Hideki Mima
- Artificial Intelligence top 2%
- Molecular Biology
- Information Systems top 5%
- Language and Linguistics top 5%
- Management Science and Operations Research
- Co-authors
- Sophia AnaniadouKaterina T. FrantziJun’ichi TsujiiOsamu FuruseGoran NenadićHitoshi IidaIrena SpasićSusumu Ota
- Topics
- Natural Language Processing Techniques (16 papers)Semantic Web and Ontologies (13 papers)Biomedical Text Mining and Ontologies (10 papers)
- Journals
- Information SciencesInternational Journal of Medical InformaticsLanguage Resources and Evaluation
- Partner nations
- JapanUnited KingdomSweden
In The Last Decade
Hideki Mima
26 papers receiving 621 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 571
- Molecular Biology 231
- Information Systems 140
- Language and Linguistics 64
- Management Science and Operations Research 20
Countries citing papers authored by Hideki Mima
This map shows the geographic impact of Hideki Mima'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 Hideki Mima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Mima more than expected).
Fields of papers citing papers by Hideki Mima
This network shows the impact of papers produced by Hideki Mima. 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 Hideki Mima. The network helps show where Hideki Mima may publish in the future.
Co-authorship network of co-authors of Hideki Mima
This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Mima. A scholar is included among the top collaborators of Hideki Mima 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 Hideki Mima. Hideki Mima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | Integrating Multiple Dependency Corpora for Inducing Wide-coverage Japanese CCG Resources | 7 |
| 7 | A Japanese Particle Corpus Built by Example-Based Annotation. | 2 |
| 8 | 1 | |
| 9 | 9 | |
| 10 | Design and Implementation of a Terminology-based Literature Mining and Knowledge Structuring System | 2 |
| 11 | 31 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | Automatic recognition of multi-word terms:. the C-value/NC-value methodbreakdown → | 521 |
| 16 | A Web-based integrated knowledge mining aid system using term-oriented Natural Language Processing | 4 |
| 17 | The C-value / Example-based approach to the automatic recognition of multi-word terms for cross-language terminology | 3 |
| 18 | 3 | |
| 19 | 15 | |
| 20 | 3 |
About Hideki Mima
Hideki Mima is a scholar working on Artificial Intelligence, Computer Science Applications and General Social Sciences, having authored 27 papers that have together received 690 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Semantic Web and Ontologies (13 papers) and Biomedical Text Mining and Ontologies (10 papers). The work is most often cited by research in Artificial Intelligence (571 citations), Information Systems (140 citations) and Language and Linguistics (64 citations). Hideki Mima has collaborated with scholars based in Japan, United Kingdom and Sweden. Frequent co-authors include Sophia Ananiadou, Katerina T. Frantzi, Jun’ichi Tsujii, Osamu Furuse, Goran Nenadić, Hitoshi Iida, Irena Spasić, Susumu Ota, Katsumori Matsushima and Takuya Matsuzaki. Their work appears in journals such as Information Sciences, International Journal of Medical Informatics and Language Resources and Evaluation.
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.