Masafumi Nishida
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Social Psychology top 10%
- Language and Linguistics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Seiichi YamamotoKristiina JokinenYasuo HoriuchiShingo KuroiwaNorihide KitaokaAkira IchikawaTomoki HayashiKazuya Takeda
- Topics
- Speech Recognition and Synthesis (22 papers)Speech and Audio Processing (20 papers)Speech and dialogue systems (17 papers)
In The Last Decade
Masafumi Nishida
46 papers receiving 335 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 203
- Human-Computer Interaction 111
- Social Psychology 85
- Language and Linguistics 85
- Computer Vision and Pattern Recognition 78
Countries citing papers authored by Masafumi Nishida
This map shows the geographic impact of Masafumi Nishida'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 Masafumi Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masafumi Nishida more than expected).
Fields of papers citing papers by Masafumi Nishida
This network shows the impact of papers produced by Masafumi Nishida. 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 Masafumi Nishida. The network helps show where Masafumi Nishida may publish in the future.
Co-authorship network of co-authors of Masafumi Nishida
This figure shows the co-authorship network connecting the top 25 collaborators of Masafumi Nishida. A scholar is included among the top collaborators of Masafumi Nishida 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 Masafumi Nishida. Masafumi Nishida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | Phoneme Set Design Using English Speech Database by Japanese for Dialogue-Based English CALL Systems | 2 |
| 8 | Differences in Interactional Attitudes in Native and Second Languag Conversations: Quantitative Analyses of Multimodal Three-Party Corpus | 4 |
| 9 | D-14-4 Evaluation of a Dialogue-based CALL System | 1 |
| 10 | Multimodal Corpus of Multi-party Conversations in Second Language | 7 |
| 11 | 5 | |
| 12 | 27 | |
| 13 | 34 | |
| 14 | 2 | |
| 15 | Analysis of chord progression by HPSG | 8 |
| 16 | 5 | |
| 17 | Modelling of Utterance Impression based on Prosody in Dialogue Speech | 0 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 4 |
About Masafumi Nishida
Masafumi Nishida is a scholar working on Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 57 papers that have together received 380 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (20 papers) and Speech and dialogue systems (17 papers). The work is most often cited by research in Human-Computer Interaction (111 citations), Language and Linguistics (85 citations) and Artificial Intelligence (203 citations). Masafumi Nishida has collaborated with scholars based in Japan, Finland and China. Frequent co-authors include Seiichi Yamamoto, Kristiina Jokinen, Yasuo Horiuchi, Shingo Kuroiwa, Norihide Kitaoka, Akira Ichikawa, Tomoki Hayashi, Kazuya Takeda, Yasuo Ariki and Masafumi Nishimura. Their work appears in journals such as Sensors, Cognitive Science and Applied Sciences.
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.