Gakuto Kurata
- Artificial Intelligence top 2%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Experimental and Cognitive Psychology
- Co-authors
- Bowen ZhouBing XiangBhuvana RamabhadranSamuel ThomasTakashi FukudaGeorge SaonJia CuiKartik Audhkhasi
- Topics
- Speech Recognition and Synthesis (40 papers)Natural Language Processing Techniques (22 papers)Speech and Audio Processing (16 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Gakuto Kurata
47 papers receiving 522 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 484
- Signal Processing 185
- Computer Vision and Pattern Recognition 102
- Information Systems 38
- Experimental and Cognitive Psychology 21
Countries citing papers authored by Gakuto Kurata
This map shows the geographic impact of Gakuto Kurata'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 Gakuto Kurata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gakuto Kurata more than expected).
Fields of papers citing papers by Gakuto Kurata
This network shows the impact of papers produced by Gakuto Kurata. 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 Gakuto Kurata. The network helps show where Gakuto Kurata may publish in the future.
Co-authorship network of co-authors of Gakuto Kurata
This figure shows the co-authorship network connecting the top 25 collaborators of Gakuto Kurata. A scholar is included among the top collaborators of Gakuto Kurata 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 Gakuto Kurata. Gakuto Kurata 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 | 5 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 149 | |
| 12 | 74 | |
| 13 | A METRIC FOR EVALUATING SPEECH RECOGNITION ACCURACY BASED ON HUMAN PERCEPTION | 1 |
| 14 | 5 | |
| 15 | Speech Input Method in Automobiles Reflecting Analysis on How Users Speak | 1 |
| 16 | 6 | |
| 17 | 5 | |
| 18 | GDQA: Graph Driven Question Answering System - NTCIR-4 QAC2 Experiments. | 1 |
| 19 | 4 | |
| 20 | 9 |
About Gakuto Kurata
Gakuto Kurata is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 52 papers that have together received 582 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (40 papers), Natural Language Processing Techniques (22 papers) and Speech and Audio Processing (16 papers). The work is most often cited by research in Signal Processing (185 citations), Artificial Intelligence (484 citations) and Computer Vision and Pattern Recognition (102 citations). Gakuto Kurata has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Bowen Zhou, Bing Xiang, Bhuvana Ramabhadran, Samuel Thomas, Takashi Fukuda, George Saon, Jia Cui, Kartik Audhkhasi, Mo Yu and Masafumi Nishimura. Their work appears in journals such as Speech Communication, IEICE Transactions on Information and Systems and NTCIR.
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.