top 5%
- Biomedical Text Mining and Ontologies 57
- Bioinformatics and Genomic Networks 7
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- Computational Drug Discovery Methods 7
- Co-authors
- Sophia AnaniadouMohit BansalYutaka SasakiJun’ichi TsujiiAlison O’Mara-EvesJames ThomasJohn McNaughtRune Sætre
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (2 papers)Bioinformatics (8 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Makoto Miwa
99 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 3.1k
- Health Informatics 102
- Statistics, Probability and Uncertainty 331
- Management Science and Operations Research 325
- Molecular Biology 1.6k
Countries citing papers authored by Makoto Miwa
This map shows the geographic impact of Makoto Miwa'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 Makoto Miwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Miwa more than expected).
Fields of papers citing papers by Makoto Miwa
This network shows the impact of papers produced by Makoto Miwa. 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 Makoto Miwa. The network helps show where Makoto Miwa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makoto Miwa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 137 | |
| 8 | 2019 | 6 | |
| 9 | A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection. | 2019 | 1 |
| 10 | 2018 | 136 | |
| 11 | 2018 | 65 | |
| 12 | Utilizing Visual Forms of Japanese Characters for Neural Review Classification. | 2017 | 5 |
| 13 | Ensemble Classification of Grants using LDA-based Features. | 2016 | 1 |
| 14 | Comparable Study of Event Extraction in Newswire and Biomedical Domains | 2014 | 17 |
| 15 | Realizing a Four-Player Computer Mahjong Program by Supervised Learning with Isolated Multi-Player Aspects | 2014 | 4 |
| 16 | 2014 | 232 | |
| 17 | UTTime: Temporal Relation Classification using Deep Syntactic Features | 2013 | 31 |
| 18 | NaCTeM EventMine for BioNLP 2013 CG and PC tasks | 2013 | 24 |
| 19 | Entity-Focused Sentence Simplification for Relation Extraction | 2010 | 44 |
| 20 | A Comparative Study of Syntactic Parsers for Event Extraction | 2010 | 25 |
About Makoto Miwa
Makoto Miwa is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, having authored 105 papers that have together received 4.3k indexed citations. Recurring topics across this work include Topic Modeling (62 papers), Biomedical Text Mining and Ontologies (57 papers), Natural Language Processing Techniques (45 papers), Semantic Web and Ontologies (13 papers), Advanced Text Analysis Techniques (9 papers), Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (7 papers) and Text and Document Classification Technologies (7 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Health Informatics (102 citations) and Statistics, Probability and Uncertainty (331 citations). Makoto Miwa has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Sophia Ananiadou, Mohit Bansal, Yutaka Sasaki, Jun’ichi Tsujii, Alison O’Mara-Eves, James Thomas, John McNaught, Rune Sætre, Fenia Christopoulou and Mohammad Golam Sohrab. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.
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.