Toru Hisamitsu
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Health Information Management top 2%
- Epidemiology
- Health Informatics top 5%
- Co-authors
- Yoshiki NiwaKamal JethwaniStephen AgboolaJumpei SatoJennifer FelstedTakuma ShibaharaSara GolasSujay Kakarmath
- Topics
- Natural Language Processing Techniques (8 papers)Topic Modeling (6 papers)Semantic Web and Ontologies (5 papers)
- Journals
- BMC Medical Informatics and Decision MakingMachine Vision and ApplicationsTerminology International Journal of Theoretical and Applied Issues in Specialized Communication
- Partner nations
- JapanUnited States
In The Last Decade
Toru Hisamitsu
14 papers receiving 238 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 160
- Cardiology and Cardiovascular Medicine 82
- Health Information Management 74
- Epidemiology 39
- Health Informatics 33
Countries citing papers authored by Toru Hisamitsu
This map shows the geographic impact of Toru Hisamitsu'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 Toru Hisamitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Hisamitsu more than expected).
Fields of papers citing papers by Toru Hisamitsu
This network shows the impact of papers produced by Toru Hisamitsu. 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 Toru Hisamitsu. The network helps show where Toru Hisamitsu may publish in the future.
Co-authorship network of co-authors of Toru Hisamitsu
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Hisamitsu. A scholar is included among the top collaborators of Toru Hisamitsu 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 Toru Hisamitsu. Toru Hisamitsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 177 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | Associative information access using DualNAVI. | 1 |
| 6 | Topic-Word Selection Based on Combinatorial Probability. | 11 |
| 7 | 19 | |
| 8 | 6 | |
| 9 | Term Extraction Using A New Measure of Term Representativeness. | 8 |
| 10 | Interactive Document Search with DualNAVI. | 1 |
| 11 | 7 | |
| 12 | An Efficient OCR Error Correction Method for Japanese Text Recognition. | 1 |
| 13 | A Generalized Algorithm for Japanese Morphological Analysis and Comparative Estimation of Some Heuristics | 1 |
| 14 | 5 |
About Toru Hisamitsu
Toru Hisamitsu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 256 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Health Informatics (33 citations), Health Information Management (74 citations) and Artificial Intelligence (160 citations). Toru Hisamitsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshiki Niwa, Kamal Jethwani, Stephen Agboola, Jumpei Sato, Jennifer Felsted, Takuma Shibahara, Sara Golas, Sujay Kakarmath, Joseph C. Kvedar and Jun’ichi Tsujii. Their work appears in journals such as BMC Medical Informatics and Decision Making, Machine Vision and Applications and Terminology International Journal of Theoretical and Applied Issues in Specialized Communication.
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.